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How to transcribe audio locally with whisperfile with Llamafile

Use whisperfile, the single-file speech-to-text tool bundled with Llamafile, to transcribe recordings offline.

Short answer: Open the Whisperfile docs linked from the README; then download a whisperfile as described there; run it on a recording and save the transcript. All steps.

Who it is forA journalist or student who needs transcripts of interviews without uploading audio.

The problemCloud transcription means sending private recordings to a third party, and local Whisper setups are fiddly.

The outcomeText transcripts produced on your own machine from one executable.

What you need first

  • macOS, Linux, BSD or Windows on most CPU architectures
  • Disk space and RAM for the model you download
  • On Windows, only executables under 4GB run directly

Steps

  1. Open the Whisperfile docs linked from the README
  2. Download a whisperfile as described there
  3. Run it on a recording and save the transcript
  4. Compare a short clip first to check accuracy for your accent and audio quality

Prompt for your agent

Following the mozilla-ai/llamafile whisperfile docs, set up whisperfile and transcribe <audio file> locally. Save the transcript as <name>.txt and note any sections that came out unclear.

Caveat. Version 0.10 uses a new build system and may lack some features from older releases; older versions stay on the releases page.

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Using the Deduped MCP, get the setup steps for mozilla-ai/llamafile and "Transcribe audio locally with whisperfile"

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claude mcp add --transport http deduped https://dedupedai.com/mcp

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