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Apparser

Apparser is a Python library for automating desktop applications and interacting with UIs using AI-powered tools such as OCR and object detection models.

Installation

# Base Apparser package
pip install apparser

# Apparser with text recognition support
pip install "apparser[ocr]"

# Apparser with text-to-speech support
pip install "apparser[speak]"

# Apparser with object detection support
pip install "apparser[cv]"

# Apparser with all optional features
pip install "apparser[all]"

Examples

  1. Open CS2 and start a game

Code

from apparser import App
from apparser.instructions import OCRAlgorithm
from apparser.instructions.ocr import WaitText, ClickOnText
from apparser.text_readers import ScreensController, RapidOcrReader

# Text labels that the OCR algorithm will look for on the screen.
play_button = "play"
deathmatch_button = "deathmatch"
group_button = "hostage group"
start_button = "go"

# Create OCR-based algorithm.
algorithm = OCRAlgorithm([
    # Wait for the main menu and open the play screen.
    WaitText(play_button),
    ClickOnText(play_button),
    # Select the deathmatch mode.
    WaitText(deathmatch_button),
    ClickOnText(deathmatch_button),
    # Select the hostage group and start the match.
    WaitText(group_button),
    ClickOnText(group_button),
    ClickOnText(start_button, min_similarity=0.5),
], text_reader=ScreensController(RapidOcrReader()))

# Launch CS2
app = App(['cmd', '/c', 'start', 'steam://rungameid/730'], timeout=20)

# Run the prepared scenario against the application UI.
algorithm.perform(app.ui)

Video

Docs

Full documentation is available here
Package page on PyPI

Donation

If you'd like to financially support the developers for their work:

Donation link

For Developers

  1. If something doesn't work, open an issue.
  2. If you want something fixed, open an issue.
  3. If you can help with the library, email us.

apparser.development@gmail.com

Contributions are welcome!

About

Apparser is a Python library designed for automating desktop applications and managing UI using artificial intelligence, such as OCR or object detection models.

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