This repository provides GGUF quantized versions of OpenAI's Whisper-medium model for use with transcribe.cpp and other GGUF-compatible runtimes. It supports transcription in 99 languages and can run efficiently on consumer hardware without requiring cloud services.
Whisper Medium is a Voice, TTS & speech product. It focuses on running accurate multilingual speech recognition locally with reduced memory requirements. It is built as an open-source project for developers building offline transcription tools. Whisper Medium is open source under the MIT license. The product ships for the web and API.
Handy Computer builds and maintains Whisper Medium, and the product first shipped in 2026. Development happens publicly on GitHub with 1.4k stars and 419 commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 5 similar tools. Key capabilities include speech-to-Text, Multilingual Transcription, and GGUF Quantization.
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