Why mdisbetter captions beat YouTube's auto-captions
YouTube auto-captions use Google's in-house speech recognition, which performs decently on simple English content with clean audio but struggles on: technical terminology (Kubernetes, GraphQL, OAuth often misrecognised), accented speech (especially non-native English), background noise (music, multiple speakers), uncommon vocabulary (medical, legal, scientific terms). Whisper-class models (what mdisbetter uses) typically outperform YouTube's auto-captions by 5-15 percentage points on these challenging cases, and roughly match on simple cases. For high-quality captions especially on technical content, our approach is consistently better.
Caption format workflow
For the captions-specific use case (importing into a video editor, uploading to your own video, accessibility compliance), you typically need SRT or VTT format. mdisbetter outputs Markdown with inline timestamps; convert to SRT either with a small script (10-15 lines of Python) or one ChatGPT prompt ("convert this timestamped Markdown to SRT subtitle format with 3-second cues"). For direct SRT generation, OpenAI's OSS Whisper CLI does this in one command: yt-dlp -x URL && whisper extracted.mp3 --output_format srt.
Common use cases for downloaded captions
Reuploading a video you have rights to, with better captions than YouTube's auto-captions provided. Translating captions into other languages for international audiences. Accessibility compliance for educational or government content (with human review pass for the legal threshold). Subtitle backup for offline reference. Editing captions for your own published videos to fix YouTube's mistakes. Generating captions for video you're embedding outside YouTube (Vimeo, Wistia, your own video player).
For non-YouTube videos with the same workflow
For Vimeo videos (which don't have YouTube-quality auto-captions), see /convert/vimeo-transcript-generator. For uploaded video files where you control the source, /convert/video-to-markdown handles the same workflow without the URL step.