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AI-powered, vision-driven UI automation for every platform.

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<h1 align="center">Midscene.js</h1>
<div align="center">

English | [简体中文](./README.zh.md)

<strong>Official Website</strong>: <a href="https://midscenejs.com/">https://midscenejs.com/</a>

</div>

<p align="center">
  Open-source, vision-driven UI testing — write tests in natural language, automate any platform.
</p>

## 📣 Midscene Skills is here!

Use [Midscene Skills](https://github.com/web-infra-dev/midscene-skills) to control any platform with [OpenClaw](https://github.com/OpenClaw/OpenClaw)

## Showcases

* [Web Automation - Automatically register the GitHub form in a web browser and pass all field validations](https://midscenejs.com/showcases#web)
* [iOS Automation - Meituan coffee order](https://midscenejs.com/showcases#ios)
* [iOS Automation - Auto-like the first @midscene_ai tweet](https://midscenejs.com/showcases#ios)
* [Android Automation - DCar: Xiaomi SU7 specs](https://midscenejs.com/showcases#android)
* [Android Automation - Booking a hotel for Christmas](https://midscenejs.com/showcases#android)
* [robotic arm + vision + voice for in-vehicle testing](https://midscenejs.com/showcases#community-showcases)

## 💡 Why Midscene

Most UI automation — including AI tools that read the DOM or the accessibility tree — depends on page structure. That structure is fragile and incomplete: selectors break on every refactor, elements without semantic markup (icon-only buttons, custom controls, `<canvas>`) are invisible to it, native apps and cross-origin iframes are out of reach, and it cannot tell whether something actually looks right. Midscene works from the screenshot alone, and you describe each step in natural language:

- **Less maintenance** — no selectors to chase when the UI changes.
- **Reach every element and surface** — if a human can see it, Midscene can target it, even with no semantic annotations, on `<canvas>`, native apps, and cross-origin iframes.
- **Assert what users actually see** — verify colors, highlights, layout, and rendered state, not just whether a DOM node exists.
- **Two ways to test** — add Midscene to your [Playwright](https://midscenejs.com/integrate-with-playwright) / Vitest suite, or let an AI agent test autonomously via [Skills](https://midscenejs.com/skills).

Midscene is built for UI testing first, but the same vision-driven engine handles any UI automation task.

## 💡 What you can automate

Midscene works anywhere you can take a screenshot — web browsers, Android, iOS, HarmonyOS, desktop apps, and [any custom interface](https://midscenejs.com/integrate-with-any-interface) — all through one API. Write automation with the JavaScript SDK or in YAML, hand it to AI agents via [Skills](https://midscenejs.com/skills), and look up every method (`aiAct`, `aiQuery`, `aiAssert`, and more) in the [API reference](https://midscenejs.com/reference/#common).

## 🚀 Get started

- **Try Midscene in Chrome** — use the [Quick start](https://midscenejs.com/quick-start) to configure a model, install the Chrome extension, and run your first natural-language instruction.
- **Write your first script** — create an Agent and run a complete browser script with [Playwright](https://midscenejs.com/integrate-with-playwright) or [Puppeteer](https://midscenejs.com/integrate-with-puppeteer).
- **Other platforms** — getting-started guides for [Android](https://midscenejs.com/platforms/android), [iOS](https://midscenejs.com/platforms/ios), [HarmonyOS](https://midscenejs.com/platforms/harmonyos), and [desktop](https://midscenejs.com/platforms/desktop).

## ✨ Driven by Multimodal Models

Midscene is all-in on pure vision for UI actions: element localization is based on screenshots only. It runs on multimodal models with strong UI localization, such as `Qwen3.x`, `Doubao-Seed-2.1`, `GLM-4.6V`, `gemini-3.5-flash`, and `UI-TARS`, including open-source options you can self-host. For data extraction and page understanding, you can still opt in to include DOM when needed.

Read more about [Model Strategy](https://midscenejs.com/model-strategy).

## 📄 Resources

* Documentation: [https://midscenejs.com](https://midscenejs.com/)
* Sample projects: [midscene-example](https://github.com/web-infra-dev/midscene-example)
* API reference: [https://midscenejs.com/reference/#common](https://midscenejs.com/reference/#common)

## 🤝 Community

* [Discord](https://discord.gg/2JyBHxszE4)
* [Follow us on X](https://x.com/midscene_ai)
* [Lark Group(飞书交流群)](https://applink.larkoffice.com/client/chat/chatter/add_by_link?link_token=693v0991-a6bb-4b44-b2e1-365ca0d199ba)

## 🌟 Awesome Midscene

Community projects that extend Midscene.js capabilities:

* [midscene-ios](https://github.com/lhuanyu/midscene-ios) - iOS Mirror automation support for Midscene
* [midscene-pc](https://github.com/Mofangbao/midscene-pc) - PC operation device for Windows, macOS, and Linux
* [midscene-pc-docker](https://github.com/Mofangbao/midscene-pc-docker) - Docker image with Midscene-PC server pre-installed
* [Midscene-Python](https://github.com/Python51888/Midscene-Python) - Python SDK for Midscene automation
* [midscene-java](https://github.com/Master-Frank/midscene-java) by @Master-Frank - Java SDK for Midscene automation
* [midscene-java](https://github.com/alstafeev/midscene-java) by @alstafeev - Java SDK for Midscene automation

## 📝 Credits

We would like to thank the following projects:

- [Rsbuild](https://github.com/web-infra-dev/rsbuild) and [Rslib](https://github.com/web-infra-dev/rslib) for the build tool.
- [UI-TARS](https://github.com/bytedance/ui-tars) for the open-source agent model UI-TARS.
- [Qwen-VL](https://github.com/QwenLM/Qwen-VL) for the open-source multimodal model Qwen-VL.
- [scrcpy](https://github.com/Genymobile/scrcpy) and [yume-chan](https://github.com/yume-chan) allow us to control Android devices with browser.
- [appium-adb](https://github.com/appium/appium-adb) for the javascript bridge of adb.
- [appium-webdriveragent](https://github.com/appium/WebDriverAgent) for the javascript operate XCTest。
- [YADB](https://github.com/ysbing/YADB) for the yadb tool which improves the performance of text input.
- [libnut-core](https://github.com/nut-tree/libnut-core) for the cross-platform native keyboard and mouse control.
- [Puppeteer](https://github.com/puppeteer/puppeteer) for browser automation and control.
- [Playwright](https://github.com/microsoft/playwright) for browser automation and control and testing.

## 📖 Citation

If you use Midscene.js in your research or project, please cite:

```bibtex
@software{Midscene.js,
  author = {Xiao Zhou, Tao Yu, YiBing Lin},
  title = {Midscene.js: Your AI Operator for Web, Android, iOS, Automation & Testing.},
  year = {2025},
  publisher = {GitHub},
  url = {https://github.com/web-infra-dev/midscene}
}
```

## ✨ Star History

[![Star History Chart](https://api.star-history.com/svg?repos=web-infra-dev/midscene&type=Date)](https://www.star-history.com/#web-infra-dev/midscene&Date)

## 📝 License

Midscene.js is [MIT licensed](https://github.com/web-infra-dev/midscene/blob/main/LICENSE).

---

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  If this project helps you or inspires you, please give us a star
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