[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-tmoroney--auto-subs":3,"tool-tmoroney--auto-subs":64},[4,17,27,35,43,56],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":16},3808,"stable-diffusion-webui","AUTOMATIC1111\u002Fstable-diffusion-webui","stable-diffusion-webui 是一个基于 Gradio 构建的网页版操作界面，旨在让用户能够轻松地在本地运行和使用强大的 Stable Diffusion 图像生成模型。它解决了原始模型依赖命令行、操作门槛高且功能分散的痛点，将复杂的 AI 绘图流程整合进一个直观易用的图形化平台。\n\n无论是希望快速上手的普通创作者、需要精细控制画面细节的设计师，还是想要深入探索模型潜力的开发者与研究人员，都能从中获益。其核心亮点在于极高的功能丰富度：不仅支持文生图、图生图、局部重绘（Inpainting）和外绘（Outpainting）等基础模式，还独创了注意力机制调整、提示词矩阵、负向提示词以及“高清修复”等高级功能。此外，它内置了 GFPGAN 和 CodeFormer 等人脸修复工具，支持多种神经网络放大算法，并允许用户通过插件系统无限扩展能力。即使是显存有限的设备，stable-diffusion-webui 也提供了相应的优化选项，让高质量的 AI 艺术创作变得触手可及。",162132,3,"2026-04-05T11:01:52",[13,14,15],"开发框架","图像","Agent","ready",{"id":18,"name":19,"github_repo":20,"description_zh":21,"stars":22,"difficulty_score":23,"last_commit_at":24,"category_tags":25,"status":16},1381,"everything-claude-code","affaan-m\u002Feverything-claude-code","everything-claude-code 是一套专为 AI 编程助手（如 Claude Code、Codex、Cursor 等）打造的高性能优化系统。它不仅仅是一组配置文件，而是一个经过长期实战打磨的完整框架，旨在解决 AI 代理在实际开发中面临的效率低下、记忆丢失、安全隐患及缺乏持续学习能力等核心痛点。\n\n通过引入技能模块化、直觉增强、记忆持久化机制以及内置的安全扫描功能，everything-claude-code 能显著提升 AI 在复杂任务中的表现，帮助开发者构建更稳定、更智能的生产级 AI 代理。其独特的“研究优先”开发理念和针对 Token 消耗的优化策略，使得模型响应更快、成本更低，同时有效防御潜在的攻击向量。\n\n这套工具特别适合软件开发者、AI 研究人员以及希望深度定制 AI 工作流的技术团队使用。无论您是在构建大型代码库，还是需要 AI 协助进行安全审计与自动化测试，everything-claude-code 都能提供强大的底层支持。作为一个曾荣获 Anthropic 黑客大奖的开源项目，它融合了多语言支持与丰富的实战钩子（hooks），让 AI 真正成长为懂上",140436,2,"2026-04-05T23:32:43",[13,15,26],"语言模型",{"id":28,"name":29,"github_repo":30,"description_zh":31,"stars":32,"difficulty_score":23,"last_commit_at":33,"category_tags":34,"status":16},2271,"ComfyUI","Comfy-Org\u002FComfyUI","ComfyUI 是一款功能强大且高度模块化的视觉 AI 引擎，专为设计和执行复杂的 Stable Diffusion 图像生成流程而打造。它摒弃了传统的代码编写模式，采用直观的节点式流程图界面，让用户通过连接不同的功能模块即可构建个性化的生成管线。\n\n这一设计巧妙解决了高级 AI 绘图工作流配置复杂、灵活性不足的痛点。用户无需具备编程背景，也能自由组合模型、调整参数并实时预览效果，轻松实现从基础文生图到多步骤高清修复等各类复杂任务。ComfyUI 拥有极佳的兼容性，不仅支持 Windows、macOS 和 Linux 全平台，还广泛适配 NVIDIA、AMD、Intel 及苹果 Silicon 等多种硬件架构，并率先支持 SDXL、Flux、SD3 等前沿模型。\n\n无论是希望深入探索算法潜力的研究人员和开发者，还是追求极致创作自由度的设计师与资深 AI 绘画爱好者，ComfyUI 都能提供强大的支持。其独特的模块化架构允许社区不断扩展新功能，使其成为当前最灵活、生态最丰富的开源扩散模型工具之一，帮助用户将创意高效转化为现实。",107662,"2026-04-03T11:11:01",[13,14,15],{"id":36,"name":37,"github_repo":38,"description_zh":39,"stars":40,"difficulty_score":23,"last_commit_at":41,"category_tags":42,"status":16},3704,"NextChat","ChatGPTNextWeb\u002FNextChat","NextChat 是一款轻量且极速的 AI 助手，旨在为用户提供流畅、跨平台的大模型交互体验。它完美解决了用户在多设备间切换时难以保持对话连续性，以及面对众多 AI 模型不知如何统一管理的痛点。无论是日常办公、学习辅助还是创意激发，NextChat 都能让用户随时随地通过网页、iOS、Android、Windows、MacOS 或 Linux 端无缝接入智能服务。\n\n这款工具非常适合普通用户、学生、职场人士以及需要私有化部署的企业团队使用。对于开发者而言，它也提供了便捷的自托管方案，支持一键部署到 Vercel 或 Zeabur 等平台。\n\nNextChat 的核心亮点在于其广泛的模型兼容性，原生支持 Claude、DeepSeek、GPT-4 及 Gemini Pro 等主流大模型，让用户在一个界面即可自由切换不同 AI 能力。此外，它还率先支持 MCP（Model Context Protocol）协议，增强了上下文处理能力。针对企业用户，NextChat 提供专业版解决方案，具备品牌定制、细粒度权限控制、内部知识库整合及安全审计等功能，满足公司对数据隐私和个性化管理的高标准要求。",87618,"2026-04-05T07:20:52",[13,26],{"id":44,"name":45,"github_repo":46,"description_zh":47,"stars":48,"difficulty_score":23,"last_commit_at":49,"category_tags":50,"status":16},2268,"ML-For-Beginners","microsoft\u002FML-For-Beginners","ML-For-Beginners 是由微软推出的一套系统化机器学习入门课程，旨在帮助零基础用户轻松掌握经典机器学习知识。这套课程将学习路径规划为 12 周，包含 26 节精炼课程和 52 道配套测验，内容涵盖从基础概念到实际应用的完整流程，有效解决了初学者面对庞大知识体系时无从下手、缺乏结构化指导的痛点。\n\n无论是希望转型的开发者、需要补充算法背景的研究人员，还是对人工智能充满好奇的普通爱好者，都能从中受益。课程不仅提供了清晰的理论讲解，还强调动手实践，让用户在循序渐进中建立扎实的技能基础。其独特的亮点在于强大的多语言支持，通过自动化机制提供了包括简体中文在内的 50 多种语言版本，极大地降低了全球不同背景用户的学习门槛。此外，项目采用开源协作模式，社区活跃且内容持续更新，确保学习者能获取前沿且准确的技术资讯。如果你正寻找一条清晰、友好且专业的机器学习入门之路，ML-For-Beginners 将是理想的起点。",84991,"2026-04-05T10:45:23",[14,51,52,53,15,54,26,13,55],"数据工具","视频","插件","其他","音频",{"id":57,"name":58,"github_repo":59,"description_zh":60,"stars":61,"difficulty_score":10,"last_commit_at":62,"category_tags":63,"status":16},3128,"ragflow","infiniflow\u002Fragflow","RAGFlow 是一款领先的开源检索增强生成（RAG）引擎，旨在为大语言模型构建更精准、可靠的上下文层。它巧妙地将前沿的 RAG 技术与智能体（Agent）能力相结合，不仅支持从各类文档中高效提取知识，还能让模型基于这些知识进行逻辑推理和任务执行。\n\n在大模型应用中，幻觉问题和知识滞后是常见痛点。RAGFlow 通过深度解析复杂文档结构（如表格、图表及混合排版），显著提升了信息检索的准确度，从而有效减少模型“胡编乱造”的现象，确保回答既有据可依又具备时效性。其内置的智能体机制更进一步，使系统不仅能回答问题，还能自主规划步骤解决复杂问题。\n\n这款工具特别适合开发者、企业技术团队以及 AI 研究人员使用。无论是希望快速搭建私有知识库问答系统，还是致力于探索大模型在垂直领域落地的创新者，都能从中受益。RAGFlow 提供了可视化的工作流编排界面和灵活的 API 接口，既降低了非算法背景用户的上手门槛，也满足了专业开发者对系统深度定制的需求。作为基于 Apache 2.0 协议开源的项目，它正成为连接通用大模型与行业专有知识之间的重要桥梁。",77062,"2026-04-04T04:44:48",[15,14,13,26,54],{"id":65,"github_repo":66,"name":67,"description_en":68,"description_zh":69,"ai_summary_zh":69,"readme_en":70,"readme_zh":71,"quickstart_zh":72,"use_case_zh":73,"hero_image_url":74,"owner_login":75,"owner_name":76,"owner_avatar_url":77,"owner_bio":78,"owner_company":79,"owner_location":80,"owner_email":79,"owner_twitter":79,"owner_website":79,"owner_url":81,"languages":82,"stars":116,"forks":117,"last_commit_at":118,"license":119,"difficulty_score":120,"env_os":121,"env_gpu":122,"env_ram":123,"env_deps":124,"category_tags":136,"github_topics":137,"view_count":23,"oss_zip_url":79,"oss_zip_packed_at":79,"status":16,"created_at":154,"updated_at":155,"faqs":156,"releases":187},3172,"tmoroney\u002Fauto-subs","auto-subs","Instantly generate AI-powered subtitles on your device. Works standalone or connects to DaVinci Resolve.","AutoSubs 是一款能在本地设备上即时生成 AI 字幕的桌面工具，支持独立运行或与专业剪辑软件 DaVinci Resolve 无缝集成。它主要解决了视频创作者在制作字幕时面临的痛点：传统手动打字效率低下，而在线云服务往往涉及隐私泄露风险或高昂的订阅费用。\n\n无论是需要快速为社交媒体视频添加字幕的内容创作者、追求高效工作流的视频编辑师，还是注重数据隐私的普通用户，都能通过 AutoSubs 实现“一键生成”高质量字幕。用户只需拖入音视频文件，即可自动获得包含精准时间戳和说话人区分（带颜色标记）的字幕文件，并支持导出为 SRT 格式或直接导入剪辑软件。\n\n其独特的技术亮点在于完全本地化运行。基于 Tauri 架构，AutoSubs 结合了 React 前端与 Rust 后端的高性能优势，直接在用户电脑上调用 Whisper、Parakeet 等先进 AI 模型进行转录和说话人分离，无需上传任何数据到云端，既保证了处理速度，又确保了内容安全。此外，它还提供了丰富的自定义选项，如多语言支持和针对特定说话人的样式调整，让字幕制作变得简单而专业。","# AutoSubs – Subtitles Made Simple\n\nCreate high‑quality subtitles with **one click**. AutoSubs delivers **fast, accurate, and fully customisable** subtitles in a sleek, intuitive interface — works standalone or integrated with DaVinci Resolve.\n\n[![Downloads](https:\u002F\u002Fimg.shields.io\u002Fendpoint?url=https:\u002F\u002Ftom-moroney.com\u002Frelease-tracker\u002Fdata\u002Fbadge-downloads.json)](https:\u002F\u002Ftom-moroney.com\u002Frelease-tracker\u002F)\n[![Weekly Active Users](https:\u002F\u002Fimg.shields.io\u002Fendpoint?url=https:\u002F\u002Ftom-moroney.com\u002Frelease-tracker\u002Fdata\u002Fbadge-weekly-users.json)](https:\u002F\u002Ftom-moroney.com\u002Frelease-tracker\u002F)\n[![Ask DeepWiki](https:\u002F\u002Fdeepwiki.com\u002Fbadge.svg)](https:\u002F\u002Fdeepwiki.com\u002Ftmoroney\u002Fauto-subs)\n\n### 📥 One‑Click Installer: [Windows](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-windows-x86_64.exe) ✨ [macOS (Apple Silicon)](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-Mac-ARM.pkg) ✨ [macOS (Intel)](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-Mac-Intel.pkg)\n\n### 🐧 [Linux (.deb): see install commands below](#quick-start)\n\n\u003Ca href=\"https:\u002F\u002Fwww.buymeacoffee.com\u002Ftmoroney\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fcdn.buymeacoffee.com\u002Fbuttons\u002Fv2\u002Fdefault-yellow.png\" alt=\"Buy Me A Coffee\" style=\"height: 60px !important;width: 217px !important;\" >\u003C\u002Fa>\n\n---\n\n## What AutoSubs Does\n\nAutoSubs runs **AI transcription models locally** on your machine — no cloud, no subscription. Drop in any audio or video file, and it produces accurate, timestamped subtitles with speaker labels.\n\n**Core capabilities:**\n- Fast, accurate transcription in many languages\n- Speaker diarization with automatic labeling and colors\n- Translation to English (more languages coming)\n- Export to SRT, plain text, or directly into DaVinci Resolve\n- Per-speaker subtitle styling (color, outline, border) when using Resolve\n\nGenerate Subtitles & Label Speakers |  Advanced Settings\n:-------------------------:|:-------------------------:\n\u003Cimg width=\"800\" alt=\"Transcription Page\" src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Ftmoroney_auto-subs_readme_93134202a247.png\"> | \u003Cimg width=\"800\" alt=\"Advanced Settings\" src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Ftmoroney_auto-subs_readme_327261274c99.png\">\n\n---\n\n## Architecture Overview\n\nAutoSubs is a [Tauri](https:\u002F\u002Ftauri.app) desktop app — a **React + TypeScript** frontend backed by a **Rust** engine, packaged as a native app for Windows, macOS, and Linux.\n\n```mermaid\ngraph TB\n    subgraph Frontend [\"Frontend (React + TypeScript)\"]\n        UI[UI Components]\n        CTX[State Contexts\\nTranscript · Models · Progress · Settings]\n        UI \u003C--> CTX\n    end\n\n    subgraph Tauri [\"Tauri Bridge\"]\n        IPC[IPC Commands + Events]\n    end\n\n    subgraph Backend [\"Rust Backend\"]\n        API[Command Handlers]\n        AP[Audio Preprocessor]\n        API --> AP\n    end\n\n    subgraph Engine [\"Transcription Engine\"]\n        EM[Engine Manager]\n        EM --> W[Whisper]\n        EM --> P[Parakeet \u002F Moonshine]\n        EM --> D[Pyannote Diarization]\n        EM --> FMT[Formatter\\nline breaking · timing · CPS]\n        EM --> TR[Translator]\n    end\n\n    subgraph External [\"External\"]\n        FF[FFmpeg Sidecar]\n        HF[HuggingFace Hub\\nmodel downloads]\n    end\n\n    subgraph Resolve [\"DaVinci Resolve (Optional)\"]\n        LUA[AutoSubs.lua Script]\n    end\n\n    Frontend \u003C--> Tauri\n    Tauri \u003C--> Backend\n    Backend --> Engine\n    AP --> FF\n    Engine --> HF\n    LUA \u003C-.->|IPC| Tauri\n```\n\n**How a transcription works end-to-end:**\n1. User selects a file and clicks Transcribe\n2. Rust backend preprocesses audio via FFmpeg (normalization, format conversion)\n3. Transcription engine runs the chosen AI model (Whisper \u002F Parakeet \u002F Moonshine) locally\n4. Optionally runs Pyannote for speaker diarization and Google Translate for translation\n5. Formatter applies line-breaking, timing constraints, and language-specific rules\n6. Results stream back to the UI in real time; user edits and exports\n\n---\n\n## Quick Start\n\n### 1) Download & Install\n\n**🪟 Windows + 🍎 macOS:**\nDownload the installer for your platform from the links above and follow the prompts.\n\n**🐧 Linux (.deb):**\n```bash\nwget https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-linux-x86_64.deb\nsudo apt install .\u002FAutoSubs-linux-x86_64.deb\n# If you see dependency errors, run:\nsudo dpkg -i AutoSubs-linux-x86_64.deb && sudo apt -f install\n```\n\n### 2) Choose a Workflow\n\n#### Standalone Mode\n1. Launch AutoSubs and select an audio\u002Fvideo file.\n2. Pick your model and language\u002Ftranslation options.\n3. Click **Transcribe**. Edit speakers\u002Fsubtitles as needed.\n4. Export as SRT, text, or copy to clipboard.\n\n#### DaVinci Resolve Mode\n1. Open DaVinci Resolve → **Workspace → Scripts → AutoSubs**.\n2. Select your timeline\u002Faudio source and settings.\n3. Click **Transcribe**. Edit speakers\u002Fsubtitles as needed.\n4. Send styled subtitles back to Resolve.\n\n> [!WARNING]\n> AutoSubs will not work with the Mac App Store version of DaVinci Resolve. Re-install from the [official website](https:\u002F\u002Fwww.blackmagicdesign.com\u002Fproducts\u002Fdavinciresolve\u002F) if needed.\n\n---\n\n## What's New in V3\n- **New, cleaner UI** — easier to use and more consistent\n- **Faster + lighter** — ~3× lower idle memory on a new Rust backend\n- **Smarter models** — more choices, easy delete, and clear status badges\n- **Better timing** — accurate with variable frame rates and drop-frame\n- **Standalone mode** — transcribe any file, no Resolve required\n- **Powerful editors** — modern subtitle editor and advanced per-speaker styling\n\n---\n\n## Contributing\n\nPRs are welcome! For a full breakdown of the codebase before diving in, see the **[AutoSubs DeepWiki](https:\u002F\u002Fdeepwiki.com\u002Ftmoroney\u002Fauto-subs)**.\n\n### Dev Setup\n\n1. Clone the repo.\n2. Install prerequisites: Node.js + Rust toolchain — see [tauri.app](https:\u002F\u002Ftauri.app).\n3. Start the app in dev mode:\n   ```bash\n   cd AutoSubs-App\n   npm install\n   npm run tauri dev\n   ```\n4. For Resolve integration during development, copy `AutoSubs-App\u002Fsrc-tauri\u002Fresources\u002FTesting-AutoSubs.lua` into your Resolve scripts folder:\n   - **Windows:** `%appdata%\u002FBlackmagic Design\u002FDaVinci Resolve\u002FSupport\u002FFusion\u002FScripts\u002FUtility`\n   - **macOS:** `\u002FLibrary\u002FApplication Support\u002FBlackmagic Design\u002FDaVinci Resolve\u002FFusion\u002FScripts\u002FUtility`\n\n   Then change the path in `Testing-AutoSubs.lua` to point to your local AutoSubs installation and open it from Resolve via **Workspace → Scripts → Testing-AutoSubs**.\n\nBackend code lives under `AutoSubs-App\u002Fsrc-tauri\u002F`.\n\n---\n\n## Deep Dive\n\nFor detailed architecture docs, component breakdowns, and agentic Q&A on any part of the codebase, visit **[AutoSubs on DeepWiki](https:\u002F\u002Fdeepwiki.com\u002Ftmoroney\u002Fauto-subs)**.\n","# AutoSubs – 字幕制作，简单高效\n\n只需**一键**即可创建高质量字幕。AutoSubs 在简洁直观的界面中提供**快速、准确且完全可定制**的字幕——既可以独立运行，也能与 DaVinci Resolve 集成。\n\n[![下载量](https:\u002F\u002Fimg.shields.io\u002Fendpoint?url=https:\u002F\u002Ftom-moroney.com\u002Frelease-tracker\u002Fdata\u002Fbadge-downloads.json)](https:\u002F\u002Ftom-moroney.com\u002Frelease-tracker\u002F)\n[![每周活跃用户](https:\u002F\u002Fimg.shields.io\u002Fendpoint?url=https:\u002F\u002Ftom-moroney.com\u002Frelease-tracker\u002Fdata\u002Fbadge-weekly-users.json)](https:\u002F\u002Ftom-moroney.com\u002Frelease-tracker\u002F)\n[![Ask DeepWiki](https:\u002F\u002Fdeepwiki.com\u002Fbadge.svg)](https:\u002F\u002Fdeepwiki.com\u002Ftmoroney\u002Fauto-subs)\n\n### 📥 一键安装程序：[Windows](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-windows-x86_64.exe) ✨ [macOS (Apple Silicon)](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-Mac-ARM.pkg) ✨ [macOS (Intel)](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-Mac-Intel.pkg)\n\n### 🐧 [Linux (.deb): 请参阅下方的安装命令](#quick-start)\n\n\u003Ca href=\"https:\u002F\u002Fwww.buymeacoffee.com\u002Ftmoroney\" target=\"_blank\">\u003Cimg src=\"https:\u002F\u002Fcdn.buymeacoffee.com\u002Fbuttons\u002Fv2\u002Fdefault-yellow.png\" alt=\"Buy Me A Coffee\" style=\"height: 60px !important;width: 217px !important;\" >\u003C\u002Fa>\n\n---\n\n## AutoSubs 的功能\n\nAutoSubs 在您的本地机器上运行**AI 转录模型**——无需云端，无需订阅。只需导入任何音频或视频文件，它就能生成带有时间戳和发言者标签的精准字幕。\n\n**核心功能：**\n- 多种语言的快速、准确转录\n- 发言人分离，并自动添加标签和颜色\n- 支持翻译为英语（更多语言即将推出）\n- 可导出为 SRT 格式、纯文本，或直接导入 DaVinci Resolve\n- 使用 Resolve 时，支持按发言者自定义字幕样式（颜色、轮廓、边框）\n\n生成字幕并标注发言者 | 高级设置\n:-------------------------:|:-------------------------:\n\u003Cimg width=\"800\" alt=\"转录页面\" src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Ftmoroney_auto-subs_readme_93134202a247.png\"> | \u003Cimg width=\"800\" alt=\"高级设置\" src=\"https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Ftmoroney_auto-subs_readme_327261274c99.png\">\n\n---\n\n## 架构概览\n\nAutoSubs 是一个基于 [Tauri](https:\u002F\u002Ftauri.app) 的桌面应用——采用 **React + TypeScript** 前端，后端由 **Rust** 引擎驱动，打包成适用于 Windows、macOS 和 Linux 的原生应用。\n\n```mermaid\ngraph TB\n    subgraph Frontend [\"前端 (React + TypeScript)\"]\n        UI[UI 组件]\n        CTX[状态上下文\\n转录内容 · 模型 · 进度 · 设置]\n        UI \u003C--> CTX\n    end\n\n    subgraph Tauri [\"Tauri 桥接层\"]\n        IPC[IPC 命令与事件]\n    end\n\n    subgraph Backend [\"Rust 后端\"]\n        API[命令处理器]\n        AP[音频预处理模块]\n        API --> AP\n    end\n\n    subgraph Engine [\"转录引擎\"]\n        EM[引擎管理器]\n        EM --> W[Whisper]\n        EM --> P[Parakeet \u002F Moonshine]\n        EM --> D[Pyannote 发言人分离]\n        EM --> FMT[格式化工具\\n换行 · 时间对齐 · CPS]\n        EM --> TR[翻译器]\n    end\n\n    subgraph External [\"外部依赖\"]\n        FF[FFmpeg 辅助工具]\n        HF[HuggingFace Hub\\n模型下载]\n    end\n\n    subgraph Resolve [\"DaVinci Resolve（可选）\"]\n        LUA[AutoSubs.lua 脚本]\n    end\n\n    Frontend \u003C--> Tauri\n    Tauri \u003C--> Backend\n    Backend --> Engine\n    AP --> FF\n    Engine --> HF\n    LUA \u003C-.->|IPC| Tauri\n```\n\n**转录流程全链路：**\n1. 用户选择文件并点击“转录”\n2. Rust 后端通过 FFmpeg 对音频进行预处理（归一化、格式转换）\n3. 转录引擎在本地运行所选的 AI 模型（Whisper \u002F Parakeet \u002F Moonshine）\n4. 可选地运行 Pyannote 进行发言人分离，以及 Google Translate 进行翻译\n5. 格式化工具会应用换行、时间约束及特定语言规则\n6. 结果实时回传至 UI，用户可编辑并导出\n\n---\n\n## 快速入门\n\n### 1) 下载并安装\n\n**🪟 Windows + 🍎 macOS：**\n从上方链接下载适合您平台的安装程序，并按照提示完成安装。\n\n**🐧 Linux (.deb)：**\n```bash\nwget https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-linux-x86_64.deb\nsudo apt install .\u002FAutoSubs-linux-x86_64.deb\n# 如果出现依赖错误，请执行：\nsudo dpkg -i AutoSubs-linux-x86_64.deb && sudo apt -f install\n```\n\n### 2) 选择工作流程\n\n#### 独立模式\n1. 启动 AutoSubs，选择音频或视频文件。\n2. 选择模型及语言\u002F翻译选项。\n3. 点击“转录”。根据需要编辑发言者和字幕。\n4. 导出为 SRT 或文本，或将内容复制到剪贴板。\n\n#### DaVinci Resolve 模式\n1. 打开 DaVinci Resolve → **工作区 → 脚本 → AutoSubs**。\n2. 选择时间线\u002F音频源及设置。\n3. 点击“转录”。根据需要编辑发言者和字幕。\n4. 将样式化的字幕发送回 Resolve。\n\n> [!WARNING]\n> AutoSubs 不适用于 Mac App Store 版本的 DaVinci Resolve。如有需要，请从[官方网站](https:\u002F\u002Fwww.blackmagicdesign.com\u002Fproducts\u002Fdavinciresolve\u002F)重新安装。\n\n---\n\n## V3 新特性\n- **全新、更简洁的界面**——使用更方便，风格更统一\n- **更快、更轻量**——基于全新 Rust 后端，空闲内存占用降低约 3 倍\n- **更智能的模型**——选项更多，删除更便捷，状态徽章清晰易懂\n- **更好的时间对齐**——即使帧率不固定或存在丢帧情况，也能精准对齐\n- **独立模式**——可转录任意文件，无需 Resolve\n- **强大的编辑工具**——现代化的字幕编辑器及高级的按发言者样式定制功能\n\n---\n\n## 贡献代码\n\n欢迎提交 PR！在深入参与之前，可先查看完整的代码库解析：**[AutoSubs DeepWiki](https:\u002F\u002Fdeepwiki.com\u002Ftmoroney\u002Fauto-subs)**。\n\n### 开发环境搭建\n\n1. 克隆仓库。\n2. 安装前置条件：Node.js 和 Rust 工具链——详情请参阅 [tauri.app](https:\u002F\u002Ftauri.app)。\n3. 在开发模式下启动应用：\n   ```bash\n   cd AutoSubs-App\n   npm install\n   npm run tauri dev\n   ```\n4. 若需在开发过程中测试与 Resolve 的集成，可将 `AutoSubs-App\u002Fsrc-tauri\u002Fresources\u002FTesting-AutoSubs.lua` 文件复制到 Resolve 的脚本目录中：\n   - **Windows:** `%appdata%\u002FBlackmagic Design\u002FDaVinci Resolve\u002FSupport\u002FFusion\u002FScripts\u002FUtility`\n   - **macOS:** `\u002FLibrary\u002FApplication Support\u002FBlackmagic Design\u002FDaVinci Resolve\u002FFusion\u002FScripts\u002FUtility`\n\n   然后修改 `Testing-AutoSubs.lua` 中的路径，指向您本地的 AutoSubs 安装位置，并通过 Resolve 的 **工作区 → 脚本 → Testing-AutoSubs** 来打开该脚本。\n\n后端代码位于 `AutoSubs-App\u002Fsrc-tauri\u002F` 目录下。\n\n---\n\n## 深度解析\n\n如需详细的架构文档、组件拆解以及关于代码库各部分的答疑交流，请访问 **[AutoSubs on DeepWiki](https:\u002F\u002Fdeepwiki.com\u002Ftmoroney\u002Fauto-subs)**。","# AutoSubs 快速上手指南\n\nAutoSubs 是一款基于本地 AI 模型的字幕生成工具，支持一键生成高精度、带说话人标签的字幕。它采用 Rust + React 架构，可独立运行或集成至 DaVinci Resolve，无需云端服务或订阅。\n\n## 环境准备\n\n### 系统要求\n- **操作系统**：Windows 10\u002F11、macOS (Intel 或 Apple Silicon)、Linux (Debian\u002FUbuntu 系列)\n- **硬件建议**：具备 GPU 加速可显著提升转录速度（非强制，CPU 亦可运行）\n- **前置依赖**：\n  - 独立运行模式：无需额外安装依赖，安装包已内置 FFmpeg 等必要组件。\n  - 开发模式：需安装 [Node.js](https:\u002F\u002Fnodejs.org\u002F) 和 [Rust 工具链](https:\u002F\u002Frustup.rs\u002F)。\n\n> **注意**：若需与 DaVinci Resolve 集成，请确保安装的是官网版本，**不支持** Mac App Store 版本的 Resolve。\n\n## 安装步骤\n\n### Windows & macOS\n直接下载对应平台的安装包并运行：\n- [Windows 安装包 (.exe)](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-windows-x86_64.exe)\n- [macOS Apple Silicon 安装包 (.pkg)](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-Mac-ARM.pkg)\n- [macOS Intel 安装包 (.pkg)](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-Mac-Intel.pkg)\n\n### Linux (.deb)\n在终端执行以下命令下载安装：\n\n```bash\nwget https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Flatest\u002Fdownload\u002FAutoSubs-linux-x86_64.deb\nsudo apt install .\u002FAutoSubs-linux-x86_64.deb\n# 若遇到依赖错误，请运行：\nsudo dpkg -i AutoSubs-linux-x86_64.deb && sudo apt -f install\n```\n\n## 基本使用\n\n### 模式一：独立运行 (Standalone Mode)\n适用于快速处理任意音视频文件。\n\n1. **启动软件**：打开安装好的 AutoSubs 应用程序。\n2. **导入文件**：拖入或选择需要处理的音频\u002F视频文件。\n3. **配置选项**：\n   - 选择转录模型（如 Whisper, Parakeet, Moonshine）。\n   - 设置源语言及是否翻译为英语。\n   - 开启“说话人区分”(Speaker Diarization) 以自动标记不同说话人。\n4. **开始转录**：点击 **Transcribe** 按钮。\n5. **导出结果**：转录完成后，可在线编辑字幕，随后导出为 `.srt` 文件、纯文本或直接复制到剪贴板。\n\n### 模式二：集成 DaVinci Resolve\n适用于视频剪辑工作流，可直接将带样式的字幕送回时间线。\n\n1. **加载脚本**：打开 DaVinci Resolve，点击菜单栏 **Workspace → Scripts → AutoSubs**。\n   > *首次使用若未看到菜单，请确保已将资源文件夹中的 `AutoSubs.lua` 复制到 Resolve 的脚本目录：*\n   > - **Windows**: `%appdata%\u002FBlackmagic Design\u002FDaVinci Resolve\u002FSupport\u002FFusion\u002FScripts\u002FUtility`\n   > - **macOS**: `\u002FLibrary\u002FApplication Support\u002FBlackmagic Design\u002FDaVinci Resolve\u002FFusion\u002FScripts\u002FUtility`\n2. **选择素材**：在脚本界面中选择当前时间线或特定音频源。\n3. **执行转录**：调整设置后点击 **Transcribe**。\n4. **应用字幕**：编辑确认后，字幕将自动以带颜色区分的样式应用到 Resolve 时间线上。","一位独立视频创作者正在为长达 45 分钟的深度访谈视频制作多语言字幕，以便发布到 YouTube 和 Bilibili 平台。\n\n### 没有 auto-subs 时\n- **耗时费力**：必须手动听写每一句对话或依赖不准确的在线服务，处理长视频往往需要数小时甚至一整天。\n- **隐私风险**：若使用云端转录工具，需将未发布的原始素材上传至第三方服务器，存在内容泄露隐患。\n- **角色混乱**：访谈中多位嘉宾声音交织，手动区分说话人极其困难，导致字幕缺乏清晰的说话人标签。\n- **后期繁琐**：生成的字幕格式往往不兼容剪辑软件，需在 DaVinci Resolve 中反复调整时间轴和样式，容易出错。\n\n### 使用 auto-subs 后\n- **一键生成**：只需拖入视频文件，auto-subs 利用本地 AI 模型在几分钟内即可完成高精度转录，效率提升数十倍。\n- **本地运行**：所有计算均在设备本地完成，无需联网上传，彻底保障了独家访谈内容的隐私安全。\n- **自动分角**：内置的说话人分离技术自动识别不同嘉宾，并为每位说话人分配专属颜色标签，字幕结构清晰直观。\n- **无缝协作**：支持直接导出至 DaVinci Resolve，自动应用说话人样式和时间轴，创作者可立即进入精细调色与输出环节。\n\nauto-subs 通过将复杂的 AI 转录流程简化为本地一键操作，让视频创作者从繁琐的字幕制作中解放出来，专注于内容本身。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Ftmoroney_auto-subs_93134202.png","tmoroney","Tom Moroney","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002Ftmoroney_ba2323af.jpg","Currently doing a Masters in Computer Science at Trinity College Dublin",null,"Dublin","https:\u002F\u002Fgithub.com\u002Ftmoroney",[83,87,91,95,98,102,106,110,113],{"name":84,"color":85,"percentage":86},"TypeScript","#3178c6",53,{"name":88,"color":89,"percentage":90},"Rust","#dea584",26.8,{"name":92,"color":93,"percentage":94},"Lua","#000080",15.4,{"name":96,"color":79,"percentage":97},"NSIS",3.5,{"name":99,"color":100,"percentage":101},"CSS","#663399",0.6,{"name":103,"color":104,"percentage":105},"JavaScript","#f1e05a",0.4,{"name":107,"color":108,"percentage":109},"HTML","#e34c26",0.1,{"name":111,"color":112,"percentage":109},"Shell","#89e051",{"name":114,"color":115,"percentage":109},"PowerShell","#012456",3026,175,"2026-04-04T04:21:48","MIT",1,"Windows, macOS (Apple Silicon), macOS (Intel), Linux (.deb)","未说明（模型在本地运行，支持 Whisper\u002FParakeet\u002FMoonshine，具体 GPU 加速需求取决于所选模型，README 未明确强制要求特定显卡或 CUDA 版本）","未说明（提及 V3 版本空闲内存占用降低约 3 倍，但未给出具体数值）",{"notes":125,"python":126,"dependencies":127},"该工具为基于 Tauri 开发的桌面应用，无需用户手动配置 Python 环境或安装依赖库。AI 转录模型（如 Whisper 等）在本地运行，首次使用需从 HuggingFace 下载模型文件。支持独立运行或与 DaVinci Resolve 集成（注意：不支持 Mac App Store 版本的 DaVinci Resolve，需从官网下载安装）。Linux 用户需提供 .deb 包安装环境。","未说明（后端为 Rust，AI 引擎可能内部封装了 Python 环境或通过其他机制调用，用户无需手动安装 Python）",[128,129,84,88,130,131,132,133,134,135],"Tauri","React","FFmpeg (Sidecar)","Whisper","Parakeet","Moonshine","Pyannote","HuggingFace Hub",[13,14,55,15,53],[138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153],"ai","davinci-resolve","subtitles","subtitles-generator","davinci","resolve","openai","whisper","speech-to-text","transcribe","diarize","pyannote","speaker","linux","mac","windows","2026-03-27T02:49:30.150509","2026-04-06T08:45:21.840702",[157,162,167,172,177,182],{"id":158,"question_zh":159,"answer_zh":160,"source_url":161},14612,"如何在 Windows 上安装 AutoSubs？遇到 pip install openai-whisper 失败怎么办？","AutoSubs V2 版本不再需要手动执行 pip install 命令。Windows 用户应直接下载并运行官方提供的安装程序（.exe 文件）进行安装，以避免依赖构建错误。\n下载地址：https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Fdownload\u002FV2.1.8\u002FAutoSubs-Win-setup.exe","https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fissues\u002F155",{"id":163,"question_zh":164,"answer_zh":165,"source_url":166},14613,"在 macOS 上运行时提示找不到 FFMPEG 或环境变量错误如何解决？","维护者已更新 Resolve 脚本，现在脚本会自动设置 macOS 上的 FFMPEG 和 Homebrew 环境变量。请确保您使用的是最新版本的脚本。如果您是通过 Homebrew 安装的 FFMPEG（路径通常为 \u002Fopt\u002Fhomebrew\u002Fbin\u002Fffmpeg），更新脚本后通常无需手动配置即可正常工作。","https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fissues\u002F15",{"id":168,"question_zh":169,"answer_zh":170,"source_url":171},14614,"转录完成后报错 'list index out of range' 且字幕未生成怎么办？","该错误通常是因为脚本无法识别当前 DaVinci Resolve 语言设置下的文本模板名称。您需要修改脚本中的 `CLIP_TYPES_LOCALE` 列表，添加与您软件语言对应的模板名称。\n例如，如果是英文版但识别不到，可以尝试添加或确认包含以下名称：\n- \"Fusion Title\"\n- \"Generator\" (可能是 V18 版本)\n- \"Título – Fusion\" (西班牙语)\n- \"Titre Fusion\" (法语) 等。\n确保脚本能匹配到您时间线上使用的文本加（Text+）或融合标题（Fusion Title）的确切类型名称。","https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fissues\u002F37",{"id":173,"question_zh":174,"answer_zh":175,"source_url":176},14615,"脚本运行时报错 'Failed to load audio' 或提示音频文件不存在 (.unknown) 怎么办？","这通常是由于时间线上的入点（In point）和出点（Out point）设置不正确导致的。请确保您在时间轴上明确标记了想要转录的区域（设置 In 和 Out 点）。如果未设置范围，脚本可能无法正确渲染音频片段。此外，请尝试更新到最新版本，维护者已针对此类问题发布过修复补丁。","https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fissues\u002F5",{"id":178,"question_zh":179,"answer_zh":180,"source_url":181},14616,"在 DaVinci Resolve 19.1 或更高版本中使用时，弹出要求付费 $300 的限制提示是怎么回事？","此提示通常意味着您正在使用 DaVinci Resolve 的免费版本，而某些高级脚本功能（或特定版本的脚本调用方式）在免费版中受到限制，或者脚本试图调用仅 Studio 版可用的 API。请检查您的 Resolve 版本是否为 Studio 版。如果是免费版，部分自动化功能可能不可用，或者需要寻找专门兼容免费版的脚本变体。维护者通常会在此类 Issue 中确认具体的版本兼容性。","https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fissues\u002F116",{"id":183,"question_zh":184,"answer_zh":185,"source_url":186},14617,"Mac 版本何时发布？Windows 版本是否有延迟？","根据维护者的回复，Mac 版本已经发布。Windows 版本也在随后几天内推出。对于开源项目，具体的发布日期可能因开发进度而调整，建议直接查看 GitHub Releases 页面获取最新的安装包，而不是等待特定的承诺日期。用户可以随时自行编译源码或使用已发布的二进制文件。","https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fissues\u002F108",[188,193,198,203,208,213,218,223,228,233,238,243,248,253,258,263,268,273,278,283],{"id":189,"version":190,"summary_zh":191,"released_at":192},81517,"v3.0.8","**完整更新日志**: https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fcompare\u002Fv3.0.7...v3.0.8","2025-08-17T01:01:39",{"id":194,"version":195,"summary_zh":196,"released_at":197},81518,"v3.0.7","**完整更新日志**: https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fcompare\u002Fv3.0.6...v3.0.7","2025-08-16T11:10:25",{"id":199,"version":200,"summary_zh":201,"released_at":202},81519,"v3.0.6","**完整更新日志**: https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fcompare\u002Fv3.0.5...v3.0.6","2025-08-13T21:52:11",{"id":204,"version":205,"summary_zh":206,"released_at":207},81520,"v3.0.5","**完整更新日志**: https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fcompare\u002Fv3.0.4...v3.0.5","2025-08-13T14:00:44",{"id":209,"version":210,"summary_zh":211,"released_at":212},81521,"v3.0.4","**完整更新日志**: https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fcompare\u002Fv3.0.3...v3.0.4","2025-08-12T21:25:35",{"id":214,"version":215,"summary_zh":216,"released_at":217},81522,"v3.0.3","**完整更新日志**: https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fcompare\u002Fv3.0.2...v3.0.3","2025-08-12T20:27:57",{"id":219,"version":220,"summary_zh":221,"released_at":222},81523,"v3.0.2","**完整更新日志**: https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fcompare\u002Fv3.0.1...v3.0.2","2025-08-12T18:14:04",{"id":224,"version":225,"summary_zh":226,"released_at":227},81524,"v3.0.1","**完整更新日志**: https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fcompare\u002Fv3.0.0...v3.0.1","2025-08-12T02:18:03",{"id":229,"version":230,"summary_zh":231,"released_at":232},81525,"v3.0.0","## AutoSubs v3 - Rust 后端、独立模式、全新编辑器、大规模 UX 重构\n\n__全面 UI 重构__\n  - 整个应用的控件更加简洁、一致，且更易于发现。\n\n__性能提升__\n  - 发言人区分与标注现在速度大幅提升，对转写耗时几乎可以忽略不计。\n  - 由于采用 Rust 后端，空闲内存占用降低约 3 倍。\n\n__模型管理扩展__\n  - 提供更多模型选项，支持在界面内轻松删除，并配有更清晰的状态指示。\n\n__时间轴修复__\n  - 修正了针对可变帧率及丢帧场景下的字幕时间轴。\n\n__Rust 后端（取代 Python）__\n  - 更快、更节省内存、更可靠。为未来功能与稳定性奠定基础。\n\n__独立模式__\n  - 无需 DaVinci Resolve 即可在任意音视频文件上使用 AutoSubs。非常适合快速生成字幕。\n\n__全新字幕编辑器__\n  - 现代化、响应式编辑器，易用性大幅提升，并配备可调整大小的字幕预览窗口。\n\n__高级发言人编辑器__\n  - 可为每位发言人自定义样式，包括填充色、描边色和边框色，并提供实时预览。\n  - 支持为不同发言人选择不同的输出轨道。\n\n__多行字幕__\n  - 根据个人偏好或工作流程，自由选择每条字幕的行数。\n\n__可调整大小的字幕查看器__\n  - 桌面版布局采用可调整大小的面板，方便并排编辑与审阅。\n\n","2025-08-11T16:22:27",{"id":234,"version":235,"summary_zh":236,"released_at":237},81526,"V2.1.8","- 修复了因文件路径中包含特殊字符而导致的错误\n- 增加了新版本更新检查功能，显示最新变更内容\n- 停止在旧版本 DaVinci Resolve 中弹出警告提示框","2025-01-25T16:37:13",{"id":239,"version":240,"summary_zh":241,"released_at":242},81527,"V2.1.7","- Fixed port issue caused by Razer Cortex\r\n- Added the ability to import your own custom srt file ⭐\r\n- Other minor improvements\r\n- Added preparations for the animation page","2025-01-24T03:16:19",{"id":244,"version":245,"summary_zh":246,"released_at":247},81528,"V2.1.6","Fixed mac storage path issue","2024-12-29T01:14:42",{"id":249,"version":250,"summary_zh":251,"released_at":252},81529,"V2.1.5","**Full Changelog**: https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fcompare\u002FV2.1.2...V2.1.5","2024-12-26T02:23:47",{"id":254,"version":255,"summary_zh":256,"released_at":257},81530,"V2.1.2","- Fixed mac error for german","2024-12-13T15:21:01",{"id":259,"version":260,"summary_zh":261,"released_at":262},81531,"V2.1.1","## What's Changed\r\n- Fixed support for Nvidia GPUs\r\n- Fixed support for Davinci Resolve 18\r\n- Changed join threshold for subtitles\r\n- General bug fixes and improvements\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fcompare\u002FV2.1...V2.1.1","2024-12-12T12:26:37",{"id":264,"version":265,"summary_zh":266,"released_at":267},81532,"V2.1","## What's Changed\r\n- Now supports **Windows** and **MacOS** 14 + 15 (ARM based)\r\n- Added more advanced settings for removing punctuation and formatting text to uppercase or lowercase.\r\n- Transcribe from previously exported audio.\r\n- General bug fixes and improvements.\r\n\r\n### Download: [Windows](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Fdownload\u002FV2.1\u002FAutoSubs-Win-setup.exe) ✨ [MacOS](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Fdownload\u002FV2.1\u002FAutoSubs-Mac-ARM.pkg)\r\n## New Contributors\r\n* @AdyTech99 made their first contribution in https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fpull\u002F110\r\n* @alb made their first contribution in https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fpull\u002F112\r\n\r\n# Introducting AutoSubs v2 🚀\r\n**Experience faster transcription, a sleek new interface, and powerful new features:**\r\n- ⚡ **Blazing Fast Speeds:** Transcribe audio over 2x faster (optimised for Mac and Windows).\r\n- 🗣️ **Speaker Diarization:** Auto-detect speakers and color-code subtitles effortlessly.\r\n- 🌏 **English Translation:** Speak in your native language and get subtitles in English (if enabled).\r\n- 🎨 **Modern UI:** A stylish, streamlined interface for seamless workflows.\r\n- 📦 **One-Click Installer:** Apple-approved for quick, hassle-free setup.\r\n\r\nGenerate Subtitles with AI |  New Advanced Settings\r\n:-------------------------:|:-------------------------:\r\n\u003Cimg width=\"550\" alt=\"Transcription Page\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F59803d26-cda0-4b44-ac54-3eb46438f7a6\"> | \u003Cimg width=\"600\" alt=\"Advanced Settings\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fd136f300-89be-4f0c-a330-57372fd71041\">\r\n\r\n**Full Changelog**: https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Fcompare\u002FV2.0...V2.1","2024-12-07T20:10:43",{"id":269,"version":270,"summary_zh":271,"released_at":272},81533,"V2.0","# Introducting AutoSubs v2 🚀\r\n**Experience faster transcription, a sleek new interface, and powerful new features:**\r\n- ⚡ **Blazing Fast Speeds:** Transcribe audio over 2x faster (optimised for Mac and Windows).\r\n- 🗣️ **Speaker Diarization:** Auto-detect speakers and color-code subtitles effortlessly.\r\n- 🌏 **English Translation:** Speak in your native language and get subtitles in English (if enabled).\r\n- 🎨 **Modern UI:** A stylish, streamlined interface for seamless workflows.\r\n- 📦 **One-Click Installer:** Apple-approved for quick, hassle-free setup.\r\n\r\n# Setup Instructions\r\n#### ⚠️ Supports macOS 14 & 15 on ARM Macs (M-series) ⚠️\r\n1. [Download `.pkg` Installer below](https:\u002F\u002Fgithub.com\u002Ftmoroney\u002Fauto-subs\u002Freleases\u002Fdownload\u002FV2.0\u002FAutoSubs-Installer-Mac-ARM.pkg).\r\n2. Open Installer and follow the instructions on screen.\r\n3. Start AutoSubs by navigating to `Workspace -> Scripts -> AutoSubs V2` inside of Resolve.\r\n\r\n**Windows** version will be available as soon as Certum approves my signing certificate (hopefully before 27th of November).\r\n\r\n\u003Cbr>\r\n\r\nGenerate Subtitles with AI |  Automatic Speaker Labeling\r\n:-------------------------:|:-------------------------:\r\n\u003Cimg width=\"550\" alt=\"Transcription Page\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F27c28c7c-eadf-4689-b0e7-1f1b908931e1\"> | \u003Cimg width=\"600\" alt=\"Diarized Speakers Page\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fc1cedbb4-4e86-4fa0-86f6-bb77169c4fda\">","2024-11-18T16:38:20",{"id":274,"version":275,"summary_zh":276,"released_at":277},81534,"v1.9.5","- Updated documentation for setup.\r\n- Added auto-update script + command.\r\n- Fixed automatic setup script and added back to documentation.","2024-03-23T18:19:26",{"id":279,"version":280,"summary_zh":281,"released_at":282},81535,"v1.9.2","Added ability to select a specific template text and fixed automatic translation bug","2024-03-22T19:36:27",{"id":284,"version":285,"summary_zh":286,"released_at":287},81536,"v1.9.4","Added features:\r\n- Saves the current settings when the script is closed and loads them when the script is opened again.\r\n- Translation from any language to English.\r\n- Option to refine subtitle timings to improve timestamps.\r\n- Changed storage location for files to hopefully fix FFMPEG \"file not found\" error.","2024-03-18T20:52:56"]