Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
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Updated
Sep 20, 2026 - Python
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Open-source SenseVoiceSmall model for Mandarin, Cantonese, English, Japanese, and Korean ASR, language ID, emotion recognition, and audio event detection.
FunASR-powered video transcription, subtitle generation, and LLM-assisted clipping tool with a local Gradio UI.
视频转字幕、字幕翻译、AI 配音与声音克隆、字幕烧录——免费开源的一站式桌面工具。基于 Whisper / FunASR 等本地模型离线语音转文字,批量处理 + 全平台 GPU 加速,跨 Windows / macOS / Linux。Free, open-source desktop app to generate, translate, dub & burn video subtitles — local Whisper speech-to-text, AI dubbing & voice cloning, offline, GPU-accelerated.
开源免费的 Wispr Flow 替代方案 | 集成FunASR本地模型和可配置大语言模型的下一代中文桌面语音工作流
Fun-ASR speech recognition models, with native Hugging Face Transformers support for Fun-ASR-Nano and separate FunASR, vLLM and llama.cpp deployment paths.
Real-time audio translation, captures system audio + mic, runs ASR (Whisper/SenseVoice), translates via LLM API with streaming display. Perfect for VTubers, livestreamers, and watching foreign content. Windows 实时音频翻译,ASR 语音识别后 LLM 流式翻译显示,适合 VTuber、主播和外语视频观看。
开箱即用的本地私有化部署语音服务,快速搭建Qwen3ASR/FunASR与Qwen3TTS/CosyVoice后端
Local-first meeting transcription — audio & transcripts never leave your machine. Live captions + upload diarization + voice matching.
视频/播客逐字稿 Skill:微信视频号/B站/抖音/小红书/YouTube/小宇宙 → 本地 FunASR 转录;播客自动说话人分离
Local-first AI meeting minutes workbench: FunASR speech-to-text + Ollama LLM, engineering-scene recognition, DOCX/PDF export, zero API keys, fully offline. 本地优先的智能会议纪要工作台:录音转写、场景识别、纪要导出全流程本地运行。
妙语 - 智能语音输入,妙语亦可生花。
园区访客登记 AI 语音 Agent:电话/浏览器/小程序三入口,对话采集车牌手机号 25 秒推企微访客卡 | voice agent, Twilio, WebRTC, FunASR, Qwen, FastAPI
AI native 的跨平台离线语音输入法
听记 (Tingji) — 本地会议录音转写与纪要,FunASR + LLM,数据不出本机。Local meeting transcription & minutes, runs entirely offline.
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