Yevideo watermark remover: detect marks and inpaint clean PNGs in minutes

On the Yevideo watermark remover workbench, upload a product shot, portrait, or campaign asset. Florence-2 builds a mask for each mark and LaMa inpainting rebuilds the covered area—the watermark remover keeps your subject pixels intact instead of redrawing the whole frame. Choose 1–5 watermarks per run at 2 credits each. Built for e-commerce cleanup, stock photos, and social creatives when you need reliable watermark removal in the browser.

Before watermark remover: photo with visible logo or text watermark
After watermark remover: clean image with mark removed via inpainting

Detect + inpaint: a watermark remover that does not redraw your whole image

The Yevideo watermark remover runs a two-step Replicate pipeline—tmappdev/img2watermarkmask (Florence-2) for mask detection, then dpakkk/image-object-removal (LaMa) to fill only the marked region. Unlike text-to-image or image-to-image redraws, this dedicated workflow preserves surrounding detail while stripping logos, corner marks, and text overlays.

Input: image with logo or text mark before cleanup
Output: mark removed, background rebuilt by inpainting

Multiple marks on one photo? This watermark remover handles 1–5 per run

Real assets often carry more than one logo or stamp. Select how many watermarks to remove (1–5) before you generate—the watermark remover runs one detect-and-inpaint pass per mark, and credits scale at 2 per watermark. Corner logos, text stamps, and stock marks all follow the same workflow when auto-detection fits your file.

Original image with watermark overlay
Inpainted clean result after mark removal

Where a browser-based watermark remover saves the most time

If your team repeatedly cleans product shots, creator thumbnails, or campaign stills, a dedicated watermark remover workbench beats one-off desktop sessions. Upload JPG, PNG, or WEBP, preview the result, download PNG, and move to the next asset—most jobs finish within a few minutes depending on queue and mark count.

  • E-commerce: run the watermark remover on listing photos before marketplace upload
  • Marketing: strip corner logos from composited stills for reuse across channels
  • Creators: clean thumbnails and cover art when you own the rights to edit
  • Design ops: hand off inpainted PNGs to Figma, Canva, or slide decks
Original photo with mark before processing
Final output with mark removed

Batch through assets and reuse results from your watermark remover feed

You do not need a retoucher on call for every SKU or campaign frame. Keep source files sharp, set mark count, generate, download, and repeat. Every watermark remover job lands in your feed with progress and a downloadable PNG—credits and mark count are shown up front so billing stays predictable for solo sellers and small teams.

Source image with watermark before cleanup
Source cleaned by LaMa inpainting

Who should use a watermark remover—and what does detect-and-inpaint deliver?

E-commerce sellers, marketers, designers, and creators who need to strip logos, corner marks, or text stamps choose the Yevideo watermark remover instead of clone-stamp sessions in Photoshop or full-image AI redraws.

Brand & marketing: Yevideo watermark remover example

Clean campaign stills without reshoots

Florence-2 detects overlay marks and LaMa rebuilds the covered pixels—so composited banners, offer strips, and display ads lose corner logos without regenerating the whole frame. The watermark remover keeps subject detail closer to your original upload.

How to use the Yevideo watermark remover in three steps

Upload, choose mark count, generate—then download a clean PNG:

Step 1
Upload JPG, PNG, or WEBP to the watermark remover
Step 2
Select 1–5 watermarks in the watermark remover (2 credits each) and click Generate
Step 3
Preview the inpainted result and download PNG for the next image

FAQ

Which models power the Yevideo watermark remover?

The workbench runs a two-step Replicate pipeline: Florence-2 mask detection (tmappdev/img2watermarkmask) and LaMa inpainting (dpakkk/image-object-removal). It is dedicated detect-and-inpaint—not text-to-image or full-image redraw—so subject detail stays closer to your upload.

How does this watermark remover differ from generative AI redraw?

A generative model may repaint the entire frame. Yevideo only fills the detected mark region, leaving surrounding pixels intact. That makes it better for listings and compositing where fidelity matters.

How many watermarks can I remove in one run?

Choose 1–5 marks before you generate. The watermark remover executes one detect-and-inpaint pass per selected mark. If your image has more overlays than you selected, run again on the output or increase the count on the next upload.

How are credits charged?

The watermark remover costs 2 credits per watermark you select. The form shows the total before you generate—for example, 3 marks = 6 credits. Failed jobs should not consume balance under current rules; see the live estimate on the generate panel.

What image formats are supported?

Upload JPG, PNG, or WEBP. Output is PNG saved to your assets. Use the highest-resolution source you have; sharper files help detection on logos and text stamps.

How long does watermark removal take?

Each watermark remover pass runs detect + inpaint on Replicate. Total time depends on image size, queue, and how many marks you selected—typically a few minutes for multi-mark jobs. Progress appears in the workbench feed while processing.

Can I remove watermarks from any image?

Only process images you have the right to edit. Do not remove copyright notices, mandatory attributions, or marks from content you do not own. This watermark remover is for legitimate cleanup of assets you control.

Why use Yevideo as your watermark remover instead of desktop tools?

The browser-based workflow needs no heavyweight install—upload, set mark count, and download PNG from the feed. Solo sellers and small teams can clean campaign assets on the same day without waiting on a retoucher.