Note
🚀 The new official website for noScribe: https://noscribe.de
Learn how to install and use the software, and find tips to improve transcription quality.
🌐 Available in English, German, Spanish, Italian, and Dutch.
Please update your links.
Warning
Somebody has registered the domain noscribe(dot)ai to sell transcription services. Stay away from this platform, I have nothing to do with it. The real noScribe is free and always will be. This is obviously an attempt to profit from the popularity of my software and the reputation it gained over the years. Very sad.
- An app to produce high quality transcripts of interviews for qualitative social research or journalistic use
- noScribe is free and open source (GPL-3.0), available for Windows, MacOS and Linux
- It runs completely locally on your computer, protecting the confidentiality of your interviews. No cloud, no worries
- It can distinguish between different speakers and understands around 60 languages (more or less, see below)
- It includes a nice editor to review, verify and correct the resulting transcript
- It is standing on the shoulders of giants: Whisper from OpenAI, faster-whisper by Guillaume Klein and pyannote from Hervé Bredin
(The transcript is from this interview which I did in May 2022 with the Russian sociologist Natalia Savelyeva.)
See the corresponding sections on my website: https://noscribe.de
Kai Dröge, PhD in sociology (with a background in computer science), qualitative researcher and teacher, Lucerne University for Applied Science (Switzerland) and Institute for Social Research, Frankfurt/M. (Germany).
NoScribe is free and always will be. However, developing it costs real money. I have purchased hardware for testing and pay Apple annually for a developer ID. If you would like to support this project, you can make a donation on Ko-Fi. Thanks!
Dröge, K. (2026). noScribe. AI-powered Audio Transcription (Version XXX) [Computer software]. https://github.com/kaixxx/noScribe
If you are interested in open source software for the analysis of qualitative data, take a look at QualCoder, where I am a regular contributor.