Podcast transcript with speaker labels, chapters & SRT
Paste a podcast episode, YouTube video or direct audio link and get a transcript split by speaker (S1, S2 ...), chapters with timestamps, a summary, key points, and ready-to-use SRT and VTT subtitle files. Episodes up to 3 hours. Charged per audio minute; failed files are free.
Input
Output fields
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The Podcast Transcript with Speaker Diarization, Chapters & SRT Actor will start running based on the input automatically. You can also change all the input fields, like audio or video urls, number of speakers (optional), and more, to match your specific use case.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Podcast transcript with speaker labels, chapters & SRT" task via API.
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The 'speakers' field lists the detected speakers in the transcript, labeled as S1, S2, etc.
The 'chapters' output includes topic segments with corresponding start times, making it suitable for YouTube chapters.
The task provides a speaker-labeled transcription, clearly indicating who said what during the audio.
The task generates ready-to-use subtitles in SRT and VTT formats, complete with speaker tags.
The task can process audio files up to 3 hours in length, including podcasts and YouTube videos.
Yes, the task returns a summary and key points captured from the audio.