AFS uses audio fingerprinting to keep subtitles in sync
AFS (Audio Fingerprint Sync) is a technical tool designed to synchronize subtitles with edited video content by using audio fingerprinting. The tool identifies the true source position of edited video segments, ensuring subtitles remain correctly timed despite cuts or alterations to the original video. This method prevents subtitles from progressively falling out of sync when video portions are removed.
Key Takeaways
- AFS identifies the true source position of edited video segments using audio fingerprinting.
- The demo shows three short scenes removed in the first 20 seconds of video.
- Without AFS, subtitles on the edited video fall progressively behind at each cut.
- The tool keeps a correctly timed SRT aligned even when portions of the original video are removed.
Why It Matters
For streaming workflows, AFS addresses a common post-edit problem: subtitles drifting after scene cuts. The demo shows that audio fingerprinting can preserve subtitle timing even when an edited version removes content from the original. That matters for any pipeline where a single SRT must survive multiple edit versions. The concrete signal to watch is whether AFS can handle more than the demo’s three cuts in the first 20 seconds while maintaining sync across longer, heavily edited assets.
Read full article at dariodf.github.io
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