GitHub - timoncool/videosos: AI video production in the browser — text-to-video, image-to-video, lip sync, 100+ models. Google Veo 3.1, FLUX, Gemini, Imagen 4. Free, open-source, private. · GitHub
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AI video production in the browser — text-to-video, image-to-video, lip sync, 100+ models. Google Veo 3.1, FLUX, Gemini, Imagen 4. Free, open-source, private.

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VideoSOS 2

A desktop AI video studio: generate images, video, music, voices, sound effects and text with the best models of OpenRouter, fal and Runware, and cut them on a real multitrack timeline into a finished video. One native app (Rust + Tauri), your own keys, your files on your disk, and an MCP server so an AI agent can make the video with you.

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VideoSOS 2 — generation and editing in one window

What it is

VideoSOS 2 puts AI generation and video editing into one window. On the left you pick what to make — an image, an edit of an image, a video from text or from a frame, a lip-synced talking head, an upscale, a removed background, music, a voice-over, sound effects, a transcript or a script — and a model of OpenRouter, fal or Runware. The form is drawn from the model's own description, so every setting the model takes is there, and the price is shown before you press Generate. The result lands in the project's media library and, if you like, straight onto the timeline at the playhead.

The editor is a full NLE: multiple video and audio tracks, ripple/rolling/slip/slide trims, transitions, keyframes with a Bezier graph, masks, blend modes, color grading with scopes, text and shapes, captions, and a fast export to MP4, WebM, MOV or MKV that runs on your graphics card.

VideoSOS 1 was a web app in the browser. Version 2 is a native desktop program: one .exe with its server written in Rust, projects and generations kept as plain files on your disk, jobs that survive a restart, and no account of ours anywhere — you pay the providers directly with your own keys.

Generate everything

Task What you get Providers
Image text to image OpenRouter, fal, Runware
Edit image image with references or a mask OpenRouter, fal, Runware
Video text to video, first frame, first and last frame, references OpenRouter, fal, Runware
Edit video video to video, extend, restyle OpenRouter, fal, Runware
Lip sync a face that speaks your audio fal, Runware
Upscale images and videos in higher resolution fal, Runware, OpenRouter (video)
Remove background transparent cut-outs fal, Runware
Music songs and scores fal, Runware
Voice text to speech in dozens of voices and languages OpenRouter, fal, Runware
Sound effects foley from text or from a video fal, Runware
Transcribe speech to text OpenRouter, fal
Text scripts, prompts, ideas — any LLM of OpenRouter OpenRouter
  • Live catalogues. Models are read from the providers themselves — over a thousand, newest first, with each provider's price line; retiring models are marked. Nothing is hard-coded.
  • Price before you run. Rates by second, resolution, sound and input images are worked out from the form; after the run the provider's own bill is recorded. Settings, Providers shows what you spent today and in total.
  • Files as inputs. Drag a picture, a clip or a sound from the library — or a result of an earlier generation — into a slot: first frame, last frame, references, the video to lip-sync.
  • Never paid twice. A job is saved before it is sent; after a restart a job that was sent is followed, not sent again. Results are downloaded at once, before the providers' links expire.
  • History. Every run with its model, settings, price and files: run it again, load it back into the form, put it on the timeline.

For AI agents

While VideoSOS is open it serves MCP at http://127.0.0.1:8796/mcp. An agent such as Claude Code, Claude Desktop, Cursor or Codex can do what the window does: pick models and read their settings, estimate prices, generate, wait for the results, read and edit the open project's timeline (each edit is an undoable step you see happen), import media, move the playhead, take a picture of the window and export the video. Every action is shown in the window.

claude mcp add --transport http videosos http://127.0.0.1:8796/mcp

Other clients: { "mcpServers": { "videosos": { "type": "streamable-http", "url": "http://127.0.0.1:8796/mcp" } } }. The server serves its guide as the resource videosos://skill (prompt videosos) — the same text as docs/mcp-skill.md. Generations are paid: Settings, Providers and agent sets a daily limit for agents, past which generate is refused. Only agents on this computer and the program's own window may connect; provider keys are never shown to them.

Quick start

  1. Download VideoSOS_2.0.0_x64-setup.exe (or the portable zip) from the latest release and run it.
  2. Create a project, open the Generate tab on the left and paste a key of OpenRouter, fal or Runware when asked. One provider is enough to start.
  3. Pick a task and a model, write what you want, press Generate.

Requirements

  • Windows 10/11 x64 with Microsoft Edge WebView2 (the installer gets it when missing).
  • A graphics card with WebGPU (any recent NVIDIA, AMD or Intel) for the preview and the fast export.
  • An internet connection for generation; editing and export work offline.

Where your files are

Everything lives beside the program (or in %LOCALAPPDATA%\VideoSOS when that folder is read-only): data\workspace — projects, media, thumbnails and exports; data\generations — the files of every generation; secrets — provider keys; data\videosos.db — the generation history. Uninstalling keeps them unless you tick Delete the application data.

Anonymous statistics and news

The first-run screen has a switch Send anonymous statistics; the same switch is in Settings, Providers and agent. While it is on, the program sends once a day: a random install id, the version, the OS and the window language, how many generations finished or failed by task, and which models ran. Never prompts, files, keys or anything personal. DO_NOT_TRACK=1 or STUDIO_TELEMETRY=0 turns it off entirely.

How it is built

  • crates/vs-providers — OpenRouter, fal and Runware brought to one contract: catalogue, form from the model's JSON Schema, a price rule, jobs that end in files. Runware tasks are checked against the model's schema before they are sent, so a wrong setting costs nothing.
  • crates/vs-server — axum on 127.0.0.1: the editor's workspace on disk, the job queue in SQLite, keys, spend, the MCP server and its bridge to the window.
  • frontend — the editor window: a fork of FreeCut (MIT) kept as a git subtree, with its storage moved to the server and the generation panel, settings and agent bridge added.
  • desktop — the Tauri shell: one process, the server inside it, updates from GitHub releases.

More portable AI apps

Project What it is
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MiniMax Music3 Studio Local and cloud AI music studio
ACE-Step Studio AI music studio — songs, vocals, covers, clips
Higgs Ultimate Native speech synthesis and voice cloning

Authors

Credits

Support the author

I build open-source software and do AI research — most of what I make is freely available. Donations let me build and research more.

All the ways to support | dalink.to/nerual_dreming | boosty.to/neuro_art

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Star history

Star history chart

License

The code is MIT; the editor window is based on FreeCut (MIT). What you generate is governed by the terms of the provider and the model you used — read them before you publish or sell.

About

AI video production in the browser — text-to-video, image-to-video, lip sync, 100+ models. Google Veo 3.1, FLUX, Gemini, Imagen 4. Free, open-source, private.

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