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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 with base OCR model
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

Disclaimer: This example is provided for educational purposes only to demonstrate UI automation concepts. Do not use it with Counter-Strike 2, Steam, multiplayer games, VAC-protected games, ranking/progression systems, or any application/service where automation is prohibited by its terms of service. This project is not affiliated with, endorsed by, or sponsored by Valve, Steam, or Counter-Strike 2.

  1. Open CS2 and start a game

Code

fromapparserimportAppfromapparser.instructionsimportOCRAlgorithmfromapparser.instructions.ocrimportWaitText, ClickOnText# 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)
])
# Launch CS2app=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' 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 for automating desktop applications and interacting with UIs using AI-powered tools such as OCR and object detection models.

apparser-development.github.io/apparser/

Topics

aiapparserappsappwindowsautomationdetectionguiocrparsingpyautoguipypipypi-packagepythontext-recognitionuiyolo

Resources

Readme
BSD-3-Clause license
Activity
Custom properties

Stars

1 star

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
License - BSD 3-Clauseunit_tests
PyPI DownloadsDocumentation
PyPIGitHubIssues
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 with base OCR model
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
Disclaimer: This example is provided for educational purposes only to demonstrate UI automation concepts.
Do not use it with Counter-Strike 2, Steam, multiplayer games, VAC-protected games, ranking/progression systems,
or any application/service where automation is prohibited by its terms of service.
This project is not affiliated with, endorsed by, or sponsored by Valve, Steam, or Counter-Strike 2.
  1. Open CS2 and start a game
Code
fromapparserimportAppfromapparser.instructionsimportOCRAlgorithmfromapparser.instructions.ocrimportWaitText, ClickOnText# 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)
])
# Launch CS2app=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' 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 for automating desktop applications and interacting with UIs using AI-powered tools such as OCR and object detection models.
apparser-development.github.io/apparser/
Topics
aiapparserappsappwindowsautomationdetectionguiocrparsingpyautoguipypipypi-packagepythontext-recognitionuiyolo
Resources
Readme
BSD-3-Clause license
Activity
Custom properties
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
License - BSD 3-Clauseunit_tests
PyPI DownloadsDocumentation
PyPIGitHubIssues
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 with base OCR model
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
Disclaimer: This example is provided for educational purposes only to demonstrate UI automation concepts.
Do not use it with Counter-Strike 2, Steam, multiplayer games, VAC-protected games, ranking/progression systems,
or any application/service where automation is prohibited by its terms of service.
This project is not affiliated with, endorsed by, or sponsored by Valve, Steam, or Counter-Strike 2.
  1. Open CS2 and start a game
Code
fromapparserimportAppfromapparser.instructionsimportOCRAlgorithmfromapparser.instructions.ocrimportWaitText, ClickOnText# 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)
])
# Launch CS2app=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' 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 for automating desktop applications and interacting with UIs using AI-powered tools such as OCR and object detection models.
apparser-development.github.io/apparser/
Topics
aiapparserappsappwindowsautomationdetectionguiocrparsingpyautoguipypipypi-packagepythontext-recognitionuiyolo
Resources
Readme
BSD-3-Clause license
Activity
Custom properties
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
License - BSD 3-Clauseunit_tests
PyPI DownloadsDocumentation
PyPIGitHubIssues
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 with base OCR model
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
Disclaimer: This example is provided for educational purposes only to demonstrate UI automation concepts.
Do not use it with Counter-Strike 2, Steam, multiplayer games, VAC-protected games, ranking/progression systems,
or any application/service where automation is prohibited by its terms of service.
This project is not affiliated with, endorsed by, or sponsored by Valve, Steam, or Counter-Strike 2.
  1. Open CS2 and start a game
Code
fromapparserimportAppfromapparser.instructionsimportOCRAlgorithmfromapparser.instructions.ocrimportWaitText, ClickOnText# 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)
])
# Launch CS2app=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' 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 for automating desktop applications and interacting with UIs using AI-powered tools such as OCR and object detection models.
apparser-development.github.io/apparser/
Topics
aiapparserappsappwindowsautomationdetectionguiocrparsingpyautoguipypipypi-packagepythontext-recognitionuiyolo
Resources
Readme
BSD-3-Clause license
Activity
Custom properties
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
License - BSD 3-Clauseunit_tests
PyPI DownloadsDocumentation
PyPIGitHubIssues
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 with base OCR model
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
Disclaimer: This example is provided for educational purposes only to demonstrate UI automation concepts.
Do not use it with Counter-Strike 2, Steam, multiplayer games, VAC-protected games, ranking/progression systems,
or any application/service where automation is prohibited by its terms of service.
This project is not affiliated with, endorsed by, or sponsored by Valve, Steam, or Counter-Strike 2.
  1. Open CS2 and start a game
Code
fromapparserimportAppfromapparser.instructionsimportOCRAlgorithmfromapparser.instructions.ocrimportWaitText, ClickOnText# 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)
])
# Launch CS2app=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' 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 for automating desktop applications and interacting with UIs using AI-powered tools such as OCR and object detection models.
apparser-development.github.io/apparser/
Topics
aiapparserappsappwindowsautomationdetectionguiocrparsingpyautoguipypipypi-packagepythontext-recognitionuiyolo
Resources
Readme
BSD-3-Clause license
Activity
Custom properties
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
License - BSD 3-Clauseunit_tests
PyPI DownloadsDocumentation
PyPIGitHubIssues
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 with base OCR model
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
Disclaimer: This example is provided for educational purposes only to demonstrate UI automation concepts.
Do not use it with Counter-Strike 2, Steam, multiplayer games, VAC-protected games, ranking/progression systems,
or any application/service where automation is prohibited by its terms of service.
This project is not affiliated with, endorsed by, or sponsored by Valve, Steam, or Counter-Strike 2.
  1. Open CS2 and start a game
Code
fromapparserimportAppfromapparser.instructionsimportOCRAlgorithmfromapparser.instructions.ocrimportWaitText, ClickOnText# 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)
])
# Launch CS2app=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' 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 for automating desktop applications and interacting with UIs using AI-powered tools such as OCR and object detection models.
apparser-development.github.io/apparser/
Topics
aiapparserappsappwindowsautomationdetectionguiocrparsingpyautoguipypipypi-packagepythontext-recognitionuiyolo
Resources
Readme
BSD-3-Clause license
Activity
Custom properties
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
License - BSD 3-Clauseunit_tests
PyPI DownloadsDocumentation
PyPIGitHubIssues
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 with base OCR model
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
Disclaimer: This example is provided for educational purposes only to demonstrate UI automation concepts.
Do not use it with Counter-Strike 2, Steam, multiplayer games, VAC-protected games, ranking/progression systems,
or any application/service where automation is prohibited by its terms of service.
This project is not affiliated with, endorsed by, or sponsored by Valve, Steam, or Counter-Strike 2.
  1. Open CS2 and start a game
Code
fromapparserimportAppfromapparser.instructionsimportOCRAlgorithmfromapparser.instructions.ocrimportWaitText, ClickOnText# 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)
])
# Launch CS2app=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' 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 for automating desktop applications and interacting with UIs using AI-powered tools such as OCR and object detection models.
apparser-development.github.io/apparser/
Topics
aiapparserappsappwindowsautomationdetectionguiocrparsingpyautoguipypipypi-packagepythontext-recognitionuiyolo
Resources
Readme
BSD-3-Clause license
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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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 with base OCR model
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
Disclaimer: This example is provided for educational purposes only to demonstrate UI automation concepts.
Do not use it with Counter-Strike 2, Steam, multiplayer games, VAC-protected games, ranking/progression systems,
or any application/service where automation is prohibited by its terms of service.
This project is not affiliated with, endorsed by, or sponsored by Valve, Steam, or Counter-Strike 2.
  1. Open CS2 and start a game
Code
fromapparserimportAppfromapparser.instructionsimportOCRAlgorithmfromapparser.instructions.ocrimportWaitText, ClickOnText# 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)
])
# Launch CS2app=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' 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 for automating desktop applications and interacting with UIs using AI-powered tools such as OCR and object detection models.
apparser-development.github.io/apparser/
Topics
aiapparserappsappwindowsautomationdetectionguiocrparsingpyautoguipypipypi-packagepythontext-recognitionuiyolo
Resources
Readme
BSD-3-Clause license
Activity
Custom properties
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Contributors
Languages