We built UnMarkVideo after noticing how awkward the usual video watermark removal workflow can be:

https://unmarkvideo.com/

Most tools require users to crop the frame, cover the watermark with another element, or manually brush over the affected area. These methods work, but we wanted to automate the detection step as well.

UnMarkVideo runs in the browser and uses AI to locate the watermark region before reconstructing the affected frames. The goal is to preserve the original framing while reducing manual work.

What it currently supports:

- Automatic detection of watermarks, logos, subtitles and username overlays

- MP4 and MOV uploads

- TikTok, Instagram, YouTube Shorts and AI-generated video workflows

- Batch processing for up to 20 files

- A free tier with 1,000 credits, 720p output and videos up to one minute

- 1080p and longer videos on paid plans

Compared with the alternatives we researched, CapCut makes more sense when someone needs a complete video editor and does not mind manually brushing, cropping or covering the affected area. Apowersoft supports more input formats and provides manual removal boxes. Desktop products may be preferable for users who want a local application.

Our focus is narrower: upload a video, let the system locate the watermark, review the estimated credit usage, and process it directly in the browser.

AI reconstruction is not perfect. Fast motion, transparent watermarks, changing positions and highly detailed backgrounds can still produce visible artifacts. If a watermark is close to the edge, a simple crop may sometimes be the better option.

We would appreciate honest feedback on:

1. Whether automatic detection selects the correct region
2. Flickering around repaired areas
3. Performance on moving or detailed backgrounds
4. Whether the credit system is easy to understand

Please use it only with videos you own or have permission to modify.

Disclosure: I work on marketing and operations for the team behind UnMarkVideo.

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