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137 points rezivor | 1 comments | | HN request time: 0.208s | source

Hey HN! Built this because I was tired of waiting hours for transcription services and didn't want to upload sensitive recordings to the cloud.

  Real metrics from my M1 Max: 4.5hr video file transcribed in 3 minutes 32
  seconds. Works completely offline.

   First 5 HN users who click the button on the page get it free. Literally promo code straight to the app sore  


  Key differences vs Rev/Otter:
  - No 2-hour file limits (handles any length)
  - Timecodes stay accurate on long files (no drift from chunking)
  - Supports MP3, WAV, MP4, MOV, M4A, FLAC
  - Exports to SRT, VTT, JSON, PDF, DOCX, CSV, Markdown

  Built for macOS. Happy to answer questions!
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nvdnadj92 ◴[] No.45591771[source]
I vibecoded a similar app. Here’s the open source link, if folks want to build their own:

https://github.com/naveedn/audio-transcriber

replies(1): >>45592000 #
rezivor ◴[] No.45592000[source]
Slower
replies(2): >>45592042 #>>45592574 #
1. nvdnadj92 ◴[] No.45592574[source]
Yes, but by a negligible margin. My program is designed for multi-track audio, which means I run this in parallel on multiple 3 hour recordings, and get results in 12 minutes.

You haven’t shared any architectural details. What model? What size? How can anyone be sure that what you’re building is truly offline?