Remove Text from Image with Vidu
Remove text from image is an AI editing workflow that takes an image with captions, labels, or other overlaid text as input and returns a cleaner version without that text. It is useful for preparing photos for reuse, review, or the next creative step in Vidu.
What Is an AI Text Remover for Images?
An AI text remover helps clean visible words, captions, labels, or overlay text from an image so the picture looks ready for reuse. In Vidu, this workflow can support product images, social visuals, and source assets that need cleanup before the next edit.
How to Remove Text from an Image
Upload Your Image
Open Vidu’s AI image editor and choose the image you want to clean up, or upload a new file as the starting point for removing text from the image. If you want to shape the final result for a broader presentation, image generation drafts can help you plan the message around the image.
Set Prompt and Options
Add a reference image if needed, then enter a clear image editing prompt describing the text removal and any surrounding details to preserve, and adjust aspect ratio or resolution if required.
Create and Review
Click Create to generate the edited image, then preview the result and download it if the text has been removed cleanly and the image looks natural. If you want to refine the overall feel of the result, you can also consider the scene atmosphere in the next step.
Text Cleanup Workflow in Vidu
See how Vidu handles text cleanup, review the edited area, and move the cleaned image into the next step of your workflow or turn it into a text to image prompt for the next stage.
Vidu Versus Manual Cleanup
Compare how Vidu handles image text removal against a manual cleanup process, with attention to source image input, prompt guidance, visual consistency, and the final edit you expect to review.
| Decision Area | Vidu Image Editing | Manual Or Generic Workflow |
|---|---|---|
| Source image input | Upload one image as the starting point and edit directly from that source. | Open the image in a separate editor and rebuild the cleanup step by step. |
| Edit guidance | Describe the text removal change in a prompt and let the AI apply it to the image. | Rely on brush, clone, or erase tools to remove text by hand. |
| Reference alignment | Use the original image as the visual anchor so the edited version stays close to the source composition. | Match the original by eye, which can take more adjustment across the image. |
| Output review | Check whether captions, labels, or overlays are removed while the main subject still looks natural. | Inspect for leftover marks, blurred edges, or mismatched background patches. |
| Final reuse readiness | Get a cleaner image that is easier to pass into the next Vidu edit or content step. | May need extra touch-ups before the image feels ready for reuse. |
Marketplace Product Photo Refresh
Clean up product photos by removing labels, promo copy, or outdated overlays, then refine the image for catalogs, marketplaces, or campaign refreshes. A cleaner base image makes it easier to review brand fit, reuse the asset across channels, and explore product motion concepts without distracting text in the frame. This matters when you want product imagery to look current without rebuilding the asset from scratch.
Reusable Social Ad Visuals
Clean up social graphics that still carry outdated captions, promo copy, or campaign overlays so the visual can be judged on its design again. The result is a fresher, more shareable draft that also leaves room for prompt-based image edits when teams want to adjust the scene, style, or visual details after removing text. This use case matters when a strong post, story, or ad visual is worth reusing, but the text on top makes it feel stale or off-brand. It gives you a practical starting point for repurposing content with a clean, flexible base instead of rebuilding the asset from scratch.
Flexible Campaign Mockup Bases
Clean up branded visuals, mockups, and campaign artwork so the image is ready for a fresh design direction. Removing old text gives you a clearer base for review, making it easier to judge composition, spacing, and visual hierarchy before you add new copy or adapt the asset for another format. It matters when you want the source image to feel reusable instead of locked to one message.
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Frequently Asked
Questions
You can remove text from an image for free by using Vidu’s image to video or reference to video workflow to preview how a cleaned visual fits your project, then review the result in your current workspace. For example, a creator might check whether a product photo still looks natural after removing a caption. Vidu helps you test and refine visuals, so check your current account settings and the latest official product options for what’s available.
Start a Text Cleanup Pass Action
Use Vidu's image editing workflow to test text cleanup on a rights-cleared image, then review the result before adding it to a project or creative workflow.