YouTube Auto-Captions

YouTube auto-captions remain the most underused free transcription pipeline in podcasting. Upload an episode as unlisted, wait a few minutes, and Studio gives you SRT, VTT, or plain-text downloads with timestamps.

Accuracy on clean English speech is roughly Whisper-class, and the auto-translate layer covers dozens of languages off the same transcript with one click. For a podcaster cross-posting video to YouTube already, the marginal cost of generating a working transcript is zero.

The trade-offs are real but manageable. There is no speaker diarisation, so a two-host show needs a manual pass to label who said what. Punctuation drifts on overlapping speech or rapid delivery.

Proper nouns and technical terms degrade exactly where you would expect. None of that is unique to YouTube; it is the standard ceiling of any consumer-grade speech recognition stack. If your show stays audio-only, you need a real upload to get the transcript, which makes this pipeline less elegant.

For most podcasters, though, even a private YouTube channel used solely as a transcription engine is materially cheaper than paying per minute for a hosted service. The captions also stay editable in Studio if you want to clean before downloading. As of 2026, Google has steadily improved the underlying ASR — accuracy on conversational podcast audio now sits closer to paid services than it used to.