Speech Recognition GitHub Repositories (2026) · Open Source Tools

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Port of OpenAI's Whisper model in C/C++

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

A realtime voice runtime that keeps Agents talking, working, and present. Real-time Voice Runtime for AI Agents

🧠 Leon is your open-source personal assistant.

On-device Speech AI for Apple Silicon

Free, open-source, 100% offline voice dictation for Linux. Speak and type anywhere via whisper.cpp, Whisper & VOSK engines, GPU-accelerated, works on X11 + Wayland!

NeMo-Speech.cpp is a lightweight C++ inference runtime for Speech models

AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML

very fast speech-to-text, diarization, streaming (even in CPU) with NVIDIA Parakeet in Rust

Free, open-source, local-first dictation app for macOS. Hold a shortcut, speak, and text is typed into any app. On-device speech-to-text with Whisper, Parakeet and Apple speech. Private, offline, open-source Wispr Flow alternative.

End-to-End Speech Processing Toolkit

Fish Audio Drama 3 text to speech, natively in ComfyUI: voice cloning, dialogue and inline cues on cards from 8 GB, plus a native Qwen3-ASR. Built with Fish Audio.

Private and on-device speech recognition keyboard and service for Android.

Speech-to-text server framework with next-gen Kaldi

🎤 Lobe TTS - A high-quality & reliable TTS/STT library for Server and Browser

High Performance Serving Runtime For Interactive Super Intelligence System

Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.