royale_lab is a local tool for Clash Royale testing and data work on Windows. It helps you run bot logic, check screen reads, test decks, and collect data for later use.
Use it to:
- Test battle logic in a safe local setup
- Capture deck data from your screen
- Work with vision tools for game frames
- Build and manage datasets
- Try heuristic rules for game decisions
- Run AI model files in ONNX format
- Use a simple desktop interface with PyQt6
Visit this page to download the app:
On that page, look for the latest release and download the Windows file that matches your system. If there is a ZIP file, download it and extract it first. If there is an EXE file, you can run it after the download finishes.
Use these steps on a Windows PC:
- Open the release page in your browser.
- Download the latest Windows build.
- If the file is in a ZIP folder, right-click it and choose Extract All.
- Open the extracted folder.
- Find the app file, usually an
.exefile. - Double-click the file to start the app.
- If Windows asks for permission, choose Run.
If the app does not start, make sure the file finished downloading and that you opened the extracted folder, not the ZIP file.
For normal use, a Windows 10 or Windows 11 PC is best. A system with these parts will work well:
- 64-bit Windows
- 8 GB RAM or more
- A modern CPU with 4 cores or more
- A graphics card helps with vision work
- Enough free space for app files and dataset folders
- A display set to a normal desktop size
If you plan to use local vision, dataset tools, or model files, more RAM and a faster CPU help keep the app smooth.
The app can read what is on the screen and help you test how well the vision part works. This is useful when you want to check if the app sees cards, UI parts, or battle states in a stable way.
You can try rule-based game logic and see how it responds in local test runs. This helps you work on behavior without changing the rest of your setup each time.
royale_lab can help you record deck data and inspect card sets. This is useful when you want to save structured deck info for later use.
The app includes tools for building and managing datasets. You can use them to gather samples, sort data, and prepare files for training or testing.
If you work with ONNX files, royale_lab gives you a place to load and test them in a desktop app. That makes it easier to check model output during local work.
The app uses a PyQt6 interface, so you can use buttons and windows instead of command lines. This makes the app easier to use for non-technical users.
When you open royale_lab for the first time:
- Start the app with the
.exefile. - Wait for the main window to load.
- Review the tabs or panels in the app.
- Set any folder paths you want to use for captures or datasets.
- Try a small test run before you build a larger setup.
If the app asks for a data folder, pick a folder you can find later, such as Documents\royale_lab.
A simple folder layout makes daily use easier:
Documents\royale_lab\capturesfor screen capturesDocuments\royale_lab\datasetsfor data filesDocuments\royale_lab\modelsfor ONNX filesDocuments\royale_lab\exportsfor saved output
Keep your files in one place so you can find them fast.
- Close extra apps if the tool feels slow
- Keep your screen scale at a normal setting
- Use a full-screen or fixed-size game window for cleaner reads
- Store test data with clear file names
- Use one folder per project or deck
- Save often when you work with new data
If you plan to test vision or capture tasks, a steady screen setup helps more than a fast one.
Use royale_lab to inspect bot behavior in a local test setup. This can help you compare different rules and see how changes affect results.
Use it to see how the app reads cards and game elements from the screen. This is useful when you want to tune image checks or screen parsing.
Use the deck capture tools to keep deck data in one place and review it later.
Use the dataset tools when you need to sort images, label samples, or keep training data in order.
Use ONNX support to try model files and check outputs in the app before you move them into a larger workflow.
A simple way to use the app is:
- Open royale_lab.
- Load or pick a test folder.
- Start a vision or capture task.
- Review the output.
- Save useful results.
- Repeat with new settings or new data.
This flow works well for deck work, screen reads, and dataset checks.
No. You can use the app from the Windows interface. File choice and folder setup are the main things you need to know.
Yes, if the laptop runs Windows 10 or 11 and has enough memory for local vision work.
Look for the latest Windows release file on the release page. A ZIP file usually needs extraction. An EXE file can usually run right away.
Check the release page for newer versions and download the latest build there.
- Check that the download finished
- If the file is zipped, extract it first
- Try right-clicking the file and choosing Run as administrator
- Make sure Windows did not block the file
- Check that you opened the app file, not a shortcut inside the ZIP
- Wait a few seconds for the interface to load
- Resize the window
- Close the app and open it again
- Check that your display scale is set to a normal level
- Use a clean screen layout
- Keep the game window size steady
- Reduce extra overlays
- Make sure the app points to the right screen or folder
- Check folder permissions
- Make sure the save path exists
- Use a folder inside Documents or Desktop
- Confirm the disk has free space
During use, you may work with:
.exefor the app.zipfor packaged downloads.pngor.jpgfor image captures.jsonfor saved settings or data.csvfor table-style dataset files.onnxfor model files
- Keep one clean setup for testing
- Use clear folder names
- Back up dataset files before large edits
- Test one change at a time
- Save output in a separate folder from raw input
- Use the same screen setup for repeatable results
royale_lab is built for local testing, screen analysis, deck capture, and dataset work. It fits users who want a desktop app for game-related tooling without a heavy setup.
The main focus areas are:
- Local bot logic
- Vision-based reading
- Deck capture
- Dataset workflow
- ONNX model checks
- Windows desktop use