DeepSpeech 是一个开源嵌入式(离线、设备端)语音转文本引擎,可在从 Raspberry Pi 4 到高性能 GPU 服务器的设备上实时运行。
on-device 开源项目推荐(1,333 个)
on-device 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 1,333 个仓库Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.
Mac 上已有的免费 AI。CLI 工具、OpenAI 兼容服务器和交互式聊天——全部通过 Apple Intelligence 在设备端运行。无需 API 密钥,无需云端,无需下载。
按文件内容搜索你的电脑:照片、PDF、文档、录音、视频和代码。在 Mac、Windows 和 Linux 上设备端运行,基于 Google DeepMind 的 EmbeddingGemma 2 构建。
本地优先的医疗 AI:在您掌控的硬件上进行临床 NER 和 HIPAA PII 去标识化。2,200+ 医疗模型、35 种由模型支持的 PII 语言,以及 Python、MLX、Android 和浏览器运行时。Apache-2.0 SDK。
On-device wake word detection powered by deep learning
您的电话/移动AI Agent / Claw,能够操作终端并在Android世界中执行广泛的任务||你的手机 AI 代理,她可以操作终端,也可以完成 Android的全球广泛任务
Local speech-to-text for macOS on-device AI, fully private, optional cloud
Fun-ASR speech recognition models, with native Hugging Face Transformers support for Fun-ASR-Nano and separate FunASR, vLLM and llama.cpp deployment paths.
AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML
Build AI agents that run 100% on-device. Sub-100ms latency on Qualcomm NPU. Zero cloud dependency.
App which allows you to use your health devices beyond subscriptions. Supports Workout Tracking, Nutrition Tracking, Wellness Excercise, Sleep, Recovery, Strain, and Many more.
实时语音助理-WebREC流媒体、更快耳语的ASB、本地LLM、Vui Nano(300 M)TTC。OpenAI实时API兼容。语音克隆,强行插入,4090上~9倍实时。阿帕奇2.0。
由深度学习驱动的设备内语音到意图引擎
On-device voice assistant platform powered by deep learning
On-device speech-to-text engine powered by deep learning
Free, open source voice dictation for macOS. On-device transcription with Apple's Speech framework. No cloud/no API keys/no account.
iPad-first, open-source iOS AI Agent with native on-device 3D/CAD editing, iPhone support and Android alpha. On-device Linux, terminal, Python/Node.js, Git and web previews; BYOK AI, Notes, Office, Canvas, voice, Skill Hub and supported local models on iOS. 开源设备端 AI 智能体工作台。
On-device AI SDKs for iOS, macOS, Android, and the web. Small, focused models that run fully offline in Swift, Kotlin, and JavaScript with Core ML, LiteRT, and WebAssembly.
Open-source AI meeting notes for Mac. Records mic + system audio with no bot, transcribes on-device or via OpenAI / Deepgram / Groq, identifies speakers offline, and writes summaries that fuse your notes with the transcript. Ask your notes and get cited answers. Tauri 2 + Rust + Swift.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/on-device。
- 该话题在 GitHub 上共有 1,333 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 7.7 万 Star,覆盖 6 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。