Video Text Remover is a browser-based AI tool that removes burned-in text, subtitles, captions, and watermarks from video files while reconstructing the background behind them. It runs entirely in the browser, supports MP4, MOV, WebM, and M4V files up to 500MB, and offers 30 free credits with no signup, watermark, or credit card required.
What is Video Text Remover?
Video Text Remover is a free-to-start, browser-based video editing tool that uses AI to detect and remove on-screen text from video files. Upload an MP4, MOV, WebM, or M4V video up to 500MB, the AI scans every frame, identifies text regions, and reconstructs the background pixels as if the text never existed. The output is a clean video with the original resolution, frame rate, and quality, downloadable with no watermark.
Key Features
- Auto Text Detection — AI scans every frame to find burned-in subtitles, TikTok captions, timestamp overlays, and watermarks without manual selection.
- Select Specific Areas — Manually choose regions of the video to target if you want to remove text only in a specific area.
- Standard & Advanced AI — Two processing modes (standard and advanced) let you balance speed and reconstruction quality.
- No Blur, Clean Background — Uses context-aware background reconstruction that matches colors, textures, and motion from surrounding frames, avoiding the smeared look of basic tools.
- All Video Formats Supported — Handles MP4, MOV, WebM, and M4V files up to 500MB, keeping the original resolution, frame rate, and quality.
- No Signup, 30 Free Credits — Every new user gets 30 free credits, each processing one video up to 60 seconds; no email or credit card required.
- No Watermark, No Compression — Downloads are not watermarked and are not recompressed.
Who is it for?
- Content creators cleaning up TikTok clips before reposting to Instagram Reels or YouTube Shorts.
- Video editors stripping hard-coded subtitles from stock footage or repurposed webinars.
- Anyone with accidental text overlays who needs to remove a timestamp or watermark without re-rendering the whole video.
What can you do with it?
- Remove captions from video — Strip hard-coded captions from downloaded tutorials or webinars, leaving the footage underneath untouched.
- Remove text from TikTok — Clean bouncing TikTok logos and on-screen caption text so clips can be posted cross-platform without the original branding.
- Remove watermark from video — Eliminate stock preview watermarks, old platform logos, and timestamp overlays with frame-by-frame precision.
How does it work?
The process is three steps: upload your video, let the AI detect and remove text regions while reconstructing the background, then download the clean result. There is no software to install and the entire job runs in your browser with no upload queue.
Pricing
Video Text Remover is freemium. New users receive 30 free credits, with each credit processing one video up to 60 seconds. When you need more, you can upgrade to unlimited access; no credit card is required to start.
FAQ
Will removing text blur my video?
No. Video Text Remover uses context-aware background reconstruction to rebuild the area behind the text with matching colors, textures, and motion from surrounding frames. The result looks natural rather than smeared or blurred, and the rest of the video keeps its original resolution and quality.
What video formats do you support?
The tool accepts MP4, MOV, WebM, and M4V files, and handles uploads up to 500MB. The output preserves the original resolution, frame rate, and quality with no forced compression or format conversion.
How do the 30 free credits work?
Every new user gets 30 free credits without signing up or providing a credit card. Each credit processes one video of up to 60 seconds. You can use them at your own pace, and when you run out, there is an option to upgrade for unlimited processing.
Is my video safe and private?
Processing happens directly in your browser, so your video is not uploaded to a server or exposed to a queue. This keeps your footage private and also means there are no upload delays or waiting times for standard processing.
