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Transcriber

Any audio, any video, any language, transcribed locally.

A local transcription tool built on faster-whisper. FFmpeg normalises every input to 16 kHz mono before the model sees it, so codec and container stop mattering, and voice-activity filtering removes the text Whisper otherwise hallucinates over silence.

A backend ladder means a small GPU degrades to a slower path instead of crashing, which is the difference between a tool that works on the hardware you have and one that does not.

How it is built

  • FFmpeg normalisation up front, so any container or codec is accepted.
  • Voice-activity filtering on by default to cut hallucinated text over silence.
  • A backend ladder so a 6 GB GPU falls back rather than failing.
  • Writes text, SRT and JSON from a single run.
  • Fully offline after the first model download.

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