Long-Form Podcast Transcription & Timestamp Logging
Pain Points (Public)
Podcast creators and editors struggle to manually transcribe multi-speaker audio recordings exceeding 30 to 60 minutes with synchronized speaker-change timecodes, making quote retrieval and post-production logging in formats like DOCX tedious and time-consuming.
Suggested Approach (Public)
Build an automated speech-to-text pipeline integrating Whisper for transcription and pyannote-audio for speaker diarization to generate clean speaker-segmented transcripts with precise timecodes and export them into structured DOCX files.
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Opportunity assessment PRO
Development brief PRO
- Target multi-speaker, 30-to-60+ minute interview podcasts needing clean transcripts and structured timestamped logs for SEO show notes.
- Audio file ingestion supporting multi-episode uploads and durations exceeding 60 minutes.
Competitor evidence PRO
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Public Demand Evidence · 3 task(s)
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