ASR accuracy depends on audio quality, language, accent, and the model used. English with clean audio: ~95%+ accuracy. Heavy accents or background music: 70-85%. Non-English: 80-95% for major languages, lower for smaller ones.
For YouTube specifically: every video gets auto-transcribed for caption purposes. The transcripts are publicly accessible — click the three-dot menu on any video → "Show transcript". This is the same data we expose more cleanly through [/youtube-subtitle-downloader](/youtube-subtitle-downloader) and [/youtube-transcribe](/youtube-transcribe).
The 2026 state of the art is Whisper Large Turbo — runs entirely in the browser via WebGPU, transcribes a 10-minute video in ~3-5 minutes, handles non-English audio significantly better than YouTube's auto-generated captions. Our Plus tier uses Large Turbo; free tier uses Whisper Base (faster, less accurate).
Common questions
How accurate is YouTube's auto-transcription?
Related terms
Caption / subtitle
Captions (also called subtitles) are text overlays that transcribe spoken content for accessibility, translation, or sound-off viewing.
Metadata (video file metadata)
Metadata is the information about a video file that isn't the audio or video data itself — title, artist, duration, resolution, codec used, encoding date, GPS location, thumbnail.
VidPickr is a free, browser-based YouTube downloader. Every term in this glossary either describes how YouTube delivers video or why your downloads behave the way they do. Try the downloader →