# Png2Psd > A browser tool for AI raster layer separation, layered PSD export and prompt-based object extraction. Public product facts reviewed: 2026-10-23. Website: https://www.png2psd.com/ ## Capabilities and limitations - Layer separation: upload an authorized JPG/JPEG, PNG or static WebP; describe desired visual elements; review the returned raster layers; edit and export PSD or individual PNG layers. - Prompt Cutout: upload an image and describe one part to keep; compare the returned image with the source and download PNG. PNG output is not a guarantee of transparency; opaque results are flagged in the interface. - AI separation reconstructs image content. It does not recover original vector paths, editable font text, adjustment layers, source history or exact hidden pixels. Review faces, fine text, edges, shadows and occluded areas before use. - Figma and Canva workflows require a supported image export first. Native projects, private links, components, fonts, Auto Layout, PDF, video and animated timelines are not imported or recovered. These are independent workflows, not official integrations. - Png2Psd does not offer a general existing-PSD-to-JPG/PNG importer. Layer PNG download refers to layers generated or edited in this application. - Layer-separation uploads: at most 30 MB and at least 262,144 total pixels. The minimum is a total-pixel count, not a per-side minimum. - Running your own AI task requires sign-in and sufficient credits. Public examples are available without an account. Processing time and output quality vary. - Upload only images you are authorized to process. Conversion does not grant rights to third-party designs, characters, brands, fonts or extracted assets. Do not infer an automatic deletion deadline from these documents. ## Pricing New accounts receive 50 non-expiring signup credits, once per account. No credit card is required to register. - Starter: USD $9.90, 500 credits, one-time payment, valid 6 months. - Creator: USD $29.90, 1900 credits, one-time payment, valid 6 months. - Studio: USD $59.90, 4000 credits, one-time payment, valid 6 months. - Layer separation: 2 credits per output layer up to 2,610,000 input pixels; 4 credits per output layer above that threshold. Deducted after successful PSD generation, not at download. Actual image allowance depends on output layers and resolution. - Prompt Cutout: 10 credits per successful extraction, regardless of input resolution. - Failed tasks do not consume generation credits. Purchased credits are one-time packs with no automatic renewal. Current pricing on the pricing page takes precedence. - [Full pricing](https://www.png2psd.com/pricing) - [中文价格](https://www.png2psd.com/zh/pricing) ## Tools and guides - [Image to PSD Converter with Editable Layers](https://www.png2psd.com/tools/image-to-psd): Convert JPG, PNG and WebP images into an editable Photoshop PSD with transparent layers. - [PNG to PSD Converter for Transparent Layered Files](https://www.png2psd.com/tools/png-to-psd): Turn a PNG into an editable PSD and separate the visible subject, background and key elements into layers. - [JPG to PSD Converter with AI Layer Separation](https://www.png2psd.com/tools/jpg-to-psd): Convert a flat JPG into a Photoshop PSD with separate, editable image layers. - [How to Turn a Flat Image into Editable PSD Layers](https://www.png2psd.com/guides/how-to-edit-psd-layers): A practical guide to separating a JPG, PNG or WebP into Photoshop layers and cleaning up the result. - [Image to Layers: AI Layer Separation Online](https://www.png2psd.com/tools/image-to-layers): Split a flat image into editable raster layers, inspect the result online, and export a layered PSD or transparent PNG layers. - [Free AI Layer Separation: Credits & Sign-In](https://www.png2psd.com/tools/free-image-layer-separation): Understand free image layer separation online, signup credits, account requirements and what happens after your trial credits are used. - [How to Separate Layers of a Flat Image](https://www.png2psd.com/guides/separate-layers-flat-image): A practical workflow for separating a flattened JPG or PNG into editable layers, with advice on edges, occlusion and missing source files. - [Separate AI & GPT Images into Editable Layers](https://www.png2psd.com/guides/separate-ai-generated-image-layers): Turn a flattened AI-generated image into raster PSD layers. Learn the limits for GPT images, prompts, text and pixel fidelity. - [Edit an Image File Layer by Layer Online](https://www.png2psd.com/guides/edit-image-layers): Learn how to edit separated raster layers: visibility, names, order, position, size, rotation and opacity, then export a PSD. - [AI Layer Separation for Live2D Art: Limits](https://www.png2psd.com/guides/live2d-layer-separation): Use AI-separated character artwork as a preparation reference for Live2D. Understand why a layered PSD is not automatically rig-ready. - [WebP to PSD with AI Raster Layers](https://www.png2psd.com/tools/webp-to-psd): Convert a static WebP into a layered PSD. Separate banner elements, inspect transparency and compression artifacts, then export PSD or PNG layers. - [Photo to PSD: Separate Subjects into Layers](https://www.png2psd.com/tools/photo-to-psd): Turn a product photo or portrait into a PSD with AI-separated raster layers. Learn how to inspect hair, shadows, reflections and hidden areas. - [Figma Export to PSD: Rebuild Raster Layers](https://www.png2psd.com/tools/figma-to-psd): Export a Figma frame as PNG, then create raster PSD layers with AI. Understand the limits for fonts, components, Auto Layout and design handoff. - [Canva Export to Layered PSD with AI](https://www.png2psd.com/tools/canva-to-layered-psd): Turn a Canva PNG or JPG export into raster PSD layers. Review what can be separated and what must be recreated, including fonts and editable templates. - [AI Prompt Cutout: Extract an Object from an Image](https://www.png2psd.com/tools/prompt-cutout): Upload an image and describe the object to extract. Compare the AI cutout with the original and download the result as PNG. - [Layer Separation vs Background Removal: Which to Use?](https://www.png2psd.com/guides/layer-separation-vs-background-removal): Choose a subject cutout or several editable image layers. Compare PNG and PSD outputs, prompts, hidden backgrounds and real examples. - [图片转 PSD：生成可编辑图层](https://www.png2psd.com/zh/tools/image-to-psd): 将 JPG、PNG 和 WebP 拆分为带透明栅格图层的 Photoshop PSD，支持预览、排序和导出。 - [PNG 转 PSD：拆分主体与透明图层](https://www.png2psd.com/zh/tools/png-to-psd): 把 PNG 拆分为可在 Photoshop 中编辑的栅格图层，检查透明边缘并导出 PSD。 - [JPG 转 PSD：AI 拆分扁平图片](https://www.png2psd.com/zh/tools/jpg-to-psd): 将 JPG 或 JPEG 中的主体与主要元素拆成独立图层，导出 Photoshop PSD。 - [如何把扁平图片转换为可编辑 PSD 图层](https://www.png2psd.com/zh/guides/how-to-edit-psd-layers): 从准备原图、描述拆分目标到检查边缘和导出 PSD，了解 AI 拆分的适用范围与限制。 - [图片转图层：在线 AI 图片分层](https://www.png2psd.com/zh/tools/image-to-layers): 把扁平图片中的主体、背景与物体拆成独立栅格图层，在线检查结果并导出分层 PSD 或透明 PNG。 - [免费 AI 图片分层：试用积分与登录要求](https://www.png2psd.com/zh/tools/free-image-layer-separation): 了解在线图片分层的免费试用额度、账号要求、积分扣费与使用限制，避免把免费演示理解为无限处理。 - [如何拆分扁平图片的图层](https://www.png2psd.com/zh/guides/separate-layers-flat-image): 从 JPG、PNG 原图到可编辑 PSD，了解拆分步骤、透明边缘、物体遮挡和源文件缺失时的处理方法。 - [把 AI 与 GPT 生成图片拆成可编辑图层](https://www.png2psd.com/zh/guides/separate-ai-generated-image-layers): 将导出的 AI 生成 PNG、JPG、WebP 转为栅格 PSD 图层，了解文字、提示词和像素一致性的限制。 - [在线逐层编辑图片文件](https://www.png2psd.com/zh/guides/edit-image-layers): 学习编辑分离后的栅格图层：显隐、命名、顺序、位置、尺寸、旋转和透明度，再导出 PSD。 - [Live2D 素材的 AI 分层准备与限制](https://www.png2psd.com/zh/guides/live2d-layer-separation): 把 AI 拆分的角色插画作为 Live2D 准备参考，了解分层 PSD 与可绑定角色文件之间的区别。 - [WebP 转 PSD：AI 拆分透明栅格图层](https://www.png2psd.com/zh/tools/webp-to-psd): 把静态 WebP 图片转为分层 PSD，拆分横幅中的主体与装饰元素，检查透明边缘和压缩痕迹后导出。 - [照片转 PSD：拆分主体、背景与物体图层](https://www.png2psd.com/zh/tools/photo-to-psd): 把产品摄影或人像照片拆为 PSD 栅格图层，了解发丝、阴影、反光和遮挡区域的检查方法与效果限制。 - [Figma 导出图转 PSD：重建可编辑栅格图层](https://www.png2psd.com/zh/tools/figma-to-psd): 先把 Figma 画框导出为 PNG，再用 AI 拆成 PSD 栅格图层。了解字体、组件、自动布局与设计交付的限制。 - [Canva 导出图转分层 PSD：AI 拆分与编辑](https://www.png2psd.com/zh/tools/canva-to-layered-psd): 把 Canva 导出的 PNG 或 JPG 拆成 PSD 栅格图层，了解可以分离的内容，以及字体、模板等需要重新创建的部分。 - [AI 提示词抠图：描述并提取图片中的指定物体](https://www.png2psd.com/zh/tools/prompt-cutout): 上传图片并描述想保留的主体，对照原图检查 AI 提取结果，下载 PNG。了解提示词写法、透明背景与积分规则。 - [图片分层与去背景有什么区别，应该选哪个？](https://www.png2psd.com/zh/guides/layer-separation-vs-background-removal): 根据下一步编辑任务选择单主体抠图或多个独立图层，比较 PNG、PSD、提示词、遮挡背景和真实案例。 - [Separar una imagen en capas editables con IA](https://www.png2psd.com/es/guides/separate-layers-flat-image): Qué IA permite separar una imagen editable: convierte JPG, PNG o WebP en capas rasterizadas y exporta PSD con límites claros. - [Cara Membuat PSD Berlayer dari Gambar dengan AI](https://www.png2psd.com/id/guides/separate-layers-flat-image): Cara membuat file PSD dari gambar yang sudah jadi: pisahkan JPG atau PNG menjadi layer raster dengan AI, lalu periksa dan ekspor. ## Multilingual questions and answers - [English FAQ](https://www.png2psd.com/faq): 57 answers about layer separation, PSD export, limits, credits and privacy. - [中文 FAQ](https://www.png2psd.com/zh/faq): 57 answers about layer separation, PSD export, limits, credits and privacy. - [Deutsch FAQ](https://www.png2psd.com/de/faq): 57 answers about layer separation, PSD export, limits, credits and privacy. - [Español FAQ](https://www.png2psd.com/es/faq): 57 answers about layer separation, PSD export, limits, credits and privacy. - [Français FAQ](https://www.png2psd.com/fr/faq): 57 answers about layer separation, PSD export, limits, credits and privacy. - [日本語 FAQ](https://www.png2psd.com/ja/faq): 57 answers about layer separation, PSD export, limits, credits and privacy. - [한국어 FAQ](https://www.png2psd.com/ko/faq): 57 answers about layer separation, PSD export, limits, credits and privacy. - [Português FAQ](https://www.png2psd.com/pt/faq): 57 answers about layer separation, PSD export, limits, credits and privacy. - [Русский FAQ](https://www.png2psd.com/ru/faq): 57 answers about layer separation, PSD export, limits, credits and privacy. - [Türkçe FAQ](https://www.png2psd.com/tr/faq): 57 answers about layer separation, PSD export, limits, credits and privacy. ## Public layer separation examples - [Examples](https://www.png2psd.com/examples): self-owned originals, actual AI raster layers and sample PSD exports. - [拆图案例](https://www.png2psd.com/zh/examples): self-owned originals, actual AI raster layers and sample PSD exports. - [Beispiele](https://www.png2psd.com/de/examples): self-owned originals, actual AI raster layers and sample PSD exports. - [Ejemplos](https://www.png2psd.com/es/examples): self-owned originals, actual AI raster layers and sample PSD exports. - [Exemples](https://www.png2psd.com/fr/examples): self-owned originals, actual AI raster layers and sample PSD exports. - [分離事例](https://www.png2psd.com/ja/examples): self-owned originals, actual AI raster layers and sample PSD exports. - [분리 사례](https://www.png2psd.com/ko/examples): self-owned originals, actual AI raster layers and sample PSD exports. - [Exemplos](https://www.png2psd.com/pt/examples): self-owned originals, actual AI raster layers and sample PSD exports. - [Примеры](https://www.png2psd.com/ru/examples): self-owned originals, actual AI raster layers and sample PSD exports. - [Örnekler](https://www.png2psd.com/tr/examples): self-owned originals, actual AI raster layers and sample PSD exports. - [studio-product](https://www.png2psd.com/examples/studio-product): 5 output layers; 1254 x 1254 canvas. - [character-art](https://www.png2psd.com/examples/character-art): 5 output layers; 1254 x 1254 canvas. Public cases use self-owned AI-generated originals, not customer uploads. Details can differ; a base layer may retain objects. The character case is not a Live2D rig. These cases do not establish results for every design workflow. ## Machine-readable discovery - [Concise product index](https://www.png2psd.com/llms.txt) - [Expanded public answers and guides](https://www.png2psd.com/llms-full.txt) - [Sitemap](https://www.png2psd.com/sitemap.xml) ## Full tools and guides ### Image to PSD Converter with Editable Layers Source: https://www.png2psd.com/tools/image-to-psd Language: en Png2Psd uses AI to identify the main subject and supporting elements in a flat image, then exports a PSD with separate transparent layers you can refine in Photoshop. - Upload JPG, PNG or WebP files up to 30 MB - Preview, hide, reorder and rename generated layers - Download a real PSD plus individual PNG layers - Check the result before using it in a production design #### Which AI tool can turn an image into an editable PSD? Png2Psd creates inferred raster layers from a JPG, PNG or WebP and exports a PSD you can continue editing. Choose it when visible objects need separate layers. If you only need the same flat picture saved inside a PSD, a normal image editor may be enough. Editable layers here means independent raster elements; original font text, vector paths and adjustment layers are not recovered. #### Convert in a browser without a Photoshop extension Upload and inspect the result in the browser, then export PSD or individual PNG layers. Png2Psd does not require a Photoshop installation or a Chrome extension, and it does not offer an official Photoshop plug-in. You can inspect public sample PSDs before signing up. Your own AI processing requires an account and sufficient credits; a successful export still needs a visual check. #### Steps 1. Upload a supported image 2. Describe any elements you want separated 3. Review the layer preview and export your PSD #### What is an image to PSD converter? Saving an image as PSD usually creates one layer. AI separation creates independent raster layers, but cannot recover the original text, vectors, masks or adjustment layers. #### Does Png2Psd add a watermark? No watermark is added to the exported PSD or PNG layers. #### Which formats are supported? JPG, JPEG, PNG and WebP images are supported, up to 30 MB per upload. #### Which AI tool can help create a layered PSD from an image? Png2Psd can infer visible objects from a JPG, PNG or WebP, create separate raster layers and export PSD. Inspect the public source and sample PSD before trying your own image. It reconstructs content and does not recover the original design layers or editable fonts. #### Can I convert an image to PSD without Photoshop or a Chrome extension? Yes. Png2Psd runs in a browser and does not require either. Sign in to process your own supported image with available credits, inspect the result and download PSD. This is not a Photoshop integration or browser extension. #### Can I turn an image into a layered PSD with AI? AI layer separation creates independently editable raster elements. Saving the image as PSD alone usually creates one merged layer. Inspect reconstructed detail; original fonts, vector paths and design history cannot be recovered. ### PNG to PSD Converter for Transparent Layered Files Source: https://www.png2psd.com/tools/png-to-psd Language: en PNG can store transparency, but not a Photoshop layer stack. Png2Psd infers separate raster layers from visible content. Check edges, shadows and translucent objects because generated masks may differ from the source. - Keep the original PNG, especially when it already has transparency - Inspect generated edges against both light and dark backgrounds - Separate the product, shadow and background with a short prompt - If you only need a single-layer PSD, use Save As in an image editor #### Separate a flat logo into raster layers A logo exported as PNG may contain lettering, an emblem and a background merged into one picture. You can request broad element separation, then inspect fine outlines and letter shapes. Keep the original SVG, Illustrator or design file whenever available: inferred PSD layers do not restore vector paths, font text or brand-exact geometry. Use the source design application when those are required. #### Steps 1. Choose a PNG 2. Add an optional separation prompt 3. Download the layered PSD #### Can I convert a transparent PNG to PSD? Yes. Transparent PNG is supported as input. AI-generated masks can differ from the source alpha channel, so inspect edges after conversion. #### Can I edit the layers in Photoshop? Yes. The exported file is a standard PSD with independent raster layers. #### Can I turn a PNG logo into separate editable layers? You can try separating visible elements into raster layers and export PSD. Check fine lines and lettering against the source. The result is not an SVG or vector logo and does not restore editable font text; use the original design file for exact brand artwork. #### Can AI turn a PNG into PSD layers? AI layer separation creates independently editable raster elements. Saving the image as PSD alone usually creates one merged layer. Inspect reconstructed detail; original fonts, vector paths and design history cannot be recovered. ### JPG to PSD Converter with AI Layer Separation Source: https://www.png2psd.com/tools/jpg-to-psd Language: en JPG stores neither layers nor transparency. Png2Psd infers visual elements and generates separate raster layers: this is reconstruction, not recovery of historical design layers. Inspect overlapping objects and compression artifacts. - No Photoshop installation required to start - Add a prompt when a subject needs special handling - Credits are charged after PSD generation succeeds - Export PSD and individual PNG layers #### JPG to layered PSD AI versus a one-layer converter A format converter can put the entire JPG into one PSD layer without identifying its objects. AI layer separation is a different task: it attempts to isolate visible elements into a new raster stack. Use the product example to inspect actual separate objects, then review compression artifacts and small text in your own result. Neither approach retrieves a deleted source PSD. #### Steps 1. Drop in a JPG 2. Let AI identify the composition 3. Check the result and download #### Will converting JPG to PSD improve image quality? AI separation can reconstruct pixels and change details. A layered PSD is not a guarantee of higher resolution or exact recovery of the original design. #### When are credits charged? Credits are deducted automatically after PSD generation succeeds, not when you click Download. Failed tasks do not consume credits. #### Is there a browser workflow for JPG to layered PSD AI without a Photoshop extension? Yes. Png2Psd accepts JPG or JPEG in the browser and can export inferred raster layers as PSD. No Photoshop extension is required. It does not restore editable font text, original vectors or a precise hidden background. #### Can I turn an image into a layered PSD with AI? AI layer separation creates independently editable raster elements. Saving the image as PSD alone usually creates one merged layer. Inspect reconstructed detail; original fonts, vector paths and design history cannot be recovered. ### How to Turn a Flat Image into Editable PSD Layers Source: https://www.png2psd.com/guides/how-to-edit-psd-layers Language: en The fastest workflow is to start with a high-resolution source, describe the elements that matter, review the generated masks, and finish the small adjustments in Photoshop. - Use at least 262,144 total pixels (512 × 512 is one example, not a minimum per side) - Name the subject, background and objects in the prompt - Inspect edges at 100% before export - Rasterized text does not become editable font text; recreate typography when needed #### Inspect halos, hair and small details before export Check each layer at 100% and against both light and dark backgrounds. Compare hair, thin handles, small items and label text with the original. Then view the full composition and move the intended object to reveal duplicates or gaps in the base. Use the browser editor for position, scale, rotation, opacity and layer order; use a suitable raster editor for precise mask painting and seam repair. A refined prompt can guide a new task, but is not a guarantee of pixel-identical edges. #### Steps 1. Prepare a clear source image 2. Upload it and describe the desired layers 3. Review visibility and order 4. Export the PSD 5. Polish masks and edges in Photoshop #### What makes a good source image? Clear contrast between the subject and background, sufficient resolution and minimal motion blur produce better separation. #### Can I choose what gets separated? Yes. Add a short prompt describing the subject, background or objects you want as separate layers. #### Is Png2Psd a replacement for Photoshop? It automates the tedious first separation step; Photoshop remains useful for detailed retouching. #### How do I clean halos and missing hair after an AI layer split? Compare the layer with the original on light and dark backgrounds, then inspect the full composition for seams and missing pixels. Try a clearer source or a focused request if needed. Finish precise edge masks in a suitable raster editor; the Png2Psd browser editor provides composition controls rather than a dedicated mask-refinement brush. ### Image to Layers: AI Layer Separation Online Source: https://www.png2psd.com/tools/image-to-layers Language: en Image to layers means rebuilding visible elements of one flat picture as independently editable raster layers. Png2Psd accepts JPG, PNG and WebP, uses AI to separate visual elements, and exports a PSD. It creates new layers; it does not recover a hidden original Photoshop document. - Separate visible objects for your next composition rather than just changing the file extension - Use a clear source with at least 262,144 total pixels and a file size of 30 MB or less - Name the subject, background and secondary objects in the optional prompt - Review generated details and overlaps; reconstructed pixels can differ from the original #### Choose layer separation, not just a file conversion Renaming a PNG to .psd or saving a JPEG as PSD usually leaves one merged layer. Background removal normally produces one subject cutout. Layer separation is useful when you need several elements that can be moved or hidden independently. #### From image file to layer editing After processing, open the result or browser editor. You can inspect and hide layers, rename them, rearrange the stack in the editor, and adjust position, size, rotation and opacity. This edits raster content rather than restoring vector paths or editable font text. #### Extract image assets as separate PNGs in one ZIP To reuse several objects from one JPG, PNG or WebP, run layer separation, inspect each generated layer, and choose the PNG layer ZIP from the result page. You can also download one layer at a time or export a PSD for its layer stack. The ZIP contains the visible layers from that completed task; it is not a batch converter for multiple source files. Compare edges and details with the original before placing the assets in a new design. #### When to choose AI separation or manual cutting AI separation can provide an editable starting point when a flat composition has several visible objects. Manual cutting is more appropriate when exact contours, fine lettering or animation-specific parts matter. Start with a small set of named objects, inspect the returned raster layers, and finish precise masks in a suitable image editor. Do not assume every gradient, shadow or overlapping object becomes a separate layer. #### Steps 1. Sign in and upload your image 2. Describe the visual objects you want separated 3. Inspect the returned layers and their alignment 4. Edit the raster layers or export PSD and PNG layers #### How do I turn an image into layers online? Upload a supported flat image, describe the objects you want isolated, run separation, and inspect the output. Download the PSD for further editing. An account and sufficient credits are required to run a task. #### Can an image-to-layer tool recover the original layers? No. A flattened JPG or PNG does not retain the original layer stack. AI can infer visible objects and reconstruct pixels, but cannot recover the original fonts, vectors, masks or adjustment layers. #### What is the difference between image to layer and image to layers? Both search phrases often refer to separating an image into independently editable pieces. If you only want one transparent subject, background removal may be enough; multiple objects call for layer separation. #### Can I edit an image file layer by layer? Yes, after separation you can edit the new raster layers independently in the browser editor or a compatible PSD editor. Check edges and reconstructed areas before using the result. #### Should I choose an image layer separator or a background remover? Choose a cutout when only one subject is needed. Choose image layer separation when several visible elements must be moved or hidden independently and exported as PSD. In either case, inspect edges and hidden areas; a transparent subject alone does not provide a reconstructed clean background. #### Can I extract assets from a photo as PNG files in a ZIP? Yes. For a completed layer-separation task, use the PNG layer ZIP on the result page or download individual generated layers. Upload JPG/JPEG, PNG or WebP, sign in and use available credits. The ZIP packages visible returned layers from one task, not multiple input photos; hidden layers are excluded. #### How does AI image-to-layers compare with manually cutting objects? AI attempts to infer separate raster elements and can reduce the initial setup. Manual cutting gives you direct control over the selected pixels. Use manual refinement for exact masks, fine text, gradients and covered areas; neither approach can retrieve original layers from a flattened file. ### Free AI Layer Separation: Credits & Sign-In Source: https://www.png2psd.com/tools/free-image-layer-separation Language: en Png2Psd offers a limited free trial through signup credits, not unlimited free image splitting. You can browse public examples without signing in; running AI separation requires an account and enough credits. Successful PSD generation consumes credits according to the output layer count and input resolution. - New accounts receive 50 signup credits once, without a credit card - Up to 2,610,000 input pixels: 2 credits per output layer; above that: 4 credits per layer - A failed task does not consume generation credits - Purchased credits are one-time packs and expire after 6 months; signup credits do not expire #### Can I use an AI layer splitter with no sign-in? You can inspect the public case gallery and download its self-owned sample assets without an account. Uploading your own picture and executing a task requires sign-in. Do not interpret a public demo as an anonymous processing service. #### What does online free actually include? The free allowance is measured in credits, not a guaranteed number of images. An image with more output layers uses more credits. Check the pricing calculator before starting; running out of credits requires a purchase or a smaller task where appropriate. #### Steps 1. Review the public examples without signing in 2. Create an account to receive signup credits 3. Check input resolution and estimated credit use 4. Run a task, then review and export the successful result #### Is image layer separation online free? There is a limited signup-credit trial. It is not unlimited free processing. The number of images you can process depends on resolution and the number of output layers. #### Is there an AI layer splitter with no sign-in on Png2Psd? Public examples require no sign-in. Your own AI separation tasks require an account and sufficient credits. #### Can I separate a GPT image into layers online for free? You can try a supported AI-generated image using your available signup credits after signing in. The trial does not guarantee unlimited images, complete object separation or pixel-identical recovery. #### Are credits charged only when I download the PSD? No. Credits are deducted after successful PSD generation, even if you do not download it. Failed tasks do not consume generation credits. #### Can I inspect a layered PSD before signing up? Yes. Public examples include a self-owned original, actual output layers and a sample PSD download without sign-in. They help you evaluate the workflow, but do not guarantee the same result for your image. Processing your own upload requires an account and sufficient credits. ### How to Separate Layers of a Flat Image Source: https://www.png2psd.com/guides/separate-layers-flat-image Language: en To separate layers of a flat image, retain the original picture, identify the elements you need, use AI separation to produce new raster layers, and inspect each result before exporting PSD. A flat image contains merged pixels, so the original design-layer structure cannot be recovered exactly. - If a source PSD, SVG or design file exists, use it first - Separate only the elements that matter for your next edit - Overlapping objects may need reconstruction of hidden areas - Use both light and dark backgrounds to inspect transparency and edge halos #### What can be separated from a flattened image? A distinct product, person, background or decoration is usually easier to inspect than tiny lettering, translucent glass or heavily overlapping objects. AI output varies by image. A returned layer is an editing starting point, not proof that the hidden pixels match the original. #### When the flattened layers cannot be recovered Editable fonts, vector paths, adjustment layers and the designer's masks were discarded when the file was flattened. Recreate typography and complex masks as needed. Moving a cutout can reveal a hole or duplicated content in the base image, which may require manual retouching. #### Steps 1. Save a copy of the highest-quality original 2. List the subject, background and objects to isolate 3. Upload and add a focused separation prompt 4. Inspect every layer at 100% zoom and in the full composition 5. Export PSD and polish the masks or fill gaps in an editor #### How do I separate layers of a flat image? Use an AI separation workflow to infer visible elements and create new transparent raster layers. Inspect alignment and edges, then export PSD. This cannot restore the original source-layer structure. #### How can I split a JPEG into separate layers? A JPEG has no stored layers or alpha channel. AI can infer objects and reconstruct separated raster layers. Compression artifacts and covered regions need special inspection. #### Can Photoshop unflatten an image after it is saved? If the only file available is a merged JPG or PNG, the original layer history is absent. An unflattening or AI tool reconstructs content rather than reversing the export. #### Will the result look exactly like the input? Not necessarily. AI may change detail, geometry, shadows or text. Compare the original and output, and keep the source available for corrective edits. ### Separate AI & GPT Images into Editable Layers Source: https://www.png2psd.com/guides/separate-ai-generated-image-layers Language: en If an image generated by GPT or another image model is exported as PNG, JPG or WebP, it is still a flat raster image. Png2Psd can attempt to separate its visible subject, background and objects into new layers. It does not access the other model's generation history or restore original editable design components. - Use the downloaded original rather than a compressed screenshot - Make sure you have the rights to use the image and its visible elements - Ask for a few clear objects instead of promising every tiny detail - Review faces, hands, small text and covered regions because AI reconstruction can change them #### A GPT image is not a layered design file The prompt and the visible image do not contain a recoverable Photoshop document. Layer separation works from the exported pixels; it does not retrieve internal model layers or hidden editing metadata. #### What makes AI artwork easier to edit? Start with well-separated silhouettes, clear contrast and enough resolution. Request subject, background and a few important props. For text-heavy posters, keep separated lettering as a raster reference and recreate live text if you need to change wording or fonts. #### Steps 1. Download your original AI-generated image 2. Upload the file and name the desired visual layers 3. Run separation using available credits 4. Compare the generated elements with the source 5. Export a layered PSD and correct details when needed #### Can I separate GPT image layers online? Yes, a supported exported GPT image can be used as a flat input. The task creates new inferred raster layers; it does not recover model-internal or original Photoshop layers. #### Can I separate AI-generated images online for free? Available signup credits can be used for a limited trial after sign-in. An account and sufficient credits are required, and processing is not unlimited. #### Can I turn an AI image into PSD with editable text? You can export raster layers in PSD, but text visible in the source image does not become editable font text automatically. Recreate typography where necessary. #### Does this only work with GPT images? No. The input format and visible composition matter more than the image generator. JPG, PNG and WebP are supported; other image providers are not integrated or accessed by this workflow. #### Does AI to PSD mean converting an Adobe Illustrator .ai file? Not in this workflow. Here AI refers to an AI-generated image exported as JPG, PNG or WebP. Native Illustrator .ai files are not accepted, and their vector paths or editable text are not transferred. Use the original design application when you need native vector structure. ### Edit an Image File Layer by Layer Online Source: https://www.png2psd.com/guides/edit-image-layers Language: en To edit an image file layer by layer, first create separate raster layers from the flat source. In Png2Psd's browser editor you can select layers, adjust visibility and stacking order, rename them, and change position, scale, rotation and opacity. Export the PSD when the composition is ready. - Changing one layer's visibility is different from removing it from the source image - Keep a copy of the original before changing the composition - PSD export preserves the current raster composition; font text and vectors are not restored - Use a dedicated image editor for precise mask work, colour correction and complex retouching #### Why a JPG or PNG cannot be edited as original design layers The pixels in a flat file are merged. Before separation, an image editor sees one picture. AI creates new pieces that you can adjust individually, but the edges and covered areas may need corrections. #### Editing without losing context Compare the complete composition while inspecting each layer separately. Moving an object may expose its old location in the base image. Check backgrounds and shadows, then correct leftover pixels or missing regions in a raster editor. #### Choose a PSD stack or separate PNG assets Use PSD when you want to continue editing the raster stack in a compatible editor. For reusable individual elements from a completed separation task, the result page offers individual PNG downloads and a PNG layer ZIP. These downloads are not a spritesheet, a sequence of animation frames or SVG paths. This workflow starts from a supported flat image; it is not an uploader for arbitrary PSD documents. #### Steps 1. Generate layers from the original image 2. Open the browser editor from the task result 3. Select and adjust one layer at a time 4. Check stacking, visibility and alignment 5. Export PSD for further raster editing #### How do I edit an image file layer by layer? Separate visible elements into new raster layers, open the editor, select a layer and adjust its properties. A flattened JPG or PNG cannot provide the original source-layer structure. #### Can I move one object without changing the others? You can move a returned layer independently. Inspect its former position and covered areas: the base image may retain duplicated content or require filling. #### Can I reorder and rename image layers online? Yes. Use the browser editor to rename layers and rearrange the stack, then check the exported composition. #### Is an image file layer editor a replacement for Photoshop? It supports separation and basic raster-layer composition. Detailed retouching, advanced masks, source-file recovery and vector workflows still require suitable editing tools. #### Can I upload an existing PSD and export all its layers as PNGs? This workflow accepts JPG/JPEG, PNG and WebP input, not existing PSD documents. It exports PNG layers or a layer ZIP generated from a completed Png2Psd separation task. Use a PSD-capable editor for an existing document. #### How do I fix merged shadows or highlights after AI layer separation? Inspect the actual output first: shading may be part of an object rather than its own layer. You can request a more specific separation in a new task, but independent shading is not guaranteed. Refine the masks or recreate the required shading in a suitable image editor, checking the full composition before export. ### AI Layer Separation for Live2D Art: Limits Source: https://www.png2psd.com/guides/live2d-layer-separation Language: en AI layer separation can help isolate a character from its background or props, but Png2Psd is not an automatic Live2D rigger. A Live2D-ready PSD usually needs specific facial parts, hair groups, clean hidden-area artwork and a carefully organized layer structure. Those requirements need manual art preparation and validation in Live2D Cubism. - Treat the result as a reference or starting point, not a ready-to-rig character - Eyes, eyelids, pupils, mouth shapes and overlapping hair may need separate hand-prepared parts - Hidden skin and hair regions need sufficient coverage for movement - Deformers, meshes, parameters, motion and rigging are created in Live2D, not exported by Png2Psd #### What an AI Live2D separator can help with For a flat character illustration, separating the character, background and accessories can speed up early preparation. This is object separation. It does not guarantee the part-level structure or clean artwork needed for facial expressions and animation. #### A preparation checklist before importing into Cubism Use an illustration you own or are licensed to edit. Review the layer hierarchy, remove redundant reference layers where appropriate, name intended parts, repair alpha edges, and paint covered areas. Test PSD import and intended movements in your Live2D version; format compatibility alone does not establish rig readiness. #### What to do when hair, limbs or clothing merge Start with a clear character image and describe a few visible groups, such as the character, hat and prop. Optional selection regions can guide the request, but they are not pixel-accurate masks and do not guarantee a head, arm or joint hierarchy. Inspect overlaps, missing pixels and alpha edges in each returned layer. Paint hidden artwork and separate movement-specific parts manually, then test the PSD in your animation editor. Png2Psd does not generate the rig, physics or animation frames. #### Steps 1. Choose authorized character artwork 2. Describe the broad character and accessory separation you need 3. Inspect the exported raster layers 4. Prepare facial parts and hidden artwork manually 5. Organize the PSD and validate it in Live2D Cubism before rigging #### Can an AI separator make a Live2D-ready PSD? Not automatically. Png2Psd separates visible raster content and exports PSD, but does not guarantee the facial parts, hidden-area painting, hierarchy or rigging needed for Live2D. #### Can I split a flat anime character for Live2D? You can attempt broad subject and object separation. Eyes, mouth parts, hair groups and other animation-specific elements usually need additional manual preparation. #### Does Png2Psd export Live2D meshes or motion? No. Deformers, meshes, parameters and motion are created separately in animation software. #### Is the character case a Live2D animation example? No. It demonstrates real AI separation of a character, background and other visual elements. It is not a rig, animation or guarantee of Cubism-ready artwork. #### How can I fix overlapping joints and missing pixels in AI-separated character layers? Inspect the source and each returned layer, especially hair, sleeves and joints. A clearer source and focused object request may help, but cannot reveal the true hidden artwork. Repair masks and paint the coverage required for movement manually, then validate the parts in your rigging application. #### Can I export character layers as SVG, a spritesheet or a finished VTuber model? Png2Psd exports raster PSD layers, individual PNG layers and a PNG layer ZIP from separation tasks. It does not generate SVG vectors, spritesheets, animation frames, meshes, physics or a finished VTuber rig. Prepare and validate those separately. ### WebP to PSD with AI Raster Layers Source: https://www.png2psd.com/tools/webp-to-psd Language: en Png2Psd accepts static WebP images and uses AI to create separate raster layers for a Photoshop PSD. Opening a WebP directly in an editor usually gives you one image; AI separation attempts to isolate visible objects. It cannot restore pixels lost to compression or recover an original design file. - Upload a static WebP up to 30 MB with at least 262,144 total pixels - Use only web graphics you own or are licensed to modify - Check lettering, thin lines, alpha edges and compression halos - Keep the downloaded source and compare it with every generated layer #### WebP banners and product graphics A flat marketing banner may combine a product, badge, price and background. Describe the elements you need separately. Small lettering remains raster content; recreate live text in your design editor when changing prices or wording. #### Transparency does not imply stored layers A WebP alpha channel describes transparency for the visible image, not a Photoshop layer stack. AI-generated edges can differ from that alpha channel. Use the highest-quality authorized original and inspect the result against light and dark backgrounds. #### When a simple format conversion is enough If you only need to open a WebP in Photoshop or save a one-layer PSD, an image editor may be sufficient. Use AI separation when independently editable visual elements are required. Animated WebP timelines are not supported by this workflow. #### Steps 1. Save the original static WebP and confirm you may edit it 2. Upload the image and name the objects to separate 3. Inspect the generated layers for detail changes and edge artifacts 4. Export the PSD or individual PNG layers and finish any cleanup #### Can I convert WebP to PSD with layers online? Yes. Upload a supported static WebP to infer separate raster layers and export PSD. An account and sufficient credits are required; the result is reconstruction rather than source-layer recovery. #### Will WebP to PSD remove compression artifacts? Not reliably. Separation may change or reconstruct pixels, but cannot recover information discarded during compression. Inspect small text, gradients and edge halos. #### Does a transparent WebP keep its exact alpha channel? Do not assume exact preservation. AI creates new layer masks that can differ from the input. Check fine and translucent edges before use. ### Photo to PSD: Separate Subjects into Layers Source: https://www.png2psd.com/tools/photo-to-psd Language: en Photo to PSD separation creates new raster layers for visible subjects, objects and backgrounds in a JPG, PNG or WebP photograph. Png2Psd can provide a starting point for composition edits; it does not recover a camera RAW file, original retouching layers or the exact scene behind an object. - Choose a sharp authorized original rather than a messaging-app screenshot - Name the person or product and any supporting objects in your prompt - Inspect hair, glass, reflections, soft shadows and overlapping objects - Compare faces, labels and product geometry with the original before publishing #### Product photography and composition changes Separating a product, plinth and decoration can make a new layout easier to assemble. The public product case shows actual output you can inspect. A base layer may still contain the product; moving it can reveal duplicates or unfinished areas that require retouching. #### Portraits and background replacement Subject separation can help prepare a portrait for a different background. Flyaway hair, transparent clothing, eyeglasses and out-of-focus edges are difficult cases. AI can alter facial details or invent hidden pixels, so review likeness and consent before using a person's image. #### Preserve your photographic source Keep the original photo and use a RAW editor for exposure, lens corrections or photographic color work. A layered PSD organizes the reconstructed raster result; it is not a guarantee of sharper detail, accurate color or higher resolution. #### A focused prompt for a product photo For a composition like the public sample, try: Separate the ceramic mug, orange, leaf and plinth; keep their original positions. Begin with the objects required for your next layout. Inspect the base/reference image as well as each isolated layer. The five-layer sample does not validate an independently separated shadow or unchanged label text; specify those needs and inspect the actual output before planning a production edit. #### Steps 1. Choose a clear photo in JPG, PNG or WebP 2. Describe the subject, background and props to separate 3. Review each layer and compare it with the source photo 4. Download the PSD and refine masks and reconstructed areas in an editor #### Can AI split a photograph into Photoshop layers? AI can infer visible regions and create independently editable raster layers. Results vary with the photo, especially at fine edges and occlusions. This does not recover original retouching layers. #### Can I replace a photo background without any cleanup? Cleanup may be necessary. The background can contain gaps, duplicated subjects or generated detail, and hair or translucent edges may need mask refinement. #### Can I upload RAW or HEIC photos directly? This workflow accepts JPG/JPEG, PNG and WebP. Export other formats to a supported still-image format first, keeping the original source and checking orientation and color. #### Can I separate a product and its shadow into editable layers? You can request separate product and shadow elements, but that request does not guarantee a clean independent shadow layer. Inspect the returned alpha, geometry and base image. The public product example demonstrates object separation rather than a verified shadow-separation benchmark. ### Figma Export to PSD: Rebuild Raster Layers Source: https://www.png2psd.com/tools/figma-to-psd Language: en To use Png2Psd with a Figma design, export an authorized frame as a PNG, JPG or WebP image, then separate that flat export into raster layers. Png2Psd does not import .fig files or connect to your Figma account. Figma components, editable fonts, constraints and Auto Layout are not preserved. - Keep the original Figma file as the source of truth - Export a frame at a useful scale with at least 262,144 total pixels - Describe broad visual groups such as the product, card and backdrop - Recreate live text and vector elements when the Photoshop workflow requires them #### An image-export workflow, not a Figma importer Export the frame or selection from Figma as a supported image before uploading. There is no direct .fig upload, Figma URL import or account synchronization. Layer separation works from the rendered pixels and creates a new raster composition. #### What happens to typography and components? A rendered frame no longer exposes font objects, component variants, layout constraints or vector paths. AI may isolate their visible appearance, but that does not recreate editable font text or a component tree. Use the original design file for implementation handoff and precise layout specifications. #### When this workflow is useful It can help prepare a flattened mockup or campaign visual for further raster composition when only its image export is available. Inspect small UI text, icon edges and hidden backgrounds. The product-photo case illustrates the separation mechanics; it is not a claimed Figma conversion benchmark. #### Steps 1. Export the authorized Figma frame as PNG or another supported image 2. Upload the export and describe the visual groups you need 3. Inspect the new raster layers, especially text and icons 4. Download PSD and recreate any live typography or vectors in your editor #### Can I upload a Figma .fig file or URL? No. Export a PNG, JPG or WebP from Figma first. Png2Psd accepts the flat image, not native Figma files or private links. #### Does Figma to PSD preserve Auto Layout and components? No. The output contains AI-generated raster layers. Auto Layout, components, constraints, fonts and vector paths are not transferred. #### Is this an official Figma integration? No. It is an independent workflow for processing an image you exported and are authorized to edit. It does not access your Figma account. ### Canva Export to Layered PSD with AI Source: https://www.png2psd.com/tools/canva-to-layered-psd Language: en Export a Canva design as PNG or JPG, then upload the flat image to Png2Psd to infer separate raster layers and export PSD. This workflow does not open Canva project links or transfer the original template. Live text, vector elements, animations and the design's editing history are not recovered. - Keep the original Canva design and its licensed assets - Use the highest-quality supported still-image export available to you - Describe the subject, decorative shapes and background you want separately - Check lettering and rebuild editable text for translations or price changes #### From an exported Canva image to a PSD Download a supported image from Canva before starting. PDF, SVG, presentation files, video and private Canva URLs cannot be uploaded to this separation tool. An image export may be useful for raster compositing, but the original design remains the better source when it is available. #### Editable raster layers are not an editable Canva template Separating a heading or badge isolates its visible pixels. It does not restore the original font object, template controls or vector geometry. For localization, rebuild typography with fonts you have permission to use and compare spacing with the original. #### Licensing still applies after conversion Converting a design does not grant rights to its photos, graphics, fonts or brand elements. Check the rights attached to the original design and assets, especially before redistributing extracted elements. AI-generated detail and masked edges also require visual review. #### Steps 1. Export an authorized Canva design as PNG or JPG 2. Upload the image and describe the visual elements to separate 3. Review masks, typography and background reconstruction 4. Download the layered PSD and finish the raster composition #### Can I convert a Canva design to a layered PSD? You can process its supported flat image export to create new raster layers. This does not transfer the original Canva template, fonts, vectors or editing controls. #### Will my Canva text remain editable text in Photoshop? No. Text in the image is raster content. You may need to retype and format it in Photoshop or another editor to change wording or fonts. #### Can I upload a Canva link or PDF directly? No. Export a JPG, PNG or WebP still image first. Png2Psd does not connect to Canva accounts or import project links or PDFs. ### AI Prompt Cutout: Extract an Object from an Image Source: https://www.png2psd.com/tools/prompt-cutout Language: en Prompt Cutout lets you upload an image, describe the part you want to keep and download the returned PNG. It is useful when you need one selected object rather than a complete PSD layer stack. Each successful extraction costs 10 credits; transparency depends on the returned result and must be checked. - Name a visible object, its color and its position in the image - Use a focused request such as: keep only the teal ceramic mug, including its handle - Compare the source and result for missing parts and altered detail - A successful extraction uses 10 credits; failed tasks do not consume credits #### Choose a single cutout or a complete layer stack Choose Prompt Cutout for one object or selected region. Choose layer separation when you need several editable objects and a PSD export. A cutout task returns a PNG image, not a layered PSD. #### Write a useful extraction prompt Describe the subject clearly, including distinguishing colors or its position when similar objects are present. State important parts to keep, such as a handle or attached accessory. Requests are limited to 500 characters and should describe content you are authorized to process. #### Verify transparency before using the PNG PNG is a file format, not a guarantee of a transparent background. If the provider returns an opaque image, the interface warns you. Check edges and the full object silhouette; AI may alter details, and the result can require cleanup. #### Keep one object versus erase an unwanted object A request such as keep only the orange asks Prompt Cutout to return that selected object as a PNG. It does not erase the orange from the source and fill the space behind it. If you need several foreground elements for recomposition, use layer separation and inspect the base image too. Removing a person, rebuilding a clean background or generating background variations requires a suitable retouching workflow beyond this cutout tool. #### Steps 1. Open Prompt Cutout and choose a supported image 2. Describe the object to keep 3. Run the extraction after signing in with sufficient credits 4. Compare the original and result, then download the PNG #### How do I extract a specific object using a prompt? Upload the image in Prompt Cutout and describe the visible object you want to keep. After processing, compare the result with the source and download the PNG. #### How many credits does a prompt cutout cost? Each successful extraction costs 10 credits, regardless of input resolution. Failed tasks do not consume credits. Available signup credits can be used after registration. #### Does every result have a transparent background? No. AI can return an image with an opaque background. The interface warns about this result; inspect the PNG and refine it if needed. #### Can Prompt Cutout remove a person and fill the background? No. Prompt Cutout extracts the visible object you describe and returns a PNG. It does not perform object erasing or generative background filling. Layer separation also needs inspection of the base; moving or hiding a layer does not guarantee the original subject disappears from that base. ### Layer Separation vs Background Removal: Which to Use? Source: https://www.png2psd.com/guides/layer-separation-vs-background-removal Language: en Use a cutout when you only need one subject to place on another background. Use layer separation when a product, props and background need independent edits in a layered PSD. Png2Psd provides Prompt Cutout for a selected object and Image to Layers for a raster layer stack. Neither workflow recovers the original design file or guarantees unchanged hidden pixels. - One product for a catalogue image: consider a single cutout and inspect its alpha channel - A product, orange, leaf and plinth that need separate positioning: choose layer separation - Only need the original flat picture inside a PSD: a normal image editor may be enough - Need editable font text, vector paths or a Live2D rig: preserve the source file or prepare those parts manually #### Start with the next edit you need to make Choose based on the editing task rather than the file extension. If you only need to place a mug on a new backdrop, extracting that mug may be sufficient. If the mug, leaf, orange and display plinth must be moved independently, ask for several layers. A PNG can contain transparency without storing any separate design layers; saving that same PNG as PSD does not automatically separate its objects. #### What each Png2Psd workflow returns Prompt Cutout returns one PNG for the object described in your request. It does not return a PSD stack or a matching clean background. Image to Layers produces inferred raster layers that can be inspected and exported as PSD or individual PNG layers. Both use AI, so fine lettering, product labels, edges and small details can change. An exported PSD contains raster elements, not recovered font or vector objects. #### A cutout is different from a reconstructed background Removing the background around a subject and reconstructing the scene behind that subject are different tasks. A transparent foreground alone does not reveal what was originally hidden. In a separated composition, the base image may still contain the foreground object. Moving it can reveal duplicated content, gaps or generated texture. Inspect the entire composition after moving a layer; neither a PSD extension nor a successful task proves that the hidden background is accurate. #### Write a prompt for one result or for several layers For one object, try: Keep only the teal ceramic mug, including its handle. For a layered composition, try: Separate the ceramic mug, orange, leaf and plinth into individual layers; preserve their positions. These are requests to guide processing, not guaranteed output specifications. Start with the few elements needed for your edit and review the actual result instead of assuming that every named detail becomes an independent layer. #### Compare the real sample before processing your own image The product example below has a self-owned original and five actual output layers. Inspect the isolated mug, orange, leaf and plinth, then compare the base/reference layer. The sample demonstrates object separation; it does not establish a separate clean shadow layer or flawless removal from the base. Public samples can be inspected and downloaded without an account. Processing your own image requires sign-in and sufficient credits. #### Check the output against your intended use Inspect the object on both light and dark backgrounds, check missing parts and halos, and compare labels and geometry with the original. If you plan to move objects, also inspect their old positions in the base layer. Prompt Cutout can return an opaque PNG, which the interface flags. Download and inspect your final composition before using it in a product listing, advertisement or animation preparation workflow. #### Compare credit use without assuming a fixed image allowance Prompt Cutout costs 10 credits for each successful extraction. Layer separation costs 2 credits per output layer up to 2,610,000 input pixels, or 4 credits per layer above that threshold. New accounts receive 50 signup credits once. Both workflows require sign-in; failed tasks do not consume generation credits. Use the pricing calculator for the current rules rather than treating one image as a fixed credit cost. #### Steps 1. Decide whether you need one object or several independently editable elements 2. Inspect the public source and sample layers 3. Open Prompt Cutout or Image to Layers and upload an authorized image 4. Describe the specific object or layer groups you need 5. Check transparency, details and the base before downloading the appropriate output #### Is AI layer separation the same as background removal? No. A cutout isolates a subject, while layer separation attempts to create several independently editable raster elements. Neither task automatically recovers the original layered design or the true scene behind an object. #### Which AI tool can separate objects into layers rather than just remove a background? Png2Psd's Image to Layers workflow can infer several raster elements and export a layered PSD. Its separate Prompt Cutout workflow returns a PNG for a selected object. Inspect the public sample and choose according to the edit you need; output quality depends on the input. #### Can I move a product without leaving a hole in its old position? The result needs inspection. A base layer can still contain the product, or generated background details can differ from the source. You may need to remove duplicates and repair covered areas manually before using the new composition. #### Does a transparent PNG give me multiple editable layers? No. A PNG alpha channel describes visible transparency, not a Photoshop layer stack. A single cutout can be placed on a layer in an editor, but independently editable objects require additional source assets or inferred separation. ### 图片转 PSD：生成可编辑图层 Source: https://www.png2psd.com/zh/tools/image-to-psd Language: zh Png2Psd 使用 AI 识别扁平图片中的主体与主要元素，生成独立的透明栅格图层，再导出 PSD。它不能恢复原设计文件的文字、矢量路径或调整图层，细节可能需要人工修整。 - 支持 JPG、JPEG、PNG、WebP，单张最大 30 MB - 预览、隐藏、排序和重命名生成的图层 - 导出分层 PSD 或独立 PNG 图层 - 生成后检查细节，再用于正式设计 #### 哪个 AI 工具可以把图片变成可编辑 PSD？ Png2Psd 可以根据 JPG、PNG 或 WebP 中的可见内容推断栅格图层，并导出可继续编辑的 PSD。需要分别调整可见物体时，可以考虑这一流程；如果只是把整张扁平图保存进 PSD，普通图像编辑器可能已经足够。这里的可编辑图层指独立栅格元素，不代表恢复了原字体文字、矢量路径或调整图层。 #### 无需 Photoshop 扩展，在浏览器完成处理 可在浏览器中上传和检查结果，再导出 PSD 或独立 PNG 图层。无需安装 Photoshop 或 Chrome 扩展；Png2Psd 也不提供 Photoshop 官方插件。注册前可以先检查公开 PSD 样例，处理自己的图片仍需要账号和足够积分。成功导出后也应进行视觉检查。 #### Steps 1. 上传符合格式和尺寸要求的图片 2. 描述需要分离的主体或物体 3. 检查结果，调整图层并导出 PSD #### 图片转 PSD 和另存为 PSD 有什么区别？ 另存为 PSD 通常只把扁平图片放进一个图层。AI 拆分会生成独立的栅格图层，但不能还原原始设计文件的所有结构。 #### 导出会增加水印吗？ Png2Psd 不在导出的 PSD 或 PNG 图层上添加品牌水印。 #### 能恢复可编辑文字吗？ 不能。生成的是栅格图层，图片里的文字不会自动变为可编辑的字体文字层。 #### 哪个 AI 工具可以把图片生成分层 PSD？ Png2Psd 可以从 JPG、PNG 或 WebP 中推断可见物体，生成独立栅格图层并导出 PSD。处理自己的图片前，可以先查看公开原图和样例 PSD。它重建内容，不会恢复原始设计图层或字体文字。 #### 不安装 Photoshop 或 Chrome 扩展，也能把图片转 PSD 吗？ 可以。Png2Psd 在浏览器运行，不要求安装这两者。登录并使用可用积分处理支持格式的图片，检查结果后下载 PSD；它不是 Photoshop 集成或浏览器扩展。 #### 用 AI 把图片转成分层 PSD，和单层 PSD 有什么区别？ 分层 PSD 包含可独立调整的栅格元素，单层 PSD 通常只封装一张扁平图片。AI 会重建像素，不保证与原图一致，也不能自动恢复可编辑字体文字或矢量。 ### PNG 转 PSD：拆分主体与透明图层 Source: https://www.png2psd.com/zh/tools/png-to-psd Language: zh PNG 可以包含透明通道，但不包含可恢复的 Photoshop 图层结构。Png2Psd 会根据可见内容生成图层；边缘、阴影与半透明区域可能与输入不同，导出前应检查。 - 保留原始 PNG 备份，尤其是已有透明通道的素材 - 用清晰的主体与背景获得更容易检查的拆分结果 - 在深色与浅色背景上分别检查边缘 - 仅需把 PNG 放入单层 PSD 时，可直接在图像编辑器中另存为 #### 把扁平 Logo 拆成栅格图层 导出为 PNG 的 Logo 可能已将文字、图标和背景合并成一张图。可以要求拆开较大的可见元素，再检查细轮廓和字形。有原始 SVG、Illustrator 或设计文件时应保留并优先使用：推断的 PSD 图层不会恢复矢量路径、字体文字或完全准确的品牌几何形状。需要这些内容时应使用原设计应用。 #### Steps 1. 选择 PNG 并确认总像素不少于 262,144 2. 说明希望拆出的物体，例如产品、阴影、背景 3. 检查图层边缘与透明度，导出 PSD #### 支持透明 PNG 吗？ 支持。AI 生成的蒙版可能与源文件透明通道不同，应检查发丝、阴影和半透明区域。 #### 会生成矢量图层吗？ 不会，导出的是可独立编辑的栅格图层。需要无损缩放的标志应优先使用原始 SVG 或矢量文件。 #### 可以把 PNG Logo 拆成独立可编辑图层吗？ 可以尝试把可见元素拆成栅格图层并导出 PSD，但需要对照原图检查细线和字形。结果不是 SVG 或矢量 Logo，也不会恢复字体文字；需要准确的品牌素材时应使用原始设计文件。 #### 用 AI 把图片转成分层 PSD，和单层 PSD 有什么区别？ 分层 PSD 包含可独立调整的栅格元素，单层 PSD 通常只封装一张扁平图片。AI 会重建像素，不保证与原图一致，也不能自动恢复可编辑字体文字或矢量。 ### JPG 转 PSD：AI 拆分扁平图片 Source: https://www.png2psd.com/zh/tools/jpg-to-psd Language: zh JPG 不存储图层或透明通道。Png2Psd 使用 AI 推断可见元素并生成独立栅格图层，因此结果是重建而不是恢复历史图层。复杂遮挡和压缩噪点需要人工检查。 - 优先使用最早导出的高质量 JPG，避免反复压缩 - 无需安装 Photoshop 即可上传、拆分和预览 - 对遮挡物体、细小文字和复杂边缘进行人工复核 - PSD 生成成功后按实际输出图层数扣积分 #### AI 生成分层 PSD 与单层格式转换 普通格式转换可以把整张 JPG 放入一个 PSD 图层，但不会识别其中的物体。AI 分层则尝试将可见元素拆成新的栅格图层堆栈。可以先查看产品案例中的独立物体，再检查自己的 JPG 输出中的压缩痕迹和小字。两种方式都不能找回已经丢失的源 PSD。 #### Steps 1. 上传 JPG 或 JPEG 原图 2. 描述希望拆分的主体和背景 3. 检查边缘与遮挡区域，下载 PSD #### 转为 PSD 会提升图片质量吗？ 不能保证。AI 可能重建像素并改变细节，PSD 图层结构不等于更高画质，也不保证精确恢复原稿。 #### 什么时候扣积分？ PSD 生成成功后自动扣积分，不是在手动下载时扣费；失败任务不扣积分。 #### 有没有无需 Photoshop 扩展的在线 JPG 转 AI 分层 PSD 流程？ 有。Png2Psd 在浏览器接收 JPG 或 JPEG，并可以把推断的栅格图层导出为 PSD，无需 Photoshop 扩展。它不能恢复字体文字、原始矢量或准确的隐藏背景。 #### 用 AI 把图片转成分层 PSD，和单层 PSD 有什么区别？ 分层 PSD 包含可独立调整的栅格元素，单层 PSD 通常只封装一张扁平图片。AI 会重建像素，不保证与原图一致，也不能自动恢复可编辑字体文字或矢量。 ### 如何把扁平图片转换为可编辑 PSD 图层 Source: https://www.png2psd.com/zh/guides/how-to-edit-psd-layers Language: zh 先保留清晰原图，描述希望分离的主体、背景和物体，检查生成图层的边缘与遮挡区域，再导出 PSD 做精细修整。如果有原始设计文件，优先使用原文件。 - 总像素至少 262,144，例如 512 × 512；不是每条边都必须 512 像素 - 提示词示例：把产品、阴影和背景分开，保留原有构图 - 在 100% 缩放下检查边缘，在完整构图下检查位移与比例 - 栅格文字不会自动变为字体文字层；必要时重新排版 #### 导出前检查光晕、头发和细小物体 在 100% 缩放下逐层检查，并分别放在浅色和深色背景上观察。对照原图检查头发、细把手、小物体和标签文字，再查看完整构图，移动目标物体以发现底图重复或空缺。浏览器编辑器用于位置、缩放、旋转、不透明度和图层顺序；精确蒙版绘制与接缝修补请使用合适的栅格编辑器。更明确的提示词可以引导新任务，但不保证边缘像素与原图完全相同。 #### Steps 1. 准备清晰原图并保留备份 2. 上传图片，填写主体和背景的拆分要求 3. 可选框选重点区域，再提交任务 4. 结果完成后检查图层，调整显隐与顺序 5. 导出 PSD，在 Photoshop 中修整边缘与细节 #### 什么样的图比较适合拆分？ 主体与背景对比清楚、细节足够、模糊较少的图片更容易检查与修整，但不能保证每张图都能成功拆分。 #### 如何避免误把分层当成源文件恢复？ 把结果视为编辑起点。检查图层名称、边缘、遮挡内容和文字；原来的字体、矢量形状、蒙版与调整图层不会被完整恢复。 #### 是否能替代 Photoshop？ Png2Psd 用于自动拆分和基础图层编辑，复杂修图与精细排版仍可在 Photoshop 中完成。 #### AI 分层后出现光晕、头发缺失，如何修整？ 把图层分别放在浅色和深色背景上与原图对照，再检查完整构图的接缝和缺失像素。必要时尝试更清晰的原图或更明确的物体描述。精确边缘蒙版应在合适的栅格编辑器中修整；Png2Psd 浏览器编辑器提供构图控制，不提供专门的蒙版精修画笔。 ### 图片转图层：在线 AI 图片分层 Source: https://www.png2psd.com/zh/tools/image-to-layers Language: zh 图片转图层是根据一张扁平图片的可见内容，重建可独立编辑的栅格图层。Png2Psd 支持 JPG、PNG、WebP，使用 AI 识别并分离元素，再导出 PSD。它生成的是新图层，不是恢复隐藏的原始 Photoshop 文件。 - 按下一次排版需要拆开可见物体，而不只是更换文件扩展名 - 单张不超过 30 MB，总像素至少 262,144 - 可在提示词中说明需要分开的主体、背景和其他物体 - 检查边缘、遮挡与重建像素，结果可能与原图不同 #### 分层、格式转换与去背景有什么区别？ 把 PNG 后缀改成 .psd，或在编辑器里另存为 PSD，通常仍只有一个合并图层。去背景主要得到主体抠图；需要同时编辑多个物体时，才适合使用图片分层。 #### 从图片文件到图层编辑 完成拆分后，可在结果页检查显隐，在浏览器编辑器中重命名、调整顺序、位置、尺寸、旋转和透明度。这些操作针对栅格内容，不会还原矢量路径或原始字体文字。 #### 把图片素材拆成独立 PNG，一次下载 ZIP 需要复用同一张 JPG、PNG 或 WebP 中的多个物体时，先运行图片分层并逐层检查，再从结果页下载 PNG 图层 ZIP。也可以单独下载某个图层，或导出保存图层堆栈的 PSD。ZIP 打包的是本次已完成任务中的可见图层，不是多张原图的批量转换。用于新设计前，应与原图对照边缘和细节。 #### 什么时候选 AI 分层，什么时候手工切图 扁平构图中有多个可见物体时，AI 分层可以提供可继续编辑的起点。精确轮廓、细小文字或动画特定部件更适合手工切图。先描述少量明确物体，检查返回的栅格图层，再用合适的图像编辑器修整蒙版。渐变、阴影和重叠物体不一定会各自成为独立图层。 #### Steps 1. 登录账号并上传图片 2. 描述希望分开的主体与物体 3. 检查每个返回图层及其位置 4. 在线编辑或导出 PSD、PNG 图层 #### 怎样在线把图片转换成图层？ 上传符合要求的图片，描述需要分开的元素，执行拆分并检查结果，再导出 PSD。执行任务需要登录且有足够积分。 #### 图片分层能找回原始设计图层吗？ 不能。扁平 JPG 或 PNG 不包含原始图层结构，AI 会推断可见物体并重建像素，无法还原原来的字体、矢量、蒙版和调整图层。 #### image to layer 和 image to layers 有什么区别？ 这两个搜索表达通常都指把合并图片拆成可独立编辑的元素。如果只需要一个透明主体，去背景可能已经足够；多个元素独立编辑则需要分层。 #### 图片文件能逐个图层编辑吗？ 拆分后可以在浏览器或兼容 PSD 的编辑器中编辑新栅格图层。正式使用前，应检查生成的边缘与重建区域。 #### 应该选择图片分层工具还是去背景工具？ 只需要一个主体时考虑抠图；需要独立移动、隐藏多个可见元素并导出 PSD 时选择图片分层。两种流程都需要检查边缘与遮挡区域；只有透明主体并不会自动得到重建好的干净背景。 #### 能把照片中的素材提取为 PNG 并打包下载 ZIP 吗？ 可以。分层任务完成后，在结果页下载 PNG 图层 ZIP，也可以单独下载生成的某一图层。支持上传 JPG/JPEG、PNG 或 WebP，处理需要登录和可用积分。ZIP 打包的是一次任务的可见返回图层，不包含已隐藏的图层，也不是多张照片的批量转换。 #### AI 图片分层与手工切图有什么区别？ AI 尝试推断独立栅格元素，可以减少初始拆分工作；手工切图让你直接控制选中的像素。精确蒙版、小字、渐变和遮挡区域仍可能需要手工修整，两种方式都不能从扁平文件找回原始图层。 ### 免费 AI 图片分层：试用积分与登录要求 Source: https://www.png2psd.com/zh/tools/free-image-layer-separation Language: zh Png2Psd 通过注册赠送积分提供有限免费试用，不是无限免费拆图。公开案例无需登录即可浏览，但处理自己的图片需要账号和足够积分。PSD 生成成功后，按实际输出图层数与输入分辨率扣积分。 - 每个新账号赠送一次 50 积分，注册无需信用卡 - 输入不超过 2,610,000 像素时每层 2 积分；超过时每层 4 积分 - 失败任务不消耗生成积分 - 购买积分是一次性套餐，有效期 6 个月；注册赠送积分不过期 #### 不用登录的 AI 拆图工具，本站支持吗？ 不用登录可以查看公开案例、切换演示图层和下载自制样例。上传自己的图片并运行拆分任务需要登录。公开演示不等于匿名处理服务。 #### 在线免费具体包括什么？ 免费额度按积分计算，不承诺固定图片张数。输出图层越多，积分消耗越多；可先查看价格计算器。积分用完后需要购买，或在符合任务要求时选择消耗较低的处理方式。 #### Steps 1. 先免登录查看公开案例 2. 创建账号领取注册积分 3. 检查图片分辨率与预计积分消耗 4. 执行拆分，检查成功结果后导出 #### 在线图片分层真的免费吗？ 可以使用注册赠送积分有限试用，并非无限免费处理。实际可处理图片数量取决于分辨率和输出图层数。 #### Png2Psd 可以不用注册直接拆图吗？ 公开案例免登录浏览；处理自己的图片需要账号和足够积分。 #### 可以免费把 GPT 图片拆成图层吗？ 登录后可用可用的注册积分试处理符合要求的 AI 生成图。免费试用不代表无限图片、所有物体都能分开，或像素完全一致。 #### 下载 PSD 的时候才扣积分吗？ 不是。PSD 生成成功后即扣积分，即使尚未下载；失败任务不消耗生成积分。 #### 注册前可以先检查一个真实分层 PSD 吗？ 可以。公开案例提供自有原图、实际输出图层和样例 PSD 下载，无需登录。它们用于评估流程，不保证你的图片获得同样效果；处理自己的图片仍需要账号与足够积分。 ### 如何拆分扁平图片的图层 Source: https://www.png2psd.com/zh/guides/separate-layers-flat-image Language: zh 拆分扁平图片时，应保留原图，确定要编辑的元素，使用 AI 生成新的栅格图层，再逐层检查并导出 PSD。扁平图片只有合并像素，因此不能精确恢复原设计文件的结构。 - 如果有原始 PSD、SVG 或设计文件，优先使用原文件 - 聚焦下一次编辑真正需要的主体与物体 - 重叠物体后面的不可见区域可能需要重建 - 在浅色、深色背景上检查透明边缘和色晕 #### 扁平图片通常能拆出哪些内容？ 边界清晰的产品、人物、背景或装饰通常更容易检查；小字、透明玻璃和严重遮挡的物体需要更多修整。AI 结果随图片变化，返回图层不证明被遮挡像素已被准确恢复。 #### 为什么不能真正撤销已经合并的图层？ 扁平导出时，原有字体、矢量路径、调整图层和设计师蒙版已经丢失。必要时需要重新排版文字或制作蒙版。移动抠出的物体可能暴露底图中的重复内容或空缺，需要人工修图。 #### Steps 1. 备份画质最高的原图 2. 列出需要分离的主体、背景和物体 3. 上传并填写明确的拆分要求 4. 在 100% 缩放和完整构图下逐层检查 5. 导出 PSD，修整边缘、蒙版或空缺 #### 如何把扁平图片拆成多个图层？ 让 AI 从可见内容中推断元素并生成新的透明栅格图层，检查位置与边缘后导出 PSD。无法恢复原始设计图层的完整结构。 #### JPEG 能分离成独立图层吗？ JPEG 本身没有图层或透明通道。AI 可以推断物体并重建栅格图层，但压缩噪点和遮挡区域需要特别检查。 #### 图片保存为 JPG 后还能取消图层合并吗？ 只有合并 JPG 或 PNG 时，原图层历史已不存在。所谓反合并或 AI 分层是重建内容，不是撤销原来的导出。 #### 结果会和原图完全一样吗？ 不能保证。AI 可能改变细节、形状、阴影或文字；应同时保留原图，进行前后对照和必要修整。 ### 把 AI 与 GPT 生成图片拆成可编辑图层 Source: https://www.png2psd.com/zh/guides/separate-ai-generated-image-layers Language: zh GPT 或其他图像模型导出的 PNG、JPG、WebP 仍然是扁平栅格图片。Png2Psd 可以尝试拆分其可见主体、背景和物体，生成新图层；它不会访问另一模型的生成历史，也不能还原原始可编辑设计组件。 - 使用下载的原图，尽量避免压缩截图 - 确认有权使用图片及其中的元素 - 描述几个清楚的物体，不承诺分开所有细小细节 - 重点检查人脸、手指、小字和遮挡区域，重建可能改变它们 #### GPT 图片并不是分层设计文件 原提示词和导出的图片中没有可恢复的 Photoshop 文档。拆分只分析已导出的像素，不会读取模型内部图层或隐藏编辑信息。 #### 怎样让 AI 插画更方便后续编辑？ 选择轮廓分明、对比清楚且分辨率足够的原图，优先分离主体、背景和关键道具。文字较多的海报可把拆分文字当作栅格参考；若要改文案或字体，应重新创建字体文字。 #### Steps 1. 下载 AI 生成原图 2. 上传并描述希望拆出的元素 3. 用可用积分执行拆分 4. 把返回图层与原图进行对照 5. 导出分层 PSD 并修正必要细节 #### 可以在线拆分 GPT 图片图层吗？ 可以使用符合格式要求的 GPT 导出图片作为扁平输入。任务生成新推断的栅格图层，不恢复模型内部结构或原 Photoshop 图层。 #### 可以免费在线拆分 AI 生成图吗？ 登录后，可用可用的注册积分有限试用。运行任务需要账号和足够积分，并非无限免费处理。 #### AI 图片转 PSD 后能得到可编辑文字吗？ 可导出 PSD 栅格图层，但原图文字不会自动变成可编辑字体文字；必要时应重新排版。 #### 只支持 GPT 图片吗？ 不是。关键是输入格式与可见构图，而非生成它的模型。支持 JPG、PNG、WebP，这个流程不会接入或访问其他图片生成服务。 #### AI 转 PSD 是指转换 Adobe Illustrator 的 .ai 文件吗？ 本流程不是。这里的 AI 指导出为 JPG、PNG 或 WebP 的 AI 生成图片，不接收 Illustrator 原生 .ai 文件，也不迁移其中的矢量路径或字体文字。需要保留原生矢量结构时，应使用原设计应用。 ### 在线逐层编辑图片文件 Source: https://www.png2psd.com/zh/guides/edit-image-layers Language: zh 逐层编辑图片文件前，需要先从扁平原图生成独立栅格图层。在 Png2Psd 浏览器编辑器中，可选择图层、调整显隐与顺序、重命名，并修改位置、尺寸、旋转和透明度，完成构图后导出 PSD。 - 隐藏某个返回图层，不等于自动擦除原图中的对应物体 - 调整构图前保留原图备份 - PSD 导出保留当前栅格构图，不还原原字体文字或矢量 - 精细蒙版、调色与复杂修图应使用合适的图像编辑软件 #### 为什么 JPG、PNG 不能直接作为原设计图层编辑？ 扁平文件中的像素已经合并，分层前，编辑器看到的是一张图片。AI 创建可独立调整的新元素，但边缘和被遮挡区域可能需要修正。 #### 编辑时保留完整构图的参考 逐层检查时也应对照完整画面。移动物体可能暴露底图中原来的位置，需要检查阴影与背景，再清理残留像素或填补缺失区域。 #### 选择 PSD 图层堆栈，还是独立 PNG 素材 需要在兼容编辑器中继续编辑栅格堆栈时选择 PSD。需要复用已完成分层任务中的独立元素时，可在结果页下载单张 PNG 或 PNG 图层 ZIP。这些下载不包含精灵图集、动画帧序列或 SVG 路径。本流程从支持的扁平图片开始，不是任意 PSD 文档的上传编辑工具。 #### Steps 1. 从原图生成图层 2. 从任务结果打开浏览器编辑器 3. 逐个选择图层并调整属性 4. 检查顺序、显隐和位置对齐 5. 导出 PSD 继续编辑 #### 怎么逐个图层编辑图片文件？ 先把可见元素拆成新的栅格图层，再选择图层调整属性。扁平 JPG、PNG 无法提供原始设计文件的图层结构。 #### 可以只移动一个物体吗？ 可以独立移动返回的图层。但应检查旧位置和遮挡区域，底图可能仍有重复内容，或者需要填补。 #### 能在线重命名和调整图层顺序吗？ 可以在浏览器编辑器中重命名图层、调整堆叠顺序，之后检查导出的完整构图。 #### 图片图层编辑器能替代 Photoshop 吗？ 它支持拆分和基础栅格构图，精细修图、高级蒙版、源文件恢复及矢量工作流仍需要相应工具。 #### 可以上传已有 PSD 并把其中所有图层导出为 PNG 吗？ 本流程接收 JPG/JPEG、PNG 和 WebP，不接收已有 PSD 文档。它可以导出 Png2Psd 已完成分层任务生成的 PNG 图层或图层 ZIP。处理已有文档请使用支持 PSD 的编辑器。 #### AI 分层后阴影或高光合并在一起，应该如何处理？ 先检查实际输出，明暗内容可能属于物体图层而没有独立拆开。可以在新任务中提出更明确的要求，但不能保证阴影或高光独立。应在合适的图像编辑器中修整蒙版或重建所需明暗，导出前检查完整构图。 ### Live2D 素材的 AI 分层准备与限制 Source: https://www.png2psd.com/zh/guides/live2d-layer-separation Language: zh AI 分层可帮助分离人物、背景或道具，但 Png2Psd 不是自动 Live2D 绑定工具。可用于 Live2D 的 PSD 通常需要特定五官部件、头发分组、完整遮挡绘制和合理图层结构，这些仍需人工准备并在 Live2D Cubism 中验证。 - 将结果作为准备参考或起点，不是已经可以绑定的角色 - 眼睛、眼皮、瞳孔、嘴型与重叠头发通常需要手工细分 - 隐藏的皮肤和头发区域需要补绘，为运动留出覆盖空间 - 变形器、网格、参数、动作和绑定不是 Png2Psd 的导出内容 #### AI Live2D 拆分能帮助哪一步？ 对于扁平角色图，把人物、背景和配件分开可辅助早期准备。这属于物体层面的拆分，不保证得到制作表情和动画需要的精细部件或干净绘制内容。 #### 导入 Cubism 前的准备清单 使用自己拥有或获授权编辑的插画。检查图层结构，按需要移除冗余参考底图，为目标部件命名，修整透明边缘并补绘遮挡区域。应在使用的 Live2D 版本中验证 PSD 导入与预期动作；仅能导入文件并不代表已满足绑定要求。 #### 头发、四肢或衣服合并时如何处理 先选择清晰角色图片，描述少量可见分组，例如角色、帽子和道具。可选框选区域可以引导请求，但它不是逐像素蒙版，也不能保证生成头部、手臂或关节层级。逐层检查遮挡、缺失像素与透明边缘，手工补画隐藏区域并拆出运动所需部件，再在动画编辑器里验证 PSD。Png2Psd 不会生成绑定、物理或动画帧。 #### Steps 1. 选择获授权的角色插画 2. 说明需要拆开的角色和配件 3. 检查导出的栅格图层 4. 人工准备五官部件与遮挡绘制 5. 整理 PSD，在 Cubism 中验证后再绑定 #### AI 拆图能直接生成 Live2D 可绑定 PSD 吗？ 不能自动保证。Png2Psd 拆分可见栅格内容并导出 PSD，但不保证五官细分、遮挡补绘、图层结构或 Live2D 绑定要求。 #### 可以把扁平动漫人物拆层用于 Live2D 吗？ 可以尝试主体和物体层面的拆分；眼睛、嘴部、头发组等动画专用部件一般仍需人工准备。 #### Png2Psd 能导出 Live2D 网格或动作吗？ 不能。变形器、网格、参数与动作需要在动画软件中单独制作。 #### 角色案例是不是 Live2D 动画案例？ 不是。它展示人物、背景与其他可见元素的真实 AI 分层，不是绑定文件、动画或 Cubism 可用性保证。 #### AI 角色分层在关节处重叠、缺像素，该怎么修整？ 对照原图逐层检查，尤其注意头发、袖口和关节。更清晰的原图和明确的物体描述可能有帮助，但无法还原真实隐藏画面。需要手工修整蒙版、补画运动所需覆盖区域，再到绑定软件中验证部件。 #### 能把角色图层导出为 SVG、精灵图集或完整 VTuber 模型吗？ 分层任务可以导出栅格 PSD、独立 PNG 图层和 PNG 图层 ZIP，不会生成 SVG 矢量、精灵图集、动画帧、网格、物理或完整 VTuber 绑定。这些内容需要另外制作和验证。 ### WebP 转 PSD：AI 拆分透明栅格图层 Source: https://www.png2psd.com/zh/tools/webp-to-psd Language: zh Png2Psd 支持上传静态 WebP，使用 AI 生成独立栅格图层并导出 Photoshop PSD。直接在编辑器中打开 WebP 通常只得到一张图片；AI 分层会尝试分离可见物体，但不能恢复压缩时丢失的像素或原始设计文件。 - 支持不超过 30 MB、总像素不少于 262,144 的静态 WebP - 仅处理自有或已获许可修改的网站素材 - 重点检查细字、线条、透明边缘与压缩光晕 - 保留原图，逐层对照生成结果 #### 拆分网页横幅与产品素材 一张营销横幅可能把产品、徽章、价格和背景合并在一起。提示词应说明希望分开的元素。小字拆出后仍是栅格内容，修改价格或文案时应在设计编辑器中重新创建字体文字。 #### 有透明通道不等于保存了图层 WebP 的透明通道只描述当前画面的透明区域，并不是 Photoshop 图层堆栈。AI 生成的边缘可能与原透明通道不同。优先使用有权编辑的高质量原图，并在深浅两种背景上检查结果。 #### 什么时候只需普通格式转换 如果只是需要在 Photoshop 打开 WebP 或保存一个单层 PSD，图像编辑器可能已经足够。需要独立调整视觉元素时再使用 AI 分层。本流程不支持动画 WebP 的时间线转换。 #### Steps 1. 保留静态 WebP 原图并确认编辑权限 2. 上传图片，描述希望拆出的物体 3. 检查图层细节、边缘与压缩痕迹 4. 导出 PSD 或独立 PNG 图层，完成必要修整 #### 可以在线把 WebP 转为分层 PSD 吗？ 可以。上传符合要求的静态 WebP 后，AI 会推断并生成独立栅格图层，再导出 PSD。执行任务需要登录和足够积分，这属于重建而不是恢复原始图层。 #### WebP 转 PSD 会消除压缩痕迹吗？ 不能保证。AI 可能改变或重建像素，但不能恢复压缩时已经丢失的信息。需要检查细小文字、渐变与边缘光晕。 #### 透明 WebP 的透明通道会完全保留吗？ 不能默认完全保留。AI 会生成新的图层蒙版，可能与输入不同。请检查发丝、半透明材质等精细边缘。 ### 照片转 PSD：拆分主体、背景与物体图层 Source: https://www.png2psd.com/zh/tools/photo-to-psd Language: zh 照片转 PSD 分层是从 JPG、PNG 或 WebP 照片中推断主体、物体与背景，并生成新的栅格图层。Png2Psd 可以作为构图编辑的起点，但不能恢复相机 RAW、原修图图层或被物体遮住的真实场景。 - 优先使用清晰且有权编辑的原始照片，避免聊天软件压缩截图 - 在提示词中明确人物、产品及需要分开的道具 - 检查发丝、玻璃、反光、柔和阴影和重叠物体 - 发布前对照原图检查面部、标签与产品几何形状 #### 产品摄影与构图调整 把产品、台座与装饰分开后，可以尝试重新组合画面。公开产品案例提供了可逐层查看的真实输出。底图可能仍含产品，移动上层物体后会出现重复或未完成区域，需要人工修整。 #### 人像与背景替换 主体拆分可以为更换人像背景提供起点。碎发、透明衣物、眼镜和失焦边缘较难处理。AI 可能改变面部细节或生成遮挡内容，使用人物图片前应检查相似度并确认所需授权。 #### 保留摄影源文件 请保留原照片；曝光、镜头校正和摄影色彩处理仍应在合适的 RAW 或图像编辑器中完成。分层 PSD 用于组织重建后的栅格内容，不代表更清晰、更高分辨率或完全准确的色彩。 #### 产品照片的具体分层提示词 对于公开样例这样的构图，可以尝试：分开陶瓷杯、橙子、叶子和台座，并保持原位置。先处理下一次排版真正需要的物体，同时检查底图或参考图层与各独立图层。五图层样例没有验证独立干净阴影或完全不变的标签文字；需要这些内容时应明确要求，并按实际输出判断能否用于生产编辑。 #### Steps 1. 选择清晰的 JPG、PNG 或 WebP 照片 2. 描述需要分开的主体、背景和道具 3. 逐层检查并与原照片对照 4. 下载 PSD，在编辑器中修整蒙版与重建区域 #### AI 能把照片拆成 Photoshop 图层吗？ AI 可以推断可见区域并生成可独立编辑的栅格图层。效果取决于原图，精细边缘和遮挡区域尤其需要检查；这不能恢复原来的修图图层。 #### 拆分后换背景完全不用修图吗？ 可能仍需修整。背景可能有空洞、重复主体或生成细节，发丝和半透明边缘也可能需要调整蒙版。 #### 可以直接上传 RAW 或 HEIC 照片吗？ 本流程支持 JPG/JPEG、PNG 和 WebP。其他格式请先导出为支持的静态图片，保留原始文件并检查方向与色彩。 #### 可以把产品和阴影分别拆成可编辑图层吗？ 可以提出产品与阴影分开的要求，但不能保证得到干净的独立阴影图层。应检查返回的透明度、几何形状和底图。公开产品案例验证的是物体分层，不是已经验证的独立阴影分离效果。 ### Figma 导出图转 PSD：重建可编辑栅格图层 Source: https://www.png2psd.com/zh/tools/figma-to-psd Language: zh 使用 Png2Psd 处理 Figma 设计时，需先将有权编辑的画框导出为 PNG、JPG 或 WebP，再对扁平图片进行 AI 分层。Png2Psd 不导入 .fig 文件，也不连接 Figma 账号；组件、可编辑字体文字、约束和自动布局不会被保留。 - 保留原始 Figma 文件，以原文件作为设计依据 - 以合适倍率导出画框，总像素不少于 262,144 - 描述产品、卡片、背景等需要分开的视觉组合 - 如果后续需要字体文字或矢量，应在设计编辑器中重新创建 #### 处理导出图片，不是导入 Figma 工程 请先从 Figma 将画框或选区导出为支持的图片格式。本工具不支持直接上传 .fig、导入 Figma 链接或同步账号。AI 分层处理的是渲染后的像素，生成的是新的栅格构图。 #### 字体与组件会怎样变化 画框导出为图片后，不再包含字体对象、组件变体、布局约束或矢量路径。AI 可以尝试分离它们的可见外观，但不会重建文字层或组件树。开发交付与精确标注应继续以原始设计文件为准。 #### 什么情况适合使用 只有扁平样机或营销图时，可将分层结果作为进一步栅格合成的起点。需要检查小号 UI 文字、图标边缘和隐藏背景。站内产品摄影案例用于说明分层机制，不代表已经验证过的 Figma 转换案例。 #### Steps 1. 把有权编辑的 Figma 画框导出为 PNG 等支持格式 2. 上传导出图片，描述需要分开的视觉组合 3. 检查新的栅格图层，重点查看文字与图标 4. 下载 PSD，按需要重建字体文字与矢量内容 #### 可以直接上传 Figma 的 .fig 文件或链接吗？ 不可以。请先从 Figma 导出 PNG、JPG 或 WebP。Png2Psd 接收扁平图片，不读取原生 Figma 文件或私有链接。 #### Figma 转 PSD 会保留自动布局和组件吗？ 不会。输出是 AI 生成的栅格图层，不转移自动布局、组件、约束、字体或矢量路径。 #### 这是 Figma 官方集成吗？ 不是。这是处理已导出且有权编辑图片的独立流程，不访问你的 Figma 账号。 ### Canva 导出图转分层 PSD：AI 拆分与编辑 Source: https://www.png2psd.com/zh/tools/canva-to-layered-psd Language: zh 先将 Canva 设计导出为 PNG 或 JPG，再上传 Png2Psd，推断独立栅格图层并导出 PSD。本流程不打开 Canva 项目链接，也不转移原始模板；可编辑字体文字、矢量元素、动画和设计历史不会被恢复。 - 保留原始 Canva 设计及素材许可信息 - 选择自己能够获得的高质量静态图片导出 - 明确希望分开的主体、装饰形状与背景 - 检查文字；翻译或修改价格时应重建可编辑文字层 #### 从 Canva 导出图开始 先在 Canva 下载支持格式的图片。PDF、SVG、演示文件、视频和私有 Canva 链接不能直接上传到本工具。导出图片适合继续做栅格合成，但如果原始设计可用，应优先使用原设计。 #### 独立栅格图层不是 Canva 可编辑模板 分离标题或徽章得到的是外观像素，不会恢复原字体对象、模板控件或矢量几何。进行本地化时，应使用有权使用的字体重新排版，并与原图对照间距。 #### 转换后仍需遵守素材许可 转换不会授予照片、图形、字体或品牌元素的新权利。请检查原设计与素材的授权条件，尤其是在单独分发提取元素之前。AI 生成的细节与透明边缘也需要人工检查。 #### Steps 1. 将有权编辑的 Canva 设计导出为 PNG 或 JPG 2. 上传图片，描述需要分开的视觉元素 3. 检查蒙版、文字和背景重建结果 4. 下载分层 PSD，继续完成栅格构图 #### Canva 设计可以转成分层 PSD 吗？ 可以对支持格式的扁平导出图进行处理，生成新的栅格图层，但不会转移原始 Canva 模板、字体、矢量或编辑控件。 #### Canva 的文字转到 Photoshop 后能直接改字吗？ 不能自动变成字体文字层。图片中的文字仍是栅格内容，改变文案或字体时可能需要在 Photoshop 等编辑器中重新输入和排版。 #### 可以直接上传 Canva 链接或 PDF 吗？ 不可以。请先导出 JPG、PNG 或 WebP 静态图片。本工具不连接 Canva 账号，也不导入项目链接或 PDF。 ### AI 提示词抠图：描述并提取图片中的指定物体 Source: https://www.png2psd.com/zh/tools/prompt-cutout Language: zh 提示词抠图支持上传图片、描述希望保留的部分，再下载返回的 PNG。它适合只提取一个物体，而不是生成完整 PSD 图层堆栈。每次成功提取消耗 10 积分；是否透明取决于实际返回结果，需要检查。 - 说明可见物体的名称、颜色和位置 - 提示词示例：只保留青绿色陶瓷杯，包括杯把 - 对照原图检查是否缺少部件或改变细节 - 每次成功提取消耗 10 积分，失败任务不扣积分 #### 选择单个抠图还是完整分层 只需要一个物体或指定区域时使用提示词抠图；需要多个可编辑元素与 PSD 导出时选择图片分层。抠图任务返回 PNG 图片，不会返回分层 PSD。 #### 怎样写清楚提取要求 准确描述主体；画面里有相似物体时补充颜色或位置。说明需要保留的部件，例如杯把或附带配饰。提示词最多 500 字符，并应只处理有权使用的内容。 #### 下载前检查透明背景 PNG 是一种文件格式，不等于一定有透明背景。如果服务返回不透明图片，界面会明确提醒。请检查边缘与完整轮廓；AI 可能改变细节，结果仍可能需要修整。 #### 保留一个物体，与擦除一个物体是不同任务 “只保留橙子”这样的请求，会让提示词抠图尝试返回该物体的 PNG；它不会从原图中擦掉橙子并补全后面的画面。需要多个前景元素重新排版时，选择图片分层，同时检查底图。移除路人、重建干净背景或生成多种背景，需要使用相应的修图流程，超出了本抠图工具的能力。 #### Steps 1. 打开提示词抠图并选择支持格式的图片 2. 输入希望保留的物体描述 3. 登录并确认积分充足后执行提取 4. 对照原图与结果，检查后下载 PNG #### 如何用提示词提取指定物体？ 在提示词抠图中上传图片，描述希望保留的可见物体。处理后对照原图检查结果，再下载 PNG。 #### 提示词抠图一次消耗多少积分？ 每次成功提取消耗 10 积分，与输入分辨率无关。失败任务不扣积分，注册后可使用可用的赠送积分体验。 #### 每次抠图都会得到透明背景吗？ 不能保证。AI 可能返回带不透明背景的图片，界面会对此提醒。请检查 PNG，必要时继续修整。 #### 提示词抠图能移除路人并自动填充背景吗？ 不能。提示词抠图提取你描述的可见物体并返回 PNG，不执行物体擦除或生成式背景填充。图片分层也需要检查底图，移动或隐藏一个图层并不保证底图中的原主体随之消失。 ### 图片分层与去背景有什么区别，应该选哪个？ Source: https://www.png2psd.com/zh/guides/layer-separation-vs-background-removal Language: zh 只需要把一个主体放到新背景时，可以选择抠图；产品、道具与背景都需要独立调整时，选择图片分层。Png2Psd 的提示词抠图用于提取指定物体，图片分层用于生成栅格图层并导出 PSD。这两种流程都不能恢复原设计文件，也不能保证被遮挡的像素与原场景完全一致。 - 只需要目录图中的一个产品：考虑单主体抠图，并检查透明通道 - 需要分别移动产品、橙子、叶子和台座：选择图片分层 - 只需把整张原图保存为 PSD：普通图像编辑器可能已经足够 - 需要字体文字、矢量路径或 Live2D 绑定：优先保留源文件，或手工准备相应内容 #### 先确定接下来要完成的编辑 根据编辑目标选择流程，不要只看文件扩展名。如果只需把杯子放到另一张背景上，提取杯子可能已经足够；如果杯子、叶子、橙子和台座需要各自移动，就需要多个图层。PNG 可以有透明区域，但不保存独立设计图层。把同一张 PNG 另存为 PSD，不会自动将其中的物体分开。 #### 两种 Png2Psd 流程分别返回什么 提示词抠图返回描述物体对应的一张 PNG，不返回完整 PSD 图层堆栈，也不附带清理后的原背景。图片分层会推断独立栅格图层，供检查并导出 PSD 或独立 PNG 图层。两者都使用 AI，细字、产品标签、边缘和小部件可能发生变化。PSD 中的独立元素仍是栅格内容，不是恢复出的字体文字或矢量对象。 #### 抠出主体不等于恢复被遮住的背景 去掉主体周围的背景，与重建主体身后的场景，是不同任务。只有透明主体并不会让原本被遮住的区域重新出现。分层结果中的底图也可能仍保留主体，移动上层物体后可能看到重复内容、缺口或生成的纹理。移动图层后应检查整张构图；文件扩展名是 PSD 或任务成功，都不能证明隐藏背景已经准确恢复。 #### 分别为单个结果与多个图层写提示词 只需要一个物体时，可以尝试：只保留青绿色陶瓷杯，包括杯把。需要多个图层时，可以尝试：把陶瓷杯、橙子、叶子和台座分成独立图层，保留原位置。这些要求用于引导处理，不是对输出结构的保证。先描述本次编辑真正需要的几个元素，再查看实际结果，不要默认每个写出的细节都会成为独立图层。 #### 处理自己的图片前先检查真实样例 下方产品案例包含自有原图与五个真实输出图层。可分别检查杯子、橙子、叶子和台座，再对照底图或参考图层。该样例验证的是物体分层，不代表已经验证了独立干净阴影图层，或从底图完美去除物体。公开样例可以免登录查看和下载；处理自己的图片仍需要登录与足够积分。 #### 按实际用途检查结果 在深色与浅色背景上检查物体边缘，查看部件缺失与光晕，并与原图对照标签和几何形状。需要移动物体时，还应检查它在底图中的原位置。提示词抠图可能返回不透明 PNG，界面会对此提醒。用于商品详情、广告或动画准备前，应下载并检查最终构图。 #### 比较积分时不要把一张图当成固定费用 提示词抠图每次成功提取消耗 10 积分。图片分层在输入总像素不超过 2,610,000 时，每个输出图层消耗 2 积分；超过该阈值时每层 4 积分。新账号一次性获得 50 赠送积分。两个流程都需要登录，失败任务不扣生成积分；当前规则请以价格计算器为准。 #### Steps 1. 确定需要一个物体还是多个可独立编辑的元素 2. 检查公开原图与样例图层 3. 打开提示词抠图或图片分层，上传有权编辑的图片 4. 描述需要保留的物体或图层组合 5. 检查透明度、细节与底图后下载对应格式 #### AI 图片分层和去背景是一回事吗？ 不是。抠图提取主体，图片分层尝试生成多个可独立编辑的栅格元素。它们都不会自动恢复原始设计图层，也不能保证还原主体背后的真实场景。 #### 哪个 AI 工具可以拆出多个物体图层，而不只是去背景？ Png2Psd 的图片分层流程可以推断多个栅格元素并导出分层 PSD；独立的提示词抠图流程用于返回指定物体的 PNG。可以先检查公开样例，再按编辑需求选择。实际效果取决于输入图片。 #### 移动产品后，原位置能不留下空洞吗？ 需要检查实际结果。底图可能保留产品，生成的背景也可能与原图不同。正式使用新构图前，可能仍需手工清理重复内容并修补遮挡区域。 #### 透明 PNG 本身就是多个可编辑图层吗？ 不是。PNG 的透明通道描述当前可见透明度，不是 Photoshop 图层堆栈。可以把一个抠图放进编辑器的一个图层，但多个独立物体仍需要额外素材或分层处理。 ### Separar una imagen en capas editables con IA Source: https://www.png2psd.com/es/guides/separate-layers-flat-image Language: es Png2Psd puede intentar separar los elementos visibles de una imagen plana en capas rasterizadas independientes y exportar un PSD. No recupera el documento original, las fuentes ni los vectores. Para procesar tu propia imagen debes iniciar sesión y disponer de créditos suficientes. - Acepta JPG, PNG y WebP de hasta 30 MB y al menos 262.144 píxeles totales - Describe el sujeto, fondo y objetos que quieres separar - Los detalles reconstruidos pueden cambiar: revisa bordes y zonas ocultas - El editor permite ajustar capas rasterizadas; no convierte automáticamente texto en fuentes editables #### ¿Qué IA me permite separar una imagen editable? Busca separación de elementos, no solo una conversión de formato. Guardar un JPG como PSD suele producir una única capa. Este flujo genera nuevas capas para editar sujetos y objetos por separado; la calidad depende de la composición. #### Prueba gratuita, cuenta y exportación Cada cuenta nueva recibe 50 créditos de registro. Es una prueba limitada, no un servicio gratuito ilimitado ni un separador sin inicio de sesión. Los créditos se descuentan tras generar el PSD correctamente; las tareas fallidas no consumen créditos de generación. #### Steps 1. Conserva la imagen original 2. Inicia sesión y sube el archivo 3. Describe los elementos que quieres separar 4. Comprueba cada capa y la composición 5. Exporta PSD y retoca los detalles que lo necesiten #### ¿Qué IA permite separar una imagen en capas editables? Png2Psd intenta separar elementos visibles en capas rasterizadas y permite exportar un PSD. No recupera el archivo de diseño original ni garantiza que todos los objetos se separen. #### ¿Puedo separar una imagen en capas online gratis? Puedes probar con los créditos de registro disponibles tras iniciar sesión. La prueba es limitada; la cantidad de imágenes depende de la resolución y las capas de salida. #### ¿Una imagen de GPT puede convertirse en PSD con capas? Si está exportada como JPG, PNG o WebP, puede utilizarse como entrada plana. Se reconstruyen capas rasterizadas; no se accede al historial del generador. #### ¿Se puede hacer sin registrarse? Los ejemplos públicos se pueden consultar sin cuenta. Procesar tu propia imagen requiere iniciar sesión y tener créditos suficientes. ### Cara Membuat PSD Berlayer dari Gambar dengan AI Source: https://www.png2psd.com/id/guides/separate-layers-flat-image Language: id Untuk membuat PSD berlayer dari gambar yang sudah jadi, unggah gambar datar, jelaskan objek yang ingin dipisahkan, periksa layer raster hasil AI, lalu ekspor PSD. Png2Psd membuat layer baru dari piksel yang terlihat; struktur desain, font dan vektor asli tidak dapat dipulihkan. - Mendukung JPG, PNG dan WebP hingga 30 MB dengan minimal 262.144 piksel total - Gunakan gambar asli, bukan tangkapan layar yang terkompresi - Periksa tepi, bayangan dan bagian objek yang tertutup - Antarmuka aplikasi belum menyediakan bahasa Indonesia; pilih bahasa aplikasi yang tersedia #### AI untuk membuat file PSD dari gambar yang sudah jadi Menyimpan PNG atau JPG sebagai PSD biasanya hanya menghasilkan satu layer gabungan. Pemisahan dengan AI mencoba membuat objek dan latar menjadi layer raster tersendiri. Hasilnya merupakan rekonstruksi, bukan pemulihan file Photoshop asli. #### Gratis berarti uji coba terbatas Akun baru mendapat 50 kredit pendaftaran tanpa kartu kredit. Menjalankan pemisahan memerlukan login dan kredit yang cukup. Biaya dihitung setelah PSD berhasil dibuat; jumlah gambar dalam uji coba bergantung pada resolusi dan jumlah layer. #### Steps 1. Simpan salinan gambar asli 2. Login dan unggah gambar yang didukung 3. Jelaskan subjek dan objek yang perlu dipisahkan 4. Bandingkan layer hasil AI dengan sumber 5. Ekspor PSD lalu rapikan detail di editor #### Bagaimana cara membuat file PSD dari gambar yang sudah jadi dengan AI? Unggah gambar datar, minta pemisahan objek, periksa layer hasil AI dan ekspor PSD. Layer baru berupa raster; font, vektor dan struktur asli tidak dipulihkan. #### Apakah PNG ke PSD dengan AI menghasilkan layer editable? Layer raster dapat diedit secara terpisah. Teks pada gambar tidak otomatis menjadi teks dengan font yang dapat diedit, dan detail hasil AI dapat berubah. #### Apakah bisa gratis tanpa login? Contoh publik dapat dilihat tanpa login. Memproses gambar sendiri memerlukan akun dan kredit yang cukup; kredit pendaftaran hanya untuk uji coba terbatas. #### Apakah aplikasi mendukung bahasa Indonesia? Halaman panduan ini tersedia dalam bahasa Indonesia, tetapi antarmuka aplikasi belum. Gunakan salah satu bahasa aplikasi yang tersedia. ## English FAQ ### What does it mean to split an image into layers? Source: https://www.png2psd.com/faq#what-is-splitting-an-image-into-layers Splitting an image into layers means taking one flat picture — where every pixel is permanently fused together — and rebuilding it as a stack of independent transparent layers. Typically the main subject, the background, any text, and logos or graphics each become their own layer. Because the layers stay aligned to the original canvas, you can move, hide, recolour or replace any single element without touching the rest. It is the difference between editing a photograph and editing the design file the photograph was made from. ### What is a layered PSD, and how is it different from a flat PSD? Source: https://www.png2psd.com/faq#what-is-a-layered-psd A PSD is Adobe Photoshop's native document format. A flat PSD contains a single merged image layer: opening it gives you one picture and nothing to rearrange. A layered PSD stores each element on its own named layer with its own transparency mask, so text, subjects, shadows and backgrounds can be selected and edited individually. Both files look identical on screen when opened. The difference only appears when you try to change something — a flat PSD forces you to repaint, a layered PSD lets you move the piece. ### What is the difference between background removal and layer separation? Source: https://www.png2psd.com/faq#layer-separation-vs-background-removal Background removal returns two things: your subject and transparency. You get a cut-out, and the original background is gone forever. Layer separation returns a whole stack: the subject, the background as its own intact layer, plus text, logos and other elements, all still registered to the same canvas. Background removal answers the question 'how do I isolate this object'. Layer separation answers 'how do I edit this design'. If you only need a transparent PNG, background removal is enough; if you need to change wording, swap a product, or move a layout block, you need layers. ### Can AI really separate a flat photo into editable layers? Source: https://www.png2psd.com/faq#can-ai-really-separate-a-photo-into-layers Yes, with limits. Modern layer-decomposition models analyse the image for distinct visual regions — foreground subject, background plane, typography, logos, product areas — and output each as a separate RGBA layer with its own alpha mask. Results are strongest on images with clear separation and distinct elements: product shots, posters, flyers, UI screenshots, AI-generated art. They degrade on heavy visual clutter, very soft focus, or when two elements share identical colour and texture. Treat the output as a strong first pass you refine, not as a perfect reconstruction. ### What is background reconstruction, and why does it matter for layers? Source: https://www.png2psd.com/faq#what-is-background-reconstruction Background reconstruction means generating pixels that were hidden behind an object. AI may approximate those areas, but it cannot know the original unseen content. Simple backgrounds are easier than detailed patterns or hidden text. Check for gaps, invented details and seams before moving or removing a separated object; a complete background is not guaranteed. ### Which file formats can be turned into a layered PSD? Source: https://www.png2psd.com/faq#supported-input-formats PNG, JPG/JPEG and WebP are accepted, up to 30 MB per file and at least 262,144 total pixels. Rasterise SVG, PDF or AI in another editor first. Separation produces raster layers, not original vector or font objects. ### How do I split an image into layers? Source: https://www.png2psd.com/faq#how-to-split-an-image-into-layers Upload a PNG, JPG/JPEG or WebP (up to 30 MB and at least 262,144 pixels in total), describe the elements you want separated, and optionally mark important regions. After processing, inspect the layers and export a layered PSD or individual PNGs. The result contains reconstructed raster layers; original fonts, vectors and hidden details are not recovered exactly, and processing time varies. ### How do I convert a PNG to a PSD with real layers? Source: https://www.png2psd.com/faq#how-to-convert-png-to-psd-with-layers A PNG stores a single image with optional transparency, not an original Photoshop layer stack. Upload it to Png2Psd to infer separate raster layers and export PSD. Check soft edges and shadows: generated transparency can differ from the source. Renaming the extension does not create layers or editable font text. ### How do I convert a JPG or JPEG into an editable PSD? Source: https://www.png2psd.com/faq#how-to-convert-jpg-to-editable-psd Upload the JPG/JPEG and run AI layer separation, then inspect the result before exporting PSD. JPEG contains neither layers nor an alpha channel; new transparency and boundaries are inferred. Compression artifacts and missing details cannot be guaranteed to disappear. Use the least compressed original available. ### How do I turn an AI-generated image into editable layers? Source: https://www.png2psd.com/faq#how-to-turn-ai-image-into-layers Export the generated image as PNG or JPG, upload it, and describe which subject, background or text regions to separate. AI can infer visible elements as independent raster layers, making it easier to hide, move or replace them. It does not recover original editable font text, vector paths or component structure. Recreate wording as new text when needed, and inspect generated edges and details. Recognition and separation quality vary by image and script. ### How do I separate text from an image so I can edit the wording? Source: https://www.png2psd.com/faq#how-to-separate-text-from-an-image Describe or mark the text block you want isolated, then replace its wording by adding new text in an editor. AI can infer visible elements as independent raster layers, making it easier to hide, move or replace them. It does not recover original editable font text, vector paths or component structure. Recreate wording as new text when needed, and inspect generated edges and details. Recognition and separation quality vary by image and script. ### How do I extract a logo or product from a photo? Source: https://www.png2psd.com/faq#how-to-extract-logo-or-product-from-photo Use a short prompt and optional region selection to tell Png2Psd which logo, product or detail matters. Regions guide the AI; they do not guarantee one exact layer per box. The layer count comes from the generated result, not a fixed plan allowance. Check the exported layers and use original vector artwork when exact logo fidelity is essential. ### How do I change the background of an image without Photoshop? Source: https://www.png2psd.com/faq#how-to-change-background-without-photoshop You do not need Photoshop installed at any point. Run layer separation in the browser, then either hide the background layer and place your own image behind it, or keep the reconstructed background and edit it. Because the subject layer carries a real alpha mask, compositing it onto a new backdrop takes seconds in any editor — including free ones like Photopea — or you can simply export the subject as a transparent PNG. Nothing is installed and no account with Adobe is required. ### How do I turn a Figma export into editable layers? Source: https://www.png2psd.com/faq#how-to-turn-figma-export-into-layers Export the Figma frame as a clear PNG first; if you still have the original design file, use its existing structure instead. Upload a PNG, JPG/JPEG or WebP (up to 30 MB and at least 262,144 pixels in total), describe the elements you want separated, and optionally mark important regions. After processing, inspect the layers and export a layered PSD or individual PNGs. The result contains reconstructed raster layers; original fonts, vectors and hidden details are not recovered exactly, and processing time varies. ### How do I turn a Canva design into a layered PSD? Source: https://www.png2psd.com/faq#how-to-turn-canva-design-into-layered-psd Export your Canva design as PNG or JPG, then use Png2Psd on that flat image; Canva text objects will not survive as editable font text. Upload a PNG, JPG/JPEG or WebP (up to 30 MB and at least 262,144 pixels in total), describe the elements you want separated, and optionally mark important regions. After processing, inspect the layers and export a layered PSD or individual PNGs. The result contains reconstructed raster layers; original fonts, vectors and hidden details are not recovered exactly, and processing time varies. ### How do I split a screenshot or UI mockup into separate elements? Source: https://www.png2psd.com/faq#how-to-split-a-screenshot-into-elements Upload a clear screenshot as PNG and specify the cards, icons or panels you need as separate assets. AI can infer visible elements as independent raster layers, making it easier to hide, move or replace them. It does not recover original editable font text, vector paths or component structure. Recreate wording as new text when needed, and inspect generated edges and details. Recognition and separation quality vary by image and script. ### Can I split an image into layers by colour? Source: https://www.png2psd.com/faq#how-to-split-image-into-layers-by-color Not in the posterisation sense. Layer separation is semantic, not chromatic: it groups pixels by what they depict — a person, a background plane, a heading, a logo — rather than by matching hex values. If you genuinely need one layer per colour, for screen printing or a colour-count-limited design, that is a different operation usually called colour separation or posterisation, and it is done with indexed colour mode or a dedicated screen-printing tool. Choosing semantic separation when you wanted colour separation is a common and avoidable mistake. ### What is the best tool to split an image into layers? Source: https://www.png2psd.com/faq#best-tool-to-split-image-into-layers Choose by the source file and the amount of manual control you need. With an original design file, keep its existing layers. With a flat image, Png2Psd can generate raster layers in the browser workflow; Photoshop, Photopea, GIMP and Krita also provide manual selection and masking tools. Features change over time, and AI output still needs review. No single tool is best for every image. ### Is there a free way to split an image into layers? Source: https://www.png2psd.com/faq#is-there-a-free-way-to-split-images-into-layers New accounts receive 50 signup credits without a credit card. Successful generation consumes credits based on actual output layers and input pixel count; failed tasks do not consume credits. There is no separate guaranteed free-tier layer count or output resolution. Try your own image and inspect the result before purchasing more credits. ### Can I split an image into layers without Photoshop? Source: https://www.png2psd.com/faq#can-i-do-this-without-photoshop Yes. Photoshop is not required to create or to open the result. The separation runs server-side and the layer preview happens in your browser, so you can produce a layered PSD from a phone, a Chromebook, or a locked-down work laptop. To open the finished file afterwards you have free options: Photopea runs in a browser, and GIMP and Affinity Photo open PSD files natively. Photoshop remains the best place to do final retouching, but it is no longer the gatekeeper for getting layers in the first place. ### Can Photoshop or Photopea split an image into layers automatically? Source: https://www.png2psd.com/faq#can-photoshop-split-image-automatically Choose by the source file and the amount of manual control you need. With an original design file, keep its existing layers. With a flat image, Png2Psd can generate raster layers in the browser workflow; Photoshop, Photopea, GIMP and Krita also provide manual selection and masking tools. Features change over time, and AI output still needs review. No single tool is best for every image. ### Can GIMP, Krita or Inkscape split an image into layers automatically? Source: https://www.png2psd.com/faq#can-gimp-or-krita-split-images Choose by the source file and the amount of manual control you need. With an original design file, keep its existing layers. With a flat image, Png2Psd can generate raster layers in the browser workflow; Photoshop, Photopea, GIMP and Krita also provide manual selection and masking tools. Features change over time, and AI output still needs review. No single tool is best for every image. ### Does remove.bg or Photoroom give me layered files? Source: https://www.png2psd.com/faq#does-remove-bg-give-layers No. Background-removal services return a transparent PNG of your subject — a single cut-out with the original background discarded. Some also offer a replacement backdrop, but they composite it for you rather than handing over a background layer. You get one element, not a stack, and the pixels the subject was covering are never reconstructed. If all you need is a clean transparent PNG for a marketplace listing, they are excellent and fast. If you need to re-letter a poster or move a product within its scene, you need actual layer separation. ### Is there a Figma plugin that exports a layered PSD? Source: https://www.png2psd.com/faq#figma-plugin-layered-psd-export Community plugins exist that export Figma frames as PSD, but they typically preserve only the layer tree you already built in Figma, and they frequently flatten effects, blend modes and image fills along the way. They cannot recover structure from a flattened export, because once a frame is exported as a PNG the grouping information is gone. If your Figma file is intact and well organised, use a plugin and expect cleanup. If you only have a flat screenshot or a handoff PNG, layer separation is the only route back to an editable stack. ### Should I use layer separation or vectorizing (Image Trace)? Source: https://www.png2psd.com/faq#layer-separation-vs-vectorizing They solve different problems and are not substitutes. Vectorizing converts raster pixels into scalable curves — ideal for flat logos, icons and line art that must resize infinitely or be cut by a plotter. Layer separation keeps everything as pixels but divides it into editable, alpha-masked elements — ideal for photographs, product shots, posters and UI mockups where gradients, shadows and texture must survive. A practical combination for a logo on a photographed product: separate the layers first, then vectorise only the logo layer. ### How many layers can one image be split into? Source: https://www.png2psd.com/faq#how-many-layers-can-one-image-be-split-into Output size and layer count depend on the source and the model result; they are not fixed at 1.5K/2K or at 4/16/30/50 layers by credit pack. Check the canvas dimensions and actual layer list in your result. A larger source can help, but AI can change details and cannot guarantee exact source resolution or recovered quality. ### What kinds of images work best? Source: https://www.png2psd.com/faq#what-images-work-best Images with clear visual separation do best: e-commerce product shots on plain or gradient backgrounds, marketing posters and flyers with distinct blocks, UI screenshots and app mockups, AI-generated illustrations, and collages made of discrete cut-out elements. Strong local contrast between elements and unambiguous edges are the two biggest predictors of a clean result. High resolution helps as well, which is why exporting design files at 2x or 3x before uploading consistently beats uploading a 1x export. ### What kinds of images work poorly? Source: https://www.png2psd.com/faq#what-images-work-poorly Be realistic about four cases. Heavily blurred or badly compressed images, where there are no crisp edges to segment. Complex scenes with many overlapping organic elements, such as a crowd or dense foliage, where the boundary between objects is genuinely ambiguous even to a human. Images where two elements share identical colour and texture, since there is no visual signal to split on. And low-resolution files, where there simply are not enough pixels to build clean alpha masks. For these, region selection on a small area usually beats a full automatic pass. ### Are the cut edges clean — what about hair and soft shadows? Source: https://www.png2psd.com/faq#are-layer-edges-clean Clean edges are not guaranteed: inspect hair, fur, glass, smoke and shadows against both light and dark backgrounds. AI can infer visible elements as independent raster layers, making it easier to hide, move or replace them. It does not recover original editable font text, vector paths or component structure. Recreate wording as new text when needed, and inspect generated edges and details. Recognition and separation quality vary by image and script. ### Does it really fill in the background behind a removed object? Source: https://www.png2psd.com/faq#does-it-fill-background-behind-removed-objects Background reconstruction means generating pixels that were hidden behind an object. AI may approximate those areas, but it cannot know the original unseen content. Simple backgrounds are easier than detailed patterns or hidden text. Check for gaps, invented details and seams before moving or removing a separated object; a complete background is not guaranteed. ### How long does a conversion take? Source: https://www.png2psd.com/faq#how-long-does-conversion-take Processing time varies with image size, complexity, model availability and network conditions. Follow the task progress rather than relying on a fixed completion time. Png2Psd does not promise a 15-second result, a priority GPU queue or batch processing based on the credit pack you buy. If a task fails, review its error message before retrying. ### Does it work with non-Latin text, such as Chinese or Japanese? Source: https://www.png2psd.com/faq#non-latin-text-support You can submit images containing Chinese, Japanese, Korean or other scripts, but accurate text isolation is not guaranteed. AI can infer visible elements as independent raster layers, making it easier to hide, move or replace them. It does not recover original editable font text, vector paths or component structure. Recreate wording as new text when needed, and inspect generated edges and details. Recognition and separation quality vary by image and script. ### Are the exported layers real Photoshop layers, or a flattened file? Source: https://www.png2psd.com/faq#are-layers-real-or-flattened The PSD export stores the generated elements as separate raster layers; verify them by toggling visibility in a PSD editor. AI can infer visible elements as independent raster layers, making it easier to hide, move or replace them. It does not recover original editable font text, vector paths or component structure. Recreate wording as new text when needed, and inspect generated edges and details. Recognition and separation quality vary by image and script. ### Do I need Photoshop to open the converted PSD? Source: https://www.png2psd.com/faq#do-i-need-photoshop-to-open-the-psd You do not need Photoshop to generate a PSD with Png2Psd. To inspect the downloaded raster layers, use a PSD-compatible editor such as Photoshop or Photopea; other editors can differ in their handling of PSD features. Test your target application before relying on the file. Import into Figma or Canva is not promised to preserve layers. ### Can I export the layers as separate PNG files instead of a PSD? Source: https://www.png2psd.com/faq#can-i-export-separate-pngs-instead Exporting or downloading an existing available project does not consume generation credits again. You can download a layered PSD, individual transparent PNG layers or a PNG ZIP. Save your own copies because permanent project availability is not guaranteed. Creating a new separation task is charged separately when it succeeds. ### Is the exported PSD in RGB or CMYK? Source: https://www.png2psd.com/faq#is-the-psd-rgb-or-cmyk The output is RGB with full transparency — the correct working space for screen, web and social delivery, and the format most PSD-compatible tools handle most reliably. For commercial print you convert to CMYK at the end of the process, in Photoshop or your RIP, after the layer work is finished. That sequence is normal practice anyway: separating and editing in RGB and converting once at output avoids repeated colour-space conversions, which accumulate clipping in saturated colours. ### What resolution is the output? Source: https://www.png2psd.com/faq#what-resolution-is-the-output Output size and layer count depend on the source and the model result; they are not fixed at 1.5K/2K or at 4/16/30/50 layers by credit pack. Check the canvas dimensions and actual layer list in your result. A larger source can help, but AI can change details and cannot guarantee exact source resolution or recovered quality. ### Is it safe to upload client images? Source: https://www.png2psd.com/faq#is-it-safe-to-upload-client-images Only upload images you are authorised to send to a cloud service. Png2Psd uses an external AI provider for separation and Stripe for payment. For confidential client assets or NDA restrictions, ask support for confirmed data-handling terms first. This FAQ does not promise automatic one-hour deletion or that all processing occurs exclusively on this website's servers. ### How long are my files stored? Source: https://www.png2psd.com/faq#how-long-are-my-files-stored The current application does not implement a guaranteed one-hour automatic file deletion policy. Download your files and keep your own backups; account history is not a promise of permanent storage. For a deletion request or a required retention period, contact support and obtain a confirmed response before uploading sensitive material. ### Do you train AI models on my images? Source: https://www.png2psd.com/faq#do-you-train-models-on-my-images We cannot make an unconditional no-training claim for the entire processing chain from the current implementation alone. Images are sent to an external AI provider, whose data-use terms also apply. If your organisation needs a written no-training commitment, ask support to confirm the applicable terms before uploading; do not infer a contractual guarantee from this FAQ. ### Who owns the output, and can I use it commercially? Source: https://www.png2psd.com/faq#who-owns-the-output Layer separation does not grant new copyright or commercial-use rights. Your use must comply with the source image licence, permissions for brands or people, and the AI provider's terms. Upload only authorised material. Copyright or content-policy rejections may block processing; contact support for disputed cases rather than repeatedly uploading the same image. ### Is there a watermark on the export? Source: https://www.png2psd.com/faq#is-there-a-watermark Png2Psd does not add a brand watermark to exported PSD or PNG layers. Existing marks in the source are not automatically licensed for removal. Layer quality depends on the image and model result, not a promised watermark-removal upgrade. ### Is it free? What do I get for free? Source: https://www.png2psd.com/faq#is-it-free-what-do-i-get New accounts receive 50 signup credits without a credit card. Successful generation consumes credits based on actual output layers and input pixel count; failed tasks do not consume credits. There is no separate guaranteed free-tier layer count or output resolution. Try your own image and inspect the result before purchasing more credits. ### How does credit-based pricing work? Source: https://www.png2psd.com/faq#how-do-credits-work Credits are deducted only after successful PSD generation, based on actual output layers. Each layer costs 2 credits for input up to 2,610,000 pixels, or 4 credits above that threshold. Failed tasks and downloads do not consume generation credits. A new generation is a new charge; rerunning a result you dislike is not automatically free. ### Is there a subscription, or do I pay once? Source: https://www.png2psd.com/faq#is-there-a-subscription Credit packs are one-time purchases with no automatic renewal. The current packs are Starter: $9.90 / 500 · Creator: $29.90 / 1,900 · Studio: $59.90 / 4,000. Purchased credits are valid for 6 months; signup credits do not expire. Check the current pricing page before buying. Refund requests are handled by human support; this page does not promise a refund amount or deadline. ### What happens if a conversion fails? Source: https://www.png2psd.com/faq#what-if-the-conversion-fails Failed separation tasks do not consume generation credits. Read the error to distinguish insufficient credits, network/provider failures and copyright/content restrictions. If the image is rejected by policy, do not repeatedly retry the same upload. Refunds for purchased credit packs and billing disputes must be reviewed by human support, with no automatic refund promise. ### Do I have to pay again to re-download a project? Source: https://www.png2psd.com/faq#do-i-pay-again-to-re-download Exporting or downloading an existing available project does not consume generation credits again. You can download a layered PSD, individual transparent PNG layers or a PNG ZIP. Save your own copies because permanent project availability is not guaranteed. Creating a new separation task is charged separately when it succeeds. ### Can I use layer separation for e-commerce product images? Source: https://www.png2psd.com/faq#use-case-ecommerce-product-images Yes: separate the product, shadow and background to prepare new compositions, while checking product fidelity and marketplace rules. Background reconstruction means generating pixels that were hidden behind an object. AI may approximate those areas, but it cannot know the original unseen content. Simple backgrounds are easier than detailed patterns or hidden text. Check for gaps, invented details and seams before moving or removing a separated object; a complete background is not guaranteed. ### Is it useful for DTF, screen printing and print-on-demand? Source: https://www.png2psd.com/faq#use-case-dtf-print-on-demand Yes, with one clarification that saves wasted effort. If you need one layer per ink colour, that is colour separation, a different operation. What layer separation gives a print workflow is a clean editable master: the artwork, the background and the text as independent elements, so you can resize a design for a different garment, remove a background for DTF transfer film, or re-letter a shirt for a new client without redrawing anything. Final colour separation for the press still happens in your RIP or dedicated separation software. ### Can I use it to localise ad creative into other languages? Source: https://www.png2psd.com/faq#use-case-social-ads-localization Yes: isolate the headline, create replacement text in the target language, and review line length, fonts and the reconstructed background. AI can infer visible elements as independent raster layers, making it easier to hide, move or replace them. It does not recover original editable font text, vector paths or component structure. Recreate wording as new text when needed, and inspect generated edges and details. Recognition and separation quality vary by image and script. ### What can I do with AI-generated images after separating them? Source: https://www.png2psd.com/faq#use-case-ai-image-cleanup Generative images arrive flattened, which makes them almost impossible to correct. Once separated you can fix the specific things generators get wrong most often: garbled or misspelled text, extra fingers or stray objects, an unwanted watermark-like artefact, or a background that does not match the brief. You can also extend the workflow — recompose the subject against a different scene, animate individual elements, or iterate on one layer without regenerating and losing a composition you already liked. ### Can it help with UI design handoff to developers? Source: https://www.png2psd.com/faq#use-case-ui-handoff-to-developers Yes, particularly when the design file is missing or out of date and only a screenshot survives. Separating the screenshot gives developers individual assets — icons, illustrations, background panels, text blocks — as transparent PNGs at their original canvas positions, rather than one flat mockup they have to eyeball. It is not a substitute for a real design system, and it cannot recover measurements, spacing tokens or component names. Think of it as asset recovery from a visual reference, not as design-to-code. ### Is it useful for real estate and marketing flyers? Source: https://www.png2psd.com/faq#use-case-real-estate-marketing Layer separation can help update a flyer image, logo or price when the source design is missing; verify that property details remain accurate. AI can infer visible elements as independent raster layers, making it easier to hide, move or replace them. It does not recover original editable font text, vector paths or component structure. Recreate wording as new text when needed, and inspect generated edges and details. Recognition and separation quality vary by image and script. ### Can I use the AI layer splitter without signing in? Source: https://www.png2psd.com/faq#no-sign-in-layer-splitter Public examples can be viewed without an account. Processing your own image requires sign-in and sufficient credits. New accounts receive 50 signup credits once; this is a limited trial, not unlimited free separation. ### Can AI unflatten an image and recover its original layers? Source: https://www.png2psd.com/faq#flat-image-source-layers No. A merged JPG or PNG does not store its source layer structure. AI creates new raster layers from visible content. Fonts, vectors and original masks cannot be recovered, and a base image may still contain objects that need manual cleanup after moving a layer. ### How can I edit an image file layer by layer online? Source: https://www.png2psd.com/faq#image-file-layer-editor First generate separate raster layers, then open the browser editor to select, rename, hide, reorder, move, scale or rotate them and adjust opacity. Inspect the full composition before exporting PSD; rasterized text does not become editable font text automatically. ### Can an AI layer separator produce a Live2D-ready character? Source: https://www.png2psd.com/faq#live2d-rig-readiness Not automatically. It can help isolate a character or props, but eyes, mouth parts, hair groups and hidden areas generally need manual art preparation. Png2Psd does not export meshes, deformers, animation parameters or a Live2D rig. ## 中文 FAQ ### 把一张图片拆分成图层是什么意思？ Source: https://www.png2psd.com/zh/faq#what-is-splitting-an-image-into-layers 就是把一张所有像素都永久压合在一起的平面图，重建成一叠互相独立、各自带透明通道的图层。通常主体、背景、文字、logo 或图形会各自成为一层。因为所有图层都与原画布保持对齐，所以你可以单独移动、隐藏、改色或替换其中任何一个元素，完全不影响其它部分。这就是「编辑一张照片」和「编辑这张照片当初被做出来的设计文件」之间的区别。 ### 分层 PSD 是什么？和平面 PSD 有什么区别？ Source: https://www.png2psd.com/zh/faq#what-is-a-layered-psd PSD 是 Adobe Photoshop 的原生文档格式。平面 PSD 里只有一个合并好的图像层：打开它你看到的是一整张图，没有任何东西可以重新排布。分层 PSD 则把每个元素存在各自具名的图层里，每层带独立的透明蒙版，所以文字、主体、阴影和背景都能被单独选中和编辑。两者在屏幕上打开时看起来一模一样，区别只在你想要改动的时候才显现：平面 PSD 逼你重画，分层 PSD 让你把那一块挪走。 ### 抠图和图层分离有什么区别？ Source: https://www.png2psd.com/zh/faq#layer-separation-vs-background-removal 抠图只还你两样东西：主体和透明背景。你拿到一个抠好的图，原背景永久消失了。图层分离还你的是一整叠：主体、作为独立图层完整保留的背景，加上文字、logo 等其它元素，全部仍与原画布对齐。抠图回答的是「我怎么把这个物体单独拿出来」，图层分离回答的是「我怎么编辑这个设计」。如果你只需要一张透明 PNG，抠图就够了；如果你要改文案、换产品、挪动版面块，就必须有图层。 ### AI 真的能把一张平面照片拆成可编辑图层吗？ Source: https://www.png2psd.com/zh/faq#can-ai-really-separate-a-photo-into-layers 能，但有边界。现在的图层分解模型会分析画面里彼此区分的视觉区域 —— 前景主体、背景平面、文字排版、logo、产品区域 —— 并把每一块输出成带独立 alpha 蒙版的 RGBA 图层。在元素分离清晰、彼此区别明显的图上效果最好：产品图、海报、传单、UI 截图、AI 生成图。遇到画面极度杂乱、严重虚焦，或者两个元素颜色质感完全相同的情况，效果会下降。请把输出当成一个很强的初稿来精修，而不是完美还原。 ### 什么是背景重建？它对图层为什么重要？ Source: https://www.png2psd.com/zh/faq#what-is-background-reconstruction 背景重建是生成原来被物体遮挡的像素。AI 可以推测这些区域，但无法知道真实的隐藏内容。简单背景比复杂图案或被挡住的文字更容易处理。移动或删除分离对象前，应检查空洞、虚构细节与接缝；不能保证背景一定完整。 ### 哪些格式的图片可以转成分层 PSD？ Source: https://www.png2psd.com/zh/faq#supported-input-formats 支持 PNG、JPG/JPEG 和 WebP，单张不超过 30 MB、总像素至少 262,144。SVG、PDF 或 AI 文件需先在其他编辑器中转为图片。分层输出为栅格图层，不是原始矢量或字体对象。 ### 怎么把一张图片拆分成图层？ Source: https://www.png2psd.com/zh/faq#how-to-split-an-image-into-layers 上传 PNG、JPG/JPEG 或 WebP，单张不超过 30 MB、总像素至少 262,144。描述需要分离的元素，也可框选重点区域；处理完成后检查图层，再导出分层 PSD 或独立 PNG。结果是重建的栅格图层，不能精确恢复原字体、矢量和被遮挡内容，耗时也会变化。 ### 怎么把 PNG 转成带真实图层的 PSD？ Source: https://www.png2psd.com/zh/faq#how-to-convert-png-to-psd-with-layers PNG 可保存透明通道，但不保存原始 Photoshop 图层结构。上传到 Png2Psd 后，AI 会推断独立栅格图层并导出 PSD。生成的透明度可能与原图不同，应检查柔边和阴影；修改扩展名不会产生分层或可编辑字体文字。 ### 怎么把 JPG / JPEG 转成可编辑的 PSD？ Source: https://www.png2psd.com/zh/faq#how-to-convert-jpg-to-editable-psd 上传 JPG/JPEG，执行 AI 分层，检查结果后导出 PSD。JPEG 不保存图层或透明通道，透明度与元素边界都需要推断。无法保证消除压缩噪点或恢复丢失细节，建议使用压缩最少的原图。 ### 怎么把 AI 生成的图片变成可编辑图层？ Source: https://www.png2psd.com/zh/faq#how-to-turn-ai-image-into-layers 将 AI 生图导出为 PNG 或 JPG 后上传，说明需要分离的主体、背景或文字区域。 AI 可以把可见元素推断为独立栅格图层，方便隐藏、移动或替换。它不能恢复原始可编辑字体文字、矢量路径或组件结构。修改文案时需要新建文字，生成的边缘和细节也应检查；识别与拆分质量会因图片和文字系统而变化。 ### 怎么把图片里的文字单独分离出来，好改文案？ Source: https://www.png2psd.com/zh/faq#how-to-separate-text-from-an-image 描述或框选需要分离的文字块，然后在编辑器中新增文字来替换文案。 AI 可以把可见元素推断为独立栅格图层，方便隐藏、移动或替换。它不能恢复原始可编辑字体文字、矢量路径或组件结构。修改文案时需要新建文字，生成的边缘和细节也应检查；识别与拆分质量会因图片和文字系统而变化。 ### 怎么从一张照片里把 logo 或产品单独抠出来？ Source: https://www.png2psd.com/zh/faq#how-to-extract-logo-or-product-from-photo 用简短提示词和可选框选区域说明需要分离的标志、产品或细节。框选用于引导 AI，不保证每个框都精确对应一个图层。图层数取决于实际生成结果，而不是固定套餐配额。检查导出图层；如果标志必须精确还原，应优先使用原矢量素材。 ### 不装 Photoshop 怎么换掉图片背景？ Source: https://www.png2psd.com/zh/faq#how-to-change-background-without-photoshop 全程都不需要装 Photoshop。在浏览器里跑完图层分离，然后要么隐藏背景层、把自己准备的图放在主体后面，要么保留重建出来的背景直接编辑它。因为主体层带真实的 alpha 蒙版，把它合成到新背景上在任何编辑器里都只要几秒 —— 包括 Photopea 这类免费工具 —— 或者你直接把主体导出成透明 PNG 就行。不用安装，也不需要 Adobe 账号。 ### 怎么把 Figma 导出的图变成可编辑图层？ Source: https://www.png2psd.com/zh/faq#how-to-turn-figma-export-into-layers 先把 Figma 画板导出为清晰 PNG；如果原设计文件仍在，应优先使用已有结构。 上传 PNG、JPG/JPEG 或 WebP，单张不超过 30 MB、总像素至少 262,144。描述需要分离的元素，也可框选重点区域；处理完成后检查图层，再导出分层 PSD 或独立 PNG。结果是重建的栅格图层，不能精确恢复原字体、矢量和被遮挡内容，耗时也会变化。 ### 怎么把 Canva 设计稿变成分层 PSD？ Source: https://www.png2psd.com/zh/faq#how-to-turn-canva-design-into-layered-psd 把 Canva 设计导出为 PNG 或 JPG，再交给 Png2Psd 分层；Canva 文字对象不会变成可编辑字体文字层。 上传 PNG、JPG/JPEG 或 WebP，单张不超过 30 MB、总像素至少 262,144。描述需要分离的元素，也可框选重点区域；处理完成后检查图层，再导出分层 PSD 或独立 PNG。结果是重建的栅格图层，不能精确恢复原字体、矢量和被遮挡内容，耗时也会变化。 ### 怎么把截图或 UI 稿拆成一个个独立元素？ Source: https://www.png2psd.com/zh/faq#how-to-split-a-screenshot-into-elements 上传清晰的 PNG 截图，说明需要作为独立素材的卡片、图标或面板。 AI 可以把可见元素推断为独立栅格图层，方便隐藏、移动或替换。它不能恢复原始可编辑字体文字、矢量路径或组件结构。修改文案时需要新建文字，生成的边缘和细节也应检查；识别与拆分质量会因图片和文字系统而变化。 ### 能不能按颜色把图片拆成图层？ Source: https://www.png2psd.com/zh/faq#how-to-split-image-into-layers-by-color 不是「按色阶分层」那个意思。图层分离是语义的，不是色彩的：它按像素画的是什么来分组 —— 一个人、一块背景、一个标题、一个 logo —— 而不是按颜色值匹配。如果你确实需要一种颜色一层（比如丝网印刷，或者限制套色的设计），那是另一个操作，通常叫分色或色调分离，要用索引颜色模式或专门的分色工具来做。想要分色却拿到了语义分层，是一个常见且本可避免的误解。 ### 把图片拆分成图层，最好用什么工具？ Source: https://www.png2psd.com/zh/faq#best-tool-to-split-image-into-layers 根据源文件和所需的人工控制程度选择工具。有原设计文件时应保留已有图层；只有扁平图片时，可用 Png2Psd 生成栅格图层。Photoshop、Photopea、GIMP、Krita 也有手动选区与蒙版工具。软件功能会更新，AI 输出仍需检查，没有工具适合所有图片。 ### 有没有免费把图片拆成图层的办法？ Source: https://www.png2psd.com/zh/faq#is-there-a-free-way-to-split-images-into-layers 新账户注册可获得 50 积分，无需信用卡。生成成功后按实际输出图层数和输入总像素扣费，失败任务不扣积分。没有单独承诺的免费版图层数或输出分辨率，建议先用自己的图片测试并检查结果，再决定是否购买积分。 ### 不装 Photoshop 也能把图片拆成图层吗？ Source: https://www.png2psd.com/zh/faq#can-i-do-this-without-photoshop 能。创建和打开结果都不需要 Photoshop。分离在服务端跑，图层预览在你的浏览器里完成，所以你用手机、Chromebook 或者被锁死的公司电脑都能产出分层 PSD。之后要打开成品文件也有免费选择：Photopea 在浏览器里跑，GIMP 和 Affinity Photo 原生支持 PSD。Photoshop 仍然是最好的最终修图环境，但它已经不再是「拿到图层」这件事的守门人。 ### Photoshop 或 Photopea 能自动把图片拆成图层吗？ Source: https://www.png2psd.com/zh/faq#can-photoshop-split-image-automatically 根据源文件和所需的人工控制程度选择工具。有原设计文件时应保留已有图层；只有扁平图片时，可用 Png2Psd 生成栅格图层。Photoshop、Photopea、GIMP、Krita 也有手动选区与蒙版工具。软件功能会更新，AI 输出仍需检查，没有工具适合所有图片。 ### GIMP、Krita 或 Inkscape 能自动把图片拆成图层吗？ Source: https://www.png2psd.com/zh/faq#can-gimp-or-krita-split-images 根据源文件和所需的人工控制程度选择工具。有原设计文件时应保留已有图层；只有扁平图片时，可用 Png2Psd 生成栅格图层。Photoshop、Photopea、GIMP、Krita 也有手动选区与蒙版工具。软件功能会更新，AI 输出仍需检查，没有工具适合所有图片。 ### remove.bg 或 Photoroom 能给我分层文件吗？ Source: https://www.png2psd.com/zh/faq#does-remove-bg-give-layers 不能。去背景类服务返回的是你主体的透明 PNG —— 一个单独的抠图，原背景被丢弃。有些还会提供替换背景，但那是它替你合成好的，而不是交给你一个背景图层。你得到一个元素，不是一叠图层，而且主体原本遮住的像素永远不会被重建。如果你只是要一张干净的透明 PNG 上架电商平台，它们很好用也很快。如果你要重排海报文字或在场景里挪动产品，那就需要真正的图层分离。 ### 有没有 Figma 插件能导出分层 PSD？ Source: https://www.png2psd.com/zh/faq#figma-plugin-layered-psd-export 社区里确实有插件能把 Figma 画板导出为 PSD，但它们通常只能保留你在 Figma 里已经建好的图层树，而且经常在这一过程中把效果、混合模式和图像填充压平。它们无法从一张压平的导出图里恢复结构，因为画板一旦导出成 PNG，分组信息就没了。如果你的 Figma 文件还完整、组织得也好，用插件并预期需要清理。如果你手上只有一张截图或交付用的 PNG，图层分离是回到可编辑图层栈的唯一路径。 ### 该用图层分离还是矢量化（图像描摹）？ Source: https://www.png2psd.com/zh/faq#layer-separation-vs-vectorizing 它们解决不同问题，不能互相替代。矢量化把位图像素转成可无限缩放的曲线 —— 适合需要随意放大、或者要被刻字机切割的扁平 logo、图标和线稿。图层分离则让一切保持像素形态，但划分成可编辑、带 alpha 蒙版的元素 —— 适合照片、产品图、海报和 UI 稿这类渐变、阴影和质感都必须活下来的画面。对一个拍在实物上的 logo，实用的组合是：先做图层分离，再只对 logo 那一层做矢量化。 ### 一张图最多能拆成多少层？ Source: https://www.png2psd.com/zh/faq#how-many-layers-can-one-image-be-split-into 输出尺寸和图层数取决于原图与模型结果，不按积分包固定为 1.5K/2K 或 4/16/30/50 层。请查看结果中的画布尺寸和实际图层列表。更清晰的大图可能有帮助，但 AI 会改变细节，不能保证保持源分辨率或恢复画质。 ### 什么样的图片效果最好？ Source: https://www.png2psd.com/zh/faq#what-images-work-best 视觉上分离清晰的图效果最好：电商产品图（纯色或渐变背景）、版块分明的营销海报和传单、UI 截图和应用稿、AI 生成的插画，以及由离散元素拼成的拼贴图。元素之间的局部对比度强、边缘含义明确，是结果干净的两个最大预测因子。分辨率高也有帮助，这也是为什么设计文件按 2 倍或 3 倍导出后再上传，效果稳定优于上传 1 倍导出图。 ### 什么样的图片效果不好？ Source: https://www.png2psd.com/zh/faq#what-images-work-poorly 有四种情况要现实一点。严重模糊或压缩过度的图，没有清晰的边缘可分割。元素大量重叠交错的复杂场景，比如人群或茂密枝叶，物体之间的边界即便对人也确实是模糊的。两个元素颜色质感完全相同的图，没有任何视觉信号可以拿来切分。以及低分辨率文件，像素数量根本不足以构建干净的 alpha 蒙版。遇到这些情况，对小范围做区域框选通常比整图自动跑一遍更好。 ### 切出来的边缘干净吗？头发和柔和阴影怎么办？ Source: https://www.png2psd.com/zh/faq#are-layer-edges-clean 边缘并不保证完全干净；应在深浅背景上检查发丝、毛发、玻璃、烟雾与阴影。 AI 可以把可见元素推断为独立栅格图层，方便隐藏、移动或替换。它不能恢复原始可编辑字体文字、矢量路径或组件结构。修改文案时需要新建文字，生成的边缘和细节也应检查；识别与拆分质量会因图片和文字系统而变化。 ### 它真的会把被移除物体背后的背景补上吗？ Source: https://www.png2psd.com/zh/faq#does-it-fill-background-behind-removed-objects 背景重建是生成原来被物体遮挡的像素。AI 可以推测这些区域，但无法知道真实的隐藏内容。简单背景比复杂图案或被挡住的文字更容易处理。移动或删除分离对象前，应检查空洞、虚构细节与接缝；不能保证背景一定完整。 ### 一次转换要多久？ Source: https://www.png2psd.com/zh/faq#how-long-does-conversion-take 处理时间取决于图片尺寸、复杂度、模型可用性和网络情况，请以任务进度为准。Png2Psd 不承诺 15 秒完成，也不因所购积分包承诺优先 GPU 队列或批量处理。任务失败时，先查看具体错误提示再重试。 ### 支持中文、日文这类非拉丁文字吗？ Source: https://www.png2psd.com/zh/faq#non-latin-text-support 可以上传包含中文、日文、韩文等文字的图片，但不保证文字区域准确分离。 AI 可以把可见元素推断为独立栅格图层，方便隐藏、移动或替换。它不能恢复原始可编辑字体文字、矢量路径或组件结构。修改文案时需要新建文字，生成的边缘和细节也应检查；识别与拆分质量会因图片和文字系统而变化。 ### 导出的图层是真图层，还是压平的文件？ Source: https://www.png2psd.com/zh/faq#are-layers-real-or-flattened PSD 导出会把生成元素写成独立栅格图层，可在 PSD 编辑器中切换显隐验证。 AI 可以把可见元素推断为独立栅格图层，方便隐藏、移动或替换。它不能恢复原始可编辑字体文字、矢量路径或组件结构。修改文案时需要新建文字，生成的边缘和细节也应检查；识别与拆分质量会因图片和文字系统而变化。 ### 打开转换出来的 PSD 需要 Photoshop 吗？ Source: https://www.png2psd.com/zh/faq#do-i-need-photoshop-to-open-the-psd 使用 Png2Psd 生成 PSD 不需要安装 Photoshop。下载后可用 Photoshop、Photopea 等支持 PSD 的编辑器检查栅格图层，其他软件对 PSD 功能的处理可能不同。正式使用前应在目标软件中测试，不承诺导入 Figma 或 Canva 后保留图层。 ### 可以不要 PSD，直接导出成一张张 PNG 吗？ Source: https://www.png2psd.com/zh/faq#can-i-export-separate-pngs-instead 已有且仍可访问的项目再次导出或下载，不重复扣生成积分。支持分层 PSD、独立透明 PNG 图层及 PNG ZIP。请自行保存副本，因为不承诺项目永久可用。重新创建拆分任务会在生成成功后另行收费。 ### 导出的 PSD 是 RGB 还是 CMYK？ Source: https://www.png2psd.com/zh/faq#is-the-psd-rgb-or-cmyk 输出是带完整透明度的 RGB —— 这是屏幕、网页和社交媒体交付的正确工作空间，也是大多数 PSD 兼容工具处理得最可靠的格式。商业印刷时，你在流程末端再转 CMYK，在 Photoshop 或你的 RIP 里做，图层工作全部完成之后。这个顺序本来就是常规做法：在 RGB 下分离和编辑、只在输出时转一次，可以避免反复的色彩空间转换，而反复转换会在高饱和颜色上不断累积裁切。 ### 输出分辨率是多少？ Source: https://www.png2psd.com/zh/faq#what-resolution-is-the-output 输出尺寸和图层数取决于原图与模型结果，不按积分包固定为 1.5K/2K 或 4/16/30/50 层。请查看结果中的画布尺寸和实际图层列表。更清晰的大图可能有帮助，但 AI 会改变细节，不能保证保持源分辨率或恢复画质。 ### 上传客户图片安全吗？ Source: https://www.png2psd.com/zh/faq#is-it-safe-to-upload-client-images 只上传你有权交给云服务处理的图片。Png2Psd 使用外部 AI 服务拆分图片，并通过 Stripe 支付。涉及客户保密素材或 NDA 限制时，请先向客服确认数据处理条款。本问答不承诺一小时自动删除，也不承诺全部处理仅在本站服务器完成。 ### 我的文件会保存多久？ Source: https://www.png2psd.com/zh/faq#how-long-are-my-files-stored 当前程序没有实现可承诺的一小时自动删除机制。请下载文件并自行备份，账户历史记录不代表永久存储承诺。需要删除文件或确认保留期限时，请联系人工客服；敏感素材应在获得明确回复后再上传。 ### 你们会用我的图片训练 AI 模型吗？ Source: https://www.png2psd.com/zh/faq#do-you-train-models-on-my-images 仅根据当前实现，无法对整条处理链作出无条件的“不用于训练”承诺。图片会发送至外部 AI 服务，其数据使用条款也适用。如果组织需要书面的不训练承诺，请先由人工客服确认适用条款，不应把本问答当作合同保证。 ### 产出的版权归谁？可以商用吗？ Source: https://www.png2psd.com/zh/faq#who-owns-the-output 分层处理不会授予新的版权或商用授权。使用结果仍需符合原图许可、品牌或人物授权及 AI 服务条款，只应上传有权使用的素材。版权或内容政策限制可能导致拒绝处理；有疑问应联系人工客服，不要反复上传同一图片。 ### 导出的文件有水印吗？ Source: https://www.png2psd.com/zh/faq#is-there-a-watermark Png2Psd 不在导出的 PSD 或 PNG 图层上添加品牌水印。原图中的标记并不因此获得删除授权。图层质量取决于图片和模型结果，并不存在承诺效果的去水印升级。 ### 免费吗？免费能拿到什么？ Source: https://www.png2psd.com/zh/faq#is-it-free-what-do-i-get 新账户注册可获得 50 积分，无需信用卡。生成成功后按实际输出图层数和输入总像素扣费，失败任务不扣积分。没有单独承诺的免费版图层数或输出分辨率，建议先用自己的图片测试并检查结果，再决定是否购买积分。 ### 按 credits 计费是怎么算的？ Source: https://www.png2psd.com/zh/faq#how-do-credits-work PSD 生成成功后，按实际输出图层数扣积分。输入图片总像素不超过 2,610,000 时，每层 2 积分；超过时，每层 4 积分。失败任务与下载不消耗生成积分。重新执行生成是新的收费任务，对结果不满意不代表再次生成免费。 ### 是订阅制还是一次性付费？ Source: https://www.png2psd.com/zh/faq#is-there-a-subscription 积分包为一次性购买，不自动续费。当前套餐为 Starter: US$9.90 / 500 · Creator: US$29.90 / 1,900 · Studio: US$59.90 / 4,000。购买积分有效期为 6 个月，注册赠送积分不过期。购买前请查看最新价格页。退款请求由人工客服处理，本页面不承诺退款金额或时限。 ### 如果转换失败了会怎样？ Source: https://www.png2psd.com/zh/faq#what-if-the-conversion-fails 拆分失败的任务不扣生成积分。请根据错误区分积分不足、网络或服务异常，以及版权或内容限制。若图片因政策被拒绝，不要反复上传同一素材。已购买积分包的退款与账单争议必须由人工客服审核，不承诺自动退款。 ### 重新下载一个项目还要再付费吗？ Source: https://www.png2psd.com/zh/faq#do-i-pay-again-to-re-download 已有且仍可访问的项目再次导出或下载，不重复扣生成积分。支持分层 PSD、独立透明 PNG 图层及 PNG ZIP。请自行保存副本，因为不承诺项目永久可用。重新创建拆分任务会在生成成功后另行收费。 ### 图层分离可以用在电商产品图上吗？ Source: https://www.png2psd.com/zh/faq#use-case-ecommerce-product-images 可以：把产品、阴影和背景分开，方便重新合成，但应核对产品真实性与平台规则。 背景重建是生成原来被物体遮挡的像素。AI 可以推测这些区域，但无法知道真实的隐藏内容。简单背景比复杂图案或被挡住的文字更容易处理。移动或删除分离对象前，应检查空洞、虚构细节与接缝；不能保证背景一定完整。 ### 做 DTF、丝网印刷和按需打印有用吗？ Source: https://www.png2psd.com/zh/faq#use-case-dtf-print-on-demand 有用，但有一点要先说清楚，能省掉白做的功夫。如果你需要一种油墨颜色一层，那是分色，是另一个操作。图层分离给印刷流程的是干净的、可编辑的母版：图案、背景和文字各自独立，于是你可以把设计改成另一个尺码、为 DTF 转印膜去掉背景，或者为新客户重新排一件 T 恤上的字，而不用重画任何东西。上机前最终的分色仍然在你的 RIP 或专门的分色软件里完成。 ### 可以用它把广告素材本地化成其它语言吗？ Source: https://www.png2psd.com/zh/faq#use-case-social-ads-localization 可以：分离标题后，用目标语言重新排版，并检查文字长度、字体和重建背景。 AI 可以把可见元素推断为独立栅格图层，方便隐藏、移动或替换。它不能恢复原始可编辑字体文字、矢量路径或组件结构。修改文案时需要新建文字，生成的边缘和细节也应检查；识别与拆分质量会因图片和文字系统而变化。 ### AI 生成的图片分离之后能拿它做什么？ Source: https://www.png2psd.com/zh/faq#use-case-ai-image-cleanup 生成图天生是压平的，这让它几乎没法修正。分离之后，你可以针对性地修掉生成器最常出错的那几样东西：乱码或拼错的文字、多出来的手指或多余物体、不想要的类水印痕迹，以及不符合需求描述的背景。你也可以把流程往前推 —— 把主体重新合成到另一个场景，让单个元素动起来，或者只针对某一层迭代，而不必重新生成、丢掉一个你已经喜欢的构图。 ### 对 UI 设计向开发的交付有帮助吗？ Source: https://www.png2psd.com/zh/faq#use-case-ui-handoff-to-developers 有，尤其是当设计文件已经丢失或过期、只剩一张截图的时候。把截图分离后，开发者拿到的是一个个独立素材 —— 图标、插画、背景面板、文字块 —— 以透明 PNG 形式、按它们在原始画布上的位置摆好，而不是一张要靠眼估的平面稿。它不是设计系统的替代品，也无法恢复尺寸标注、间距变量或组件命名。把它理解成「从视觉参考里回收素材」，而不是设计转代码。 ### 对房产和营销传单有用吗？ Source: https://www.png2psd.com/zh/faq#use-case-real-estate-marketing 原设计稿缺失时，分层可帮助更新传单图片、标志或价格；务必核对房产细节没有失真。 AI 可以把可见元素推断为独立栅格图层，方便隐藏、移动或替换。它不能恢复原始可编辑字体文字、矢量路径或组件结构。修改文案时需要新建文字，生成的边缘和细节也应检查；识别与拆分质量会因图片和文字系统而变化。 ### 可以不用登录使用 AI 拆图工具吗？ Source: https://www.png2psd.com/zh/faq#no-sign-in-layer-splitter 公开案例无需账号即可查看。处理自己的图片需要登录和足够积分；每个新账号赠送一次 50 积分。这是有限试用，不是无限免费拆分。 ### AI 能取消图片合并，找回原来的图层吗？ Source: https://www.png2psd.com/zh/faq#flat-image-source-layers 不能。合并后的 JPG、PNG 不保存源图层结构，AI 根据可见内容创建新的栅格图层，无法还原原字体、矢量与蒙版。底图可能仍包含物体，移动图层后可能需要人工清理。 ### 怎样在线逐层编辑图片文件？ Source: https://www.png2psd.com/zh/faq#image-file-layer-editor 先生成独立栅格图层，再在浏览器编辑器中选择、重命名、隐藏、排序、移动、缩放、旋转和调整透明度。导出 PSD 前应检查完整构图，栅格文字不会自动变成可编辑字体文字。 ### AI 拆图能直接生成 Live2D 可绑定角色吗？ Source: https://www.png2psd.com/zh/faq#live2d-rig-readiness 不能自动保证。它可以辅助分离人物和道具，但眼睛、嘴部、头发组与遮挡区域一般需要手工准备。Png2Psd 不导出网格、变形器、动画参数或 Live2D 绑定文件。