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A desktop automation tool for image recognition.

Project description

pyauto-desktop

The resolution-agnostic, high-performance automation library for Python.

📘 Documentation: Read the full docs here

Built on mss and OpenCV. Designed for scalability. Includes a built-in GUI Inspector.

pyauto-desktop is a drop-in replacement for pyautogui designed for developers who need their automation scripts to work across different monitors, resolutions, and scaling settings (DPR).

It introduces the concept of a Session: a portable definition of your development environment that allows your code to auto-scale intelligently on any target machine.


Why Switch?

Most automation libraries fail when moved from a Dev machine (e.g., 4K monitor, 125% scale) to a Production machine (e.g., 1080p, 100% scale). pyauto-desktop solves this mathematically.

Feature pyauto-desktop pyautogui
Cross-Resolution&DPR Automatic. Uses Session logic to scale coordinates & images automatically. Manual. Scripts break if resolution changes.
Performance Up to 5x Faster. Uses mss & Pyramid Template Matching & Image caching. Standard speed.
Logic locateAny / locateAll built-in. Finds first or all matches from a list of images. Requires complex for loops / try-except blocks.
Tooling Built-in GUI Inspector to snip, edit, test, and generate code. None. Requires external tools.
Backend opencv-python, mss, pynput pyscreeze, pillow, mouse

💻 Operating System Support

  • Windows:Tested and Supported.
  • Mac / Linux: ⚠️ Experimental. While the underlying libraries (OpenCV, Qt6) are cross-platform, these environments have not been verified. Use at your own risk.

📦 Installation

pyauto-desktop relies on robust standard libraries like OpenCV and Qt6.

pip install pyauto-desktop

The Core Concept: The "Session"

In pyautogui, you write code for your screen. If you share that script, it usually fails on other screens.

In pyauto-desktop, you define a Session that records your source resolution and DPR. At runtime, the library compares your source environment with the current machine and automatically scales all clicks and image searches.

The result: the same script works across 1080p, 1440p, 4K, and retina displays without modification.


1. The GUI Inspector (No More Guessing Coordinates)

You don’t write the automation code by hand. Instead, open the Inspector to:

  • Snip UI elements directly from the screen
  • Test image matches in real time
  • Auto-generate production-ready Python code
import pyauto_desktop

# Opens the snipping and code generation tool
pyauto_desktop.inspector()

2. Generated Code Example

The code below works on a 1080p screen, a 4K screen, or a retina display without modification.

import pyauto_desktop

# Define the environment where you CREATED the script (e.g., your 1440p monitor)
# The library detects the CURRENT screen at runtime and scales accordingly
session = pyauto_desktop.Session(
    screen=1,
    source_resolution=(2560, 1440),
    source_dpr=1.25,
    scaling_type="dpr"
)

# Search for the image
# 'grayscale' and 'confidence' behave like standard automation tools
# 'use_pyramid=True' (default) handles slight size variations in the UI
image = session.locateOnScreen(
    'images/submit_btn.png',
    grayscale=True,
    confidence=0.9
)

if image:
    session.click(image)

⚠️ Important Note on Auto-Scaling & Confidence

The auto-scaling logic is robust, but not perfect. It is possible when an image is scaled down, a small amount of pixel detail can be lost, which affects template matching that could require confidence score tweaking.


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