# Open-source dictation and transcription

5 open-source dictation and transcription rated against public privacy criteria.

1. [Buzz](https://privacyratings.com/speech-to-text/buzz/): B (87/100). Desktop app that transcribes and translates audio and video files or live microphone input offline using Whisper models. It can optionally use the OpenAI Whisper API instead.
2. [Handy](https://privacyratings.com/speech-to-text/handy/): B (87/100). Free, open-source desktop app for push-to-talk dictation. Speech is transcribed offline on the device with local Whisper or Parakeet models and typed into the active text field.
3. [Whisper](https://privacyratings.com/speech-to-text/whisper/): B (87/100). Open-source speech recognition model and Python command-line tool from OpenAI that transcribes and translates audio in many languages on the local computer.
4. [whisper.cpp](https://privacyratings.com/speech-to-text/whisper-cpp/): B (87/100). C/C++ port of OpenAI's Whisper speech recognition model that runs transcription on the CPU or GPU of the local device. Used as a library and command-line tool, and as the engine inside many dictation apps.
5. [Anarlog](https://privacyratings.com/speech-to-text/anarlog/): D (57/100). Open-source, local-first meeting notepad, formerly Hyprnote, that records device audio without a bot and creates transcripts and AI summaries. Transcription can run on the device on supported Macs or through a chosen cloud provider.

Source: https://privacyratings.com/open-source/speech-to-text/