Whisper & Faster-Whisper standalone executables for those who don't want to bother with Python.

Synchronized Translation for Videos. Video dubbing

turnkey self-hosted offline transcription and diarization service with llm summary

一站式全自动字幕生成软件，下载、转录、翻译、压制全流程覆盖，无需人工介入 / One-stop automated subtitle generator. Handles downloading, transcription, translation, and hardcoding—zero human intervention required.

A fully local and private Speech-To-Text app with cross-platform support, speaker diarization, Audio Notebook mode, LM Studio integration, and both longform and live transcription.

UniSpeech - Large Scale Self-Supervised Learning for Speech

Open source inference code for Rev's model

Rust bindings to https://github.com/k2-fsa/sherpa-onnx

Gecko - A Tool for Effective Annotation of Human Conversations

Snap any video URL or audio file into plaintext. No GPU. No cloud. One command.

Very fast, accurate speaker diarization

Identify the emotion of multiple speakers in an Audio Segment

Simplified diarization pipeline using some pretrained models - audio file to diarized segments in a few lines of code

🎙️ Automatically transcribe audio/video into high-quality, speaker-specific Text-To-Speech datasets

pyannote audio diarization in rust

Python package for combining diarization system outputs.

Локальное и бесплатное распознавание речи с помощью OpenAI Whisper. Автоматизируйте расшифровку лекций и совещаний на вашем ПК без облачных сервисов и подписок

Speaker diarization for Python — "who spoke when?" CPU-only, no API keys, Apache 2.0. ~10.8% DER on VoxConverse, 8x faster than real-time.

Callytics is an advanced call analytics solution that leverages speech recognition and large language models (LLMs) technologies to analyze phone conversations from customer service and call centers.

Speaker diarization in Rust. 312–912x realtime on Apple Silicon, 50–121x on CUDA. Matches pyannote accuracy.