What this tool does
CleanerPix removes text from images you own or are authorized to edit. It can erase captions, date stamps, subtitles, labels, annotations, price text, poster copy, and other text overlays when those edits are legitimate. After you mark the text, the AI rebuilds the pixels underneath, whether the text sits on a plain wall, a gradient, packaging, fabric, a menu background, or a detailed photo surface. The rest of the image stays outside the edit mask.
- Authorized marketing photos where old captions, date stamps, labels, or promotional text need to be removed before reuse.
- Product photos and design drafts where text overlays need to be cleared before localization, retouching, or layout updates.
- Personal photos with camera date stamps, event labels, subtitles, or social captions that distract from the subject.
CleanerPix vs Cleanup.pictures for Text Removal
Comparing browser text erasers? Both CleanerPix and Cleanup.pictures let you brush over unwanted text, captions, and date stamps; the main differences are free export size and how you pay.
| CleanerPix | Cleanup.pictures |
|---|
| Free edits | 3 as a guest, 5 per day when signed in | Unlimited images |
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| Free export size | Same size as your upload, up to 2048px on the long edge | 720p |
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| How you pay | One-time credit packs, no subscription | Pro subscription, $5/month or $36/year |
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| Try without sign-up | Yes | — |
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“—” means the information is not stated on their website. Checked on 2026-10-31. Sources: Cleanup.pictures homepage, Cleanup.pictures pricing.
Cleanup.pictures is a third-party product and name belonging to its owner. CleanerPix is not affiliated with Cleanup.pictures. Competitor details were checked on 2026-10-31 and may change.
Quick answer
CleanerPix is an online AI text removal tool for captions, dates, subtitles, and labels in authorized images. Brush the complete lettering, outline, and shadow to request a background fill. The generated area may need a retry on fine textures, and removing text does not transcribe or rewrite replacement typography.
Best for and not ideal for
| Best for | Not ideal for |
|---|
| Removing date stamps, captions, subtitles, labels, annotations, and price text. | Text that is only partly selected or hidden behind complex foreground objects. |
| Cleaning owned product photos, marketing images, posters, menus, and personal photos. | Forging receipts, IDs, payment screenshots, contracts, chats, or other records. |
| Edits where every letter, shadow, outline, and transparent text edge can be brushed. | Rewriting long text passages; this page is for removal and cleanup, not OCR editing. |
How the AI text removal works
Text removal works by combining a precise brush mask with generative reconstruction. First, you mark the full text area, including strokes, shadows, outlines, and antialiasing. CleanerPix then analyzes the visual context around the text and predicts what should continue behind it. The model pays attention to background lines, surface texture, lighting, color gradients, and object edges, then replaces the marked text with new pixels that match the surrounding image. The fill is generated rather than blurred; inspect it for smearing, broken lines, or mismatched texture before reuse.
CleanerPix compared with other options
- CleanerPix
- Best for removing selected text from images without Photoshop directly in the browser with a simple upload, brush, cleanup, and download workflow.
- Photoshop
- Best for professional manual retouching, layer work, and complex edits when you have editing experience and desktop software.
- Mobile retouch apps
- Useful for editing photos already on your phone. Brush controls, export limits, and features vary by app; check the result at the size you plan to use.
CleanerPix
