{"name":"ArcReel: Open-Source AI Video Production Workspace for Stories and Scripts","description":"ArcReel is an open-source, self-hosted AI video production workspace designed to transform novels, screenplays, or product assets into short videos. It offers a comprehensive pipeline for content analysis, asset management, storyboarding, and video generation, ensuring visual continuity and cost tracking. Users can control the production process and export editable drafts for further refinement.","github":"https://github.com/ArcReel/ArcReel","url":"https://osrepos.com/repo/arcreel-arcreel","source":"osrepos.com","sourceDescription":"This repository profile is provided by osrepos.com, an open source repository discovery platform.","repositoryProfile":"https://osrepos.com/repo/arcreel-arcreel","generatedFor":"open source discovery and AI-assisted research","markdown":"https://osrepos.com/repo/arcreel-arcreel.md","json":"https://osrepos.com/repo/arcreel-arcreel.json","topics":["ai-video-generator","self-hosted","agentic-workflow","storyboard","content-creation","Python","docker","AI Video Production"],"keywords":["ai-video-generator","self-hosted","agentic-workflow","storyboard","content-creation","Python","docker","AI Video Production"],"stars":null,"summary":"ArcReel is an open-source, self-hosted AI video production workspace designed to transform novels, screenplays, or product assets into short videos. It offers a comprehensive pipeline for content analysis, asset management, storyboarding, and video generation, ensuring visual continuity and cost tracking. Users can control the production process and export editable drafts for further refinement.","content":"## Introduction\n\nArcReel is an open-source, self-hosted AI video production workspace. It empowers users to convert novels, screenplays, or product assets into short videos, complete with character consistency, controllable elements, and cost tracking. This platform streamlines the entire video creation process, from initial content analysis to final video export.\n\n## Why Use ArcReel and Its Benefits\n\nArcReel offers a unique set of features that make AI-driven video production accessible and manageable:\n\n*   **One production workflow**: Transform various source materials into characters, scenes, props, storyboards, video clips, and final videos through a structured, step-by-step process.\n*   **Visual continuity with human control**: Maintain consistent visual elements across shots by reusing reference assets. Users can review key stages, regenerate individual assets, and revert to earlier versions, ensuring creative oversight.\n*   **Manageable models and costs**: Configure various AI capabilities for text, image, video, and TTS in one place. The platform provides estimated costs and tracks actual usage, offering transparency and control over expenses.\n*   **Editable delivery**: Generate final videos directly or export drafts to Jianying (CapCut compatibility not verified) for further editing of subtitles, voice-over, pacing, and transitions.\n\n## Installation\n\nGetting ArcReel up and running is straightforward with Docker and Docker Compose. First, ensure you have Docker and Docker Compose installed.\n\nbash\ngit clone https://github.com/ArcReel/ArcReel.git\ncd ArcReel/deploy\n\ncp .env.example .env\ndocker compose up -d\n\n\nAccess ArcReel at `http://localhost:1241`. The default username is `admin`. If `AUTH_PASSWORD` is empty, a password will be generated and written to `deploy/.env` on first startup. Remember to configure the ArcReel AI assistant and generation capabilities in the settings after signing in.\n\n## Examples\n\nArcReel guides you from source material to a polished video through a clear, step-by-step pipeline. The process begins with **Novel / Screenplay / Product Assets**, moving to **Content Analysis & Project Planning**. This generates **Character / Scene / Prop Assets** and an **Episode Plan & Structured Script**. Next, **Storyboard Image / Grid Storyboard** are created, leading to **Video Clips / Voice-over Tracks**. Finally, these elements are combined into a **Final Composition** or exported as a **Jianying Draft Export**. Each stage can be managed by the AI assistant or manually reviewed and adjusted by the user, offering flexibility in the creative process.\n\n## Links\n\nExplore ArcReel further with these official resources:\n\n*   [GitHub Repository](https://github.com/ArcReel/ArcReel)\n*   [Official Documentation](https://docs.arc-reel.com/en/)\n*   [Getting Started Guide](https://docs.arc-reel.com/en/guide/getting-started)\n*   [Community (GitHub Issues)](https://github.com/ArcReel/ArcReel/issues)","metrics":{"detailViews":0,"githubClicks":1},"dates":{"published":null,"modified":"2026-09-01T19:35:45.000Z"}}