How to Remove Text from Image in Figma (Design Workflow)
Remove text from images in Figma projects. Export, process with AI, and re-import for clean results. This guide covers both manual methods and the faster AI approach.
The Manual Way
Traditionally, you would need desktop software like Photoshop, GIMP, or Figma to do this. Here are the typical steps:
- Select the image frame in Figma
- Export it as PNG at 2x resolution
- Open the exported image in Photoshop or GIMP
- Use Clone Stamp or Content-Aware Fill to remove text
- Save the cleaned image
- Import it back into Figma to replace the original
This process typically takes 15-30 minutes per image and requires familiarity with the software. Results vary depending on your skill level.
The AI Way (3 Steps, 10 Seconds)
RemoveTexts.com uses an AI diffusion model that handles the entire process automatically:
- Upload your image in JPG, PNG, or WebP format (up to 10MB)
- AI processes the image automatically — detecting and removing all text while reconstructing the background
- Download the clean result in full resolution
Why AI Is Better for This Task
- Faster design workflow. Instead of switching to Photoshop and back, process the image in your browser in 10 seconds and drag it back into Figma.
- No Photoshop needed. Many Figma users do not have Photoshop. RemoveTexts works in the browser alongside Figma.
- Preserves design resolution. Export from Figma, process at full resolution, import back — no quality loss.
- Works for mockups and prototypes. Clean up placeholder text, stock photo watermarks, or unwanted text from design assets.
Manual vs AI: Quick Comparison
| Feature | Manual (Figma) | RemoveTexts AI |
|---|---|---|
| Time per image | 15-30 min | ~10 seconds |
| Skill required | Intermediate-Advanced | None |
| Background quality | Depends on skill | AI-generated, seamless |
| Cost | Software license | Free to try |
| Batch processing | Manual, one at a time | Upload multiple |
For most use cases, the AI approach produces equal or better results in a fraction of the time. The diffusion model generates contextually correct background content rather than copying adjacent pixels, which eliminates the common artifacts you see with manual clone stamp editing.
Pro tip: For images with very dense text covering most of the visual area, process text sections across multiple passes for optimal quality. The AI performs best when it has sufficient surrounding context for each section.
Try It Free — No Signup Required
No signup required. Upload your image and get results in seconds.
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