Show HN: Scriber Pro – Offline AI transcription for macOS (scriberpro.cc)
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!
33 comments
[ 3.5 ms ] story [ 50.7 ms ] thread(Also, the text is completely illegible on your site.)
For example, could it support a video that included spoken Latin, ancient Greek, German, and Italian?
https://github.com/naveedn/audio-transcriber
I haven't tried a 4+ hour video with MacWhisper but I presume that would work the same.
Cool project, I am using ChatGPT for recording/summarising meetings but the limit there is 2 hours
The elapsed-time timestamps didn't correlate well with other data sources. I figured it was a mistake on my end, and just brushed it off.
What's the stack, if I may ask? (I believe Whisper-X does the diarization thing)
Thanks.
I'm using the browser built in transcription service plus downloading a model and running it via webgpu. No login. At the end of your meeting, you get a zip file with the audio, transcript and summary.
Actually I would be happy if it could just identify occurrences (timestamps) of a specific word or a small set of words.