openscreen-demo

OpenScreen

Install the OpenScreen demo skill with `npx skills add getopenscreen/openscreen --skill openscreen-demo -y`, then follow it to make a demo video of this feature.

[!NOTE] This is OpenScreen, continued. Siddharth Vaddem created the project and archived the original repository after v1.5.0. Development moved here with his approval, under the same name and the same MIT license.

A raw capture goes in and comes out ready to post — on X, Reddit, YouTube, a docs page, or a landing page. That is the category Screen Studio defined; OpenScreen is the open-source entry in it, and not a clone.

100% free for personal and commercial use, with nothing held behind a paywall.

Project status. OpenScreen is under active development — expect rough edges and occasional breaking changes, including to the .openscreen project format and the CLI. Bug reports are welcome: open an issue.

Core Features

• Record a specific window, or your whole screen.
• Record microphone and system audio.
• Webcam overlay with picture-in-picture, eight snap positions, adjustable roundness, mirroring, and shape options.
• Auto or manual zooms with adjustable depth, duration, easing, and pixel-precise position; auto-zoom follows your cursor as you work.
• Custom cursor size, smoothing, and click effects, with post-recording path smoothing.
• Automatic captions for voiceovers, transcribed on-device with no upload (works offline), with an editable transcript you can cut from and optional subtitle translation.
• AI editing assistant: describe the edit you want in chat and it applies to the timeline — cuts, zooms, speed ramps, annotations, camera framing. Bring your own key (Claude, OpenAI, Gemini, Mistral, OpenRouter, MiniMax, or any OpenAI-compatible endpoint); nothing is enabled by default.
• Wallpapers, solid colors, gradients, or your own background image.
• Motion blur.
• Crop, trim, and per-segment speed control on the timeline.
• Text, arrow, and image annotations, with text animation presets.
• Timeline snapping guides and an audio waveform to make trimming easier.
• Customizable keyboard shortcuts.
• Export to MP4 or GIF in multiple aspect ratios and resolutions, rendered and encoded on the GPU (Metal on macOS, D3D11 on Windows, Vulkan on Linux) with an automatic CPU fallback.
• Languages supported: Arabic, Czech, English, Spanish, French, German, Italian, Japanese, Korean, Portuguese (Brazil), Russian, Turkish, Vietnamese, Simplified Chinese, and Traditional Chinese.

Command-line interface (headless)

OpenScreen ships a CLI for scripts, CI, and AI coding agents: record the screen headlessly, edit the .openscreen project JSON programmatically (zooms, annotations, trims), and render MP4/GIF with the full export pipeline — no visible windows, NDJSON output with --json.

openscreen record --duration 20 --project demo.openscreen --json
openscreen export demo.openscreen -o demo.mp4 --json

See the CLI reference.

Let your AI agent ship the feature with its video

Paste this into your AI agent (Claude Code, Codex, Cursor…):

Install the OpenScreen demo skill with `npx skills add getopenscreen/openscreen --skill openscreen-demo -y`, then follow it to add a video of this change to the PR.

The skill sets everything up: it installs OpenScreen if it is missing (once you agree), connects its MCP server, then asks you to open a new session and say "continue the OpenScreen demo", the one step an agent cannot do for itself. By hand, in Claude Code, it is these two commands, where <executable> is the app's executable on your system (where to find it):

claude mcp add openscreen -- "<executable>" mcp
npx skills add getopenscreen/openscreen --skill openscreen-demo

From then on, ask: "Add a video of this change to the PR." The agent plans the storyboard, records the app, edits the take with OpenScreen's own editing tools, exports the MP4, checks it frame by frame, and attaches it to the pull request, where reviewers watch it in place. Ask for a launch demo instead and it drafts a post for X, which it publishes only once you say yes. Codex and the other clients are in AI editing.

Installation

Every platform has a recommended route below. On Windows that is the Microsoft Store; everywhere else it is the installer from the GitHub Releases page.

System requirements

• Windows: version 1903+ (build 18362) with Intel 8th Gen / AMD Ryzen 2000 series or newer minimum; Windows 11 with Intel 12th Gen / Ryzen 4000 series or newer recommended
• macOS: 13 (Ventura) or later — required by ScreenCaptureKit for capture
• Linux: xdg-desktop-portal and PipeWire for native capture and system audio; recording still works without them through the browser-capture fallback, with fewer capabilities (see Platform differences)
• RAM: 8 GB minimum, 16 GB recommended

Full table and notes on older integrated graphics: system requirements.

macOS

Download the .dmg installer directly from the Releases page and dra