diarization

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

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 🤯🤯🤯

Synchronized Translation for Videos. Video dubbing

BYOK voice recording companion with ASR transcription, speaker diarization, AI summaries, and local ASR endpoint support.

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, offering multiple model backends, diarization & calendar mode - Available for Windows, macOS & Linux

UniSpeech - Large Scale Self-Supervised Learning for Speech

Open source inference code for Rev's model

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

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

Very fast, accurate speaker diarization

Gecko - A Tool for Effective Annotation of Human Conversations

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

Speaker diarization in Rust with pyannote-level accuracy. 1790–5970x realtime on NVIDIA GPUs, 430–910x on Apple Silicon.

pyannote audio diarization in rust

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.

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