If you have an image and you want to edit it in Figma, you have three options. You can drag it in as a flat image and trace it by hand (slow). You can re-create the design from scratch using the image as a reference (slower). Or you can convert the image to editable Figma layers with AI.
This guide is about the third option. Codia AI converts any image — UI screenshot, mobile screen, wireframe, sketch, web page, illustration, or photograph of a screen — into a structured Figma file with real text, real shapes, real components, and Auto Layout where the analogy applies. Most full screens take about ten seconds.
What "Image to Figma" Means
"Image to Figma" is the broader keyword family for AI conversion of visual inputs into editable Figma designs. It covers:
- Screenshot to Figma — the most common case (UI captures)
- Mockup to Figma — designs from PNG/JPG mockups
- Wireframe to Figma — black-and-white wireframe images
- Sketch to Figma UI — photos of hand-drawn UI sketches
- Illustration to Figma — converting brand artwork into layered files
- Screenshot to UI design — same intent, different phrasing
All of these run through the same Codia AI conversion pipeline. The differences are in what to expect from the output.
Supported Image Formats
Codia AI accepts the most common image formats:
- PNG (recommended) — lossless, preserves crisp edges
- JPG / JPEG — works fine for clean captures, but compressed JPGs lose icon and small-text detail
- WebP — supported
- GIF — single frame converted (animated GIF picks the first frame)
- SVG — supported, but if you already have SVG you probably don't need conversion
- PDF — converts the first page; for multi-page see PDF to Figma
Best practice: use a fresh PNG captured from the source whenever possible. Photos of screens, re-encoded JPGs, and low-resolution thumbnails all reduce output quality.
How the Conversion Works
The pipeline runs four steps under the hood:
- Vision analysis. Codia AI Vision identifies regions of the image: text blocks, buttons, cards, navigation, images, icons, decorative elements.
- OCR. Text is extracted with positions, font sizes, and color information preserved.
- Layout reconstruction. The flat image is rebuilt as a Figma frame tree, with Auto Layout applied where the spacing and alignment pattern is clean.
- Component recognition. Repeated elements (cards, list rows, buttons in multiple states) are flagged for componentization.
The result is a Figma file you can actually edit — not a screenshot embedded inside a frame.
What Survives the Conversion
Usually clean
- Text content and font sizes — recovered via OCR
- Color values — fills sampled from the source
- Layout structure — boxes, rows, grids, columns
- Auto Layout — applied to common patterns (cards, lists, navigation)
- Image regions — extracted as image fills
- Simple icons — vectorized where recognized
- Buttons, inputs, and form fields — recognized as components when shape and styling are clean
Needs review
- Fonts — name is best-effort; missing fonts fall back, original name preserved
- Complex icons and illustrations — may come through as raster; vectorize manually or use Codia's vectorize option
- Overlapping elements — hardest to separate; may need cropping and re-running
- Gradients and effects — solid gradients fine, complex multi-stop or radial gradients approximated
Step-by-Step
- Choose your image. Best results come from clean PNG captures.
- Crop irrelevant area. Remove browser chrome, status bars, watermarks, and other elements you don't want in the Figma file.
- Upload to Codia AI (web app or Figma plugin).
- Run the conversion. A clean full screen takes about ten seconds.
- Open in Figma. Each conversion lands as a Frame with structured layers.
- Review and clean up. Check text, fonts, colors, components, Auto Layout.
- Componentize repeating elements so the file is useful for ongoing design work.
Use Cases by Source Type
UI Screenshot
The most common case. See the dedicated Screenshot to Figma guide for scenario-specific tips (mobile, dashboard, landing page, e-commerce).
Wireframe Image
Wireframes convert well — clean rectangles, clear labels, minimal styling. The result is a Figma file you can immediately apply a design system to.
Hand Sketch (Photographed)
Photograph the sketch on a flat surface with even lighting. Sketches with clear rectangles for components and readable handwriting convert into clean black-and-white Figma frames. Hand-drawn artistic illustration is a poor fit; structural sketches work well.
Mobile App Mockup PNG
Same workflow as a screenshot. If the mockup is at 1x, upload at 2x or 3x for cleaner icon recognition.
Marketing Asset / Banner
Banners and ad creatives convert into editable Figma frames. Heavy photo overlays and stylized typography may need manual cleanup, but the basic layout structure and text recovery work well.
Illustration / Brand Artwork
For illustrations, expect more raster than vector in the output. If you need editable vectors, Image to SVG is a complementary tool.
Image to Figma vs Screenshot to Figma vs Photo of a Screen
The three intents are closely related but not identical:
| Source | Tool | What to expect |
|---|---|---|
| Screenshot (PNG) | Codia AI | Highest fidelity — fresh capture, crisp edges, perfect OCR conditions. |
| Image (PNG/JPG/WebP) | Codia AI | Same pipeline; quality varies with source quality. |
| Photo of a screen (camera) | Codia AI | Works, but expect more cleanup — reflections, moiré, rotation hurt every step. |
If you have the option to capture a screenshot rather than photograph a screen, always prefer the screenshot.
What to Review After Conversion
Treat the output as a high-quality editable draft, not a finished design system. Review:
- Text. Editable? Line breaks correct? OCR confused any similar characters?
- Fonts. Substitutions look right?
- Colors. Mapped to your design tokens?
- Icons. Vectorized or replaceable?
- Components. Repeated elements promoted to Figma components?
- Auto Layout. Applied correctly? Responsive containers rebuilt?
API and Batch Processing
For volume (catalog migrations, design audits, automated ingestion), use the Visual Struct API. It accepts images and returns structured JSON your tooling can convert into Figma or feed into downstream design pipelines. Batch endpoints handle up to 1,000 images at a time.
FAQ
What's the difference between "image to Figma" and "screenshot to Figma"?
They're used interchangeably most of the time. "Image to Figma" is broader — any image input. "Screenshot to Figma" specifically implies UI screen captures. Codia handles both with the same workflow.
Can I really edit the text after conversion?
Yes. OCR extracts the text and the output is a real Figma text layer that you can edit like any other.
What if my image has handwriting?
Hand-printed letters in structural contexts (wireframe labels, callouts) usually OCR. Cursive handwriting is harder.
What if my image is low resolution?
Try upscaling to 2x or 3x before uploading. AI upscaling tools work; the goal is to give the conversion clearer pixel boundaries.
Can I convert an illustration into editable vectors?
For UI elements, yes. For artistic illustrations, Image to SVG is the better tool.
Is there a free tier?
Yes. Codia's free tier covers occasional conversions. Paid plans add volume, batch access, and team features.
Is there a Figma plugin?
Yes — install Codia AI Design from Figma Community.
Related Guides
- Screenshot to Figma: The Complete Guide
- Codia vs image.to.design: Detailed Screenshot-to-Figma Comparison
- Screenshot to Figma with Cursor and the Figma MCP Server
- Image to SVG: Convert PNG and JPG Logos into Editable Vectors
- PDF to Figma: Convert Static PDFs into Editable Design Files
- Visual Struct API: Convert UI Screenshots into Structured JSON