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Home/Cloud & DevOps/Audio Chunking for Long-Form Transcription: Splitting and Stitching with ffmpeg + TypeScript
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Audio Chunking for Long-Form Transcription: Splitting and Stitching with ffmpeg + TypeScript

APIs that do speech-to-text — Groq Whisper, OpenAI Whisper, and friends — all have one thing in common: a file size limit. Groq's hard cap is 25MB. A typical one-hour interview at decent quality can easily be 80–150MB. If you just try to send that, you'll get a 413 or a rate-limit error before the t

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📅 Mar 21, 2026·⏱ 1 min read·Dev.to ↗
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