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137 points rezivor | 1 comments | | HN request time: 0s | 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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mattfrommars ◴[] No.45592428[source]
What is your tech stack to make this? Is it end to end swift?
replies(1): >>45594633 #
rezivor ◴[] No.45594633[source]
Swift 37.0% C++ 26.5% C 19.8% Rust 4.7% Shell 4.4% Objective-C 1.7% Other 5.9%
replies(1): >>45595947 #
1. CaptainOfCoit ◴[] No.45595947[source]
What language do you have the model architecture and implementation in? Feel like it would be the biggest proportion of the codebase, curious if you did it in Swift?