transcribe-video

To transcribe a YouTube video into a verbatim text transcript, provide the video URL to automatically extract captions or use the high-quality Whisper fallback, outputting a clean markdown transcript and metadata JSON file.

Getting accurate quotes from a podcast audio URL involves using an automated transcription process that extracts verbatim text, applying a high-quality fallback path for challenging audio to ensure proper noun spelling and citation-ready accuracy.

Yes, you need yt-dlp and ffmpeg installed to transcribe video URLs, as these dependencies handle the underlying audio extraction required to process the media and generate verbatim markdown transcripts.

Yes, you can use the Whisper path for transcribing audio with challenging background noise, which provides higher quality transcription results specifically when proper nouns need accurate spelling or when default captions fail.

Automatic video captioning handles minor typos in YouTube transcripts by using an auto-caption path by default that tolerates minor caption errors to deliver fast, complete, and verbatim markdown transcripts.

Transcribing an accessible audio URL generates two output files: a verbatim markdown transcript containing the text with metadata, and a separate JSON file capturing the transcription build metadata.