diarization

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

Synchronized Translation for Videos. Video dubbing

Multi-backend whisper app. Blazing fast. Mac-arm optimized. Easy install. Input a local file or url and this service will transcribe it using Whisper AI. Completely private and Free 🤯🤯🤯

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.

Open source inference code for Rev's model

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

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

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.

Tool for automatic transcription and speaker diarization based on whisper and pyannote.

Record meetings and dictation on your Mac. Everything becomes plain Markdown files that Claude, Codex, or any AI can search. Free, open source, 100% local transcription.

Speaker identification powered by pyannote and resemblyzer

React Native TurboModule for Sherpa-ONNX offline on-device Speech Processing (STT/TTS/Diarization/VAD) completely offline on the device. Support for Android & iOS

A local LLM workhorse that keeps a memory of your workday. On-device meeting notes, dictation, autocomplete, and recall for macOS. GPLv3.

speech to text gui for different (e.g. Whisper, Voxtral) models and backends, including whisper.cpp, crispasar, mlx-whisper, faster-whisper, ctranslate2; applies pyannote for diarization

PAFTS : Library That Preprocessing Audio For TTS.

Easy to use Multi-Provider ASR/Speech To Text and NLP engine

ONNX speech pipeline library for ASR, diarization, VAD, and denoising