antirez/voxtral.c

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1738 stars · 121 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A pure C, zero-dependency inference implementation of Mistral's Voxtral Realtime 4B speech-to-text model, with a streaming C API and CLI for transcribing files, stdin pipes, or live microphone input. It also ships a self-contained Python reference implementation for understanding the model pipeline.

Use cases

• transcribe audio files to text locally
• real-time speech-to-text from microphone
• stream transcription of any audio format via ffmpeg
• embed speech recognition in C applications
• understand how the Voxtral model inference pipeline works
• run speech-to-text without Python or CUDA at inference time

When to choose

• you need dependency-free, self-contained speech-to-text inference in C
• you want streaming, low-latency transcription on Apple Silicon via MPS
• you want a readable reference implementation of the Voxtral model

When to avoid

• you need production-grade, battle-tested transcription accuracy
• you need GPU inference on CUDA or Linux-native fast backends
• you need to stress-test very long transcriptions with the KV cache

Facets

library · maturity experimental

speech-recognition llm-inference audio-processing machine-learning speech-processing machine-learning developer-tools cli cpp speech-to-text transcription voxtral pure-c streaming-inference mistral self-contained no-dependencies natural-language-processing macos linux

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markdown · JSON · MCP: product_card(name="antirez/voxtral.c")