Audio and video · Independent · 21 Oct 2026

kaixxx/noScribe

Cutting edge AI technology for automated audio transcription. A nice GUI for OpenAIs Whisper and pyannote (speaker identification)

← Audio and video
noScribe: local audio transcription. Turns voice recordings into text on your own computer.

In simple English

This program turns your audio files and interviews into written text. It runs entirely on your own computer, so your private recordings never leave your machine. It can tell different voices apart so you know who spoke when. You do not pay anything to use it. It is free and open-source.

What it is

A desktop application with a visual interface for transcribing audio locally using artificial intelligence. It combines speech recognition and speaker identification tools into one simple package.

What it is good for

Journalists and researchers who need to transcribe long interviews without sending sensitive audio files to paid cloud services.

Stars2.2k
LicenceGPL-3.0
Latestv0.8 (2026-10-06)checked 21 Oct 2026
Last code change2026-10-20
Written inPython
Setup effort
2 / 5
Payoff
4 / 5
Good
  • Runs completely offline to keep your audio private.
  • Includes a built-in text editor to fix mistakes.
  • Recognises different speakers in the same recording.
Watch for
  • Requires a computer with enough memory and processing power.
  • Processing long audio files takes time on slower machines.
  • Setup may need extra steps depending on your operating system.
Replaces

paying for online transcription services or typing out audio recordings by hand

Works well with

Audacity (a free audio editor for trimming and cleaning up recordings before transcription)

Similar repositories
  • openai/whisper111k stars

    The underlying speech recognition engine, but without the ready-made visual interface.

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How to get it

Download the installer for Windows, macOS or Linux directly from the official website at noscribe.de.

Screenshots and video

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: Data & Research › User Research & Product Insights › Interviews.

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