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Remove watermarks, subtitles, text & logos from video. Preview eligible clips free; clean downloads use credits.

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Remove Subtitles from Video

Hardcoded subtitles are burned into the frames, so no video editor can just 'delete' them. Markswipe detects subtitle text with AI and reconstructs the area beneath it while preserving the clip's audio and duration. Free for videos up to 60 seconds.

Preview removal free

Free for MP4 videos up to 60 seconds and 100 MB — no sign-up needed.

Remove Subtitles from Video in the Editor

Upload your hardcoded-subtitle clip and leave Subtitles — Automatic selected. Typical subtitle placement needs no manual box.

Results from automatic hardcoded subtitle removal

Markswipe sends a hardcoded-subtitle clip through automatic text-region detection, then reconstructs the pixels beneath the detected lines. In validation, three subtitle samples with different footage passed the quality check: the subtitles were removed, the audio remained present and the output duration matched the input.

The result is reconstructed, not recovered from a hidden clean copy. Subtitles over simple lower-frame backgrounds usually provide better context than large lettering over faces, hands or rapid motion. A complex scene may leave a light fill artifact. Review the complete free preview, especially around cuts, before unlocking the clean file.

A real before-and-after subtitle removal result

This representative frame comes from a controlled 40-second Chinese hardcoded-subtitle test, not a customer case study. The advanced text-removal path removed the visible line, preserved the audio track, and returned an output with the same duration as the input.

A single frame cannot prove how every moment behaves. The full validation also checked motion and timing, but your own complete free preview remains the best evidence for your footage. Faces, fine detail and rapid movement behind text can still leave a reconstructed patch.

Before
Big Buck Bunny validation frame before a Chinese hardcoded subtitle was removed
After
The same Big Buck Bunny validation frame after automatic subtitle removal
Representative frame at 00:10. Source: Big Buck Bunny by copyright 2008 Blender Foundation / bigbuckbunny.org, CC BY 3.0. Changes: excerpted and cropped to 16:9, test subtitles added, processed with the advanced text-removal path, and frames resized to 960 × 540 WebP

Which subtitles can be removed from a video

Best for

  • Hardcoded subtitles permanently burned into the picture
  • One or two lines in the usual lower-frame subtitle region
  • Short MP4 clips where audio and timing should stay unchanged

Not necessary or not supported

  • A selectable subtitle track, which should be disabled or removed instead
  • Animated text that travels around the screen
  • Perfect recovery of faces or fine detail fully covered by large subtitles

Subtitle remover format, detection and output limits

Input
Free: MP4 up to 60 seconds and 100 MB. Prepaid: H.264 MP4 or MOV up to 300 seconds, 500 MB and 1080p; no HEVC, WebM or upscaling.
Detection
Automatic hardcoded-subtitle detection; no box is needed for typical subtitle placement.
Processing
Most jobs complete in about 2–7 minutes. Complexity and current load can affect timing.
Output
Audio and duration are preserved. Preview free at up to 720p with a watermark, then unlock the clean result at the processed source resolution.

How to remove hardcoded subtitles from a video

  1. 1

    Upload your video

    Upload a free MP4 up to 60 seconds and 100 MB, or sign in for prepaid H.264 MP4 or MOV processing up to 300 seconds, 500 MB and 1080p. Paid results keep the processed source size and are never upscaled.

  2. 2

    Let AI detect the subtitles

    Choose Subtitles and automatic detection finds the subtitle text region; no manual box is needed for typical placement.

  3. 3

    Preview and download

    Watch the free watermarked preview, then unlock the clean download at the processed source resolution.

Hardcoded subtitle removal questions

Can hardcoded subtitles be removed?
Yes. Hardcoded subtitles are part of the picture, so Markswipe detects the text region and reconstructs it from surrounding frames. Complex motion or detail can still leave a subtle fill artifact.
How accurate is the subtitle detection?
Automatic detection targets hardcoded subtitle text. Three different subtitle samples passed validation, but placement, motion and background complexity still affect the reconstruction, so check the free preview for your own clip.
Is the audio track preserved?
Yes. Validation confirmed that the audio remained present and output duration matched the input while the visual subtitle area was processed.
Will removing subtitles leave a blur band?
Typical subtitle text is reconstructed rather than covered with a simple blur. Subtitles on a near-full-width translucent background are a known rejection boundary and can leave a visible horizontal band; motion or detailed backgrounds can also leave fill artifacts. Check the preview before relying on the result.

Related subtitle and caption removers

  • Remove Captions from Video
  • Remove Text from Video
  • Remove Watermark from Video
  • Remove Logo from Video

Test automatic subtitle removal

Upload an MP4 up to 60 seconds, choose Subtitles, and inspect the complete preview with audio and timing preserved.

Preview removal free

Related Guides

  • Hardcoded or Soft Subtitles? A File-First Diagnosis