Detect AI Written Code and Plagiarism
Safeguard academic and professional code with advanced AI-written code detection, plagiarism scanning, and collusion analysis. Codequiry empowers you to ensure every submission is original, authentic, and human-made.
98%+ Detection Accuracy
Instant Analysis
Scan Billions of Sources
Detect Code Collusion
Highly-likely ChatGPT
82% AI ConfidenceVery-Likely Human
16% AI ConfidenceTrusted by 500+ institutions
Empowering academic integrity worldwide
99.8%
Accuracy
50+
Languages
500+
Institutions
10M+
Submissions
A Comprehensive Suite for Code Authenticity
Our platform delivers a multi-faceted analysis of code submissions, providing deep insights into originality, authorship, and potential misconduct.
Precision AI & Model Detection
Analyzes the digital "DNA" of code—evaluating complexity, structure, and style to distinguish human nuance from machine generation with unparalleled accuracy.
Comprehensive Integrity Scans
Detects traditional plagiarism against billions of web sources and GitHub repos, while also identifying sophisticated student-to-student collusion.
Seamless Workflow Integration
Integrates directly into your existing workflow with LMS plugins and provides clear, actionable reports, making integrity checks effortless.
A Clear Path to Code Integrity
Our streamlined three-step process makes ensuring academic integrity effortless. From submission to report, get clear results in seconds.
1. Submit Code
Upload code files individually, in batches, or integrate with your existing LMS for seamless submissions.
2. Analyze & Compare
Our AI engine analyzes code for AI patterns and cross-references it against our massive global database.
3. Get Reports
Receive detailed, easy-to-understand reports with confidence scores and actionable insights in seconds.
Uncovering the Digital Fingerprints
Our engine looks beyond surface-level similarities to analyze the underlying characteristics of the code. See how we distinguish between human and AI authorship.
def bubble_sort(arr: list[int]) -> list[int]:
"""
Sorts a list of integers in ascending order
using the Bubble Sort algorithm.
Args:
arr (list[int]): The list of integers to sort.
Returns:
list[int]: The sorted list.
"""
n = len(arr)
for i in range(n):
swapped = False
for j in range(0, n - i - 1):
if arr[j] > arr[j + 1]:
# Swap elements
arr[j], arr[j + 1] = arr[j + 1], arr[j]
swapped = True
if not swapped:
break
return arr
Verdict: Highly Likely AI
Our model is 95% confident this code was AI-generated.
Key Detection Signals
Perfect Styling & Docstrings
Follows PEP 8 style and includes detailed docstrings, typical of AI perfection.
Textbook Optimization
Includes the standard `swapped` flag optimization found in most computer science textbooks.
Verbose Variable Names
Uses self-documenting names like `arr`, `n`, and `swapped` where a human might use shortcuts.
// bubble sort... seriously?
function bSort(a){
for(var i=0; i < a.length; i++){
for(var j=0; j < (a.length-i-1); j++){
if(a[j] > a[j+1]){
var temp = a[j]
a[j] = a[j+1]
a[j+1] = temp
}
}
}
return a
}
Verdict: Very Likely Human
Our model is 12% confident this code was AI-generated.
Key Human Indicators
Imperfect Styling
Inconsistent spacing and use of `var` shows a more natural, less machine-like style.
Cryptic Naming
`bSort`, `a`, `j`, and `temp` are common human shortcuts that AI models are trained to avoid.
Dismissive Comment
The single, informal comment reveals a human-like personality and context.
Transparent, Scalable Pricing
Find the ideal plan to uphold integrity at your institution. All plans are backed by our commitment to continuous improvement and dedicated support.
Free Trial
A 3-day trial to experience the full power of our AI detection.
- 5 Code Submissions
- Standard AI Detection
- Web Plagiarism Scan
- LMS & IDE Integrations
AI Detector
Our powerful AI Detector is now included for free with any Codequiry Pro plan.
- 5,000 Submissions/Month
- Advanced AI & Model Detection
- Full Plagiarism & Collusion
- LMS & IDE Integrations
Enterprise
For large-scale deployments requiring custom limits, security, and support.
- Unlimited Submissions
- Bleeding-Edge AI Models
- Dedicated Account Manager
- Custom Integrations & SSO
Frequently Asked Questions
Find answers to common questions about our AI code detection platform. If you don't find what you're looking for, our team is always here to help.
Uphold Academic Integrity with Confidence
Join over 500 educational institutions and ensure fairness and originality in every line of code. Get started with your free trial today.
Start Your Free Trial NowIntegrate with Your Existing Workflow
Our platform seamlessly connects with your favorite development tools and learning management systems, making code authenticity verification a natural part of your workflow.
IDE Extensions
Real-time code analysis directly in VS Code, IntelliJ, PyCharm, and Eclipse.
LMS Plugins
Automate submission checks and grading in Moodle, Canvas, and Blackboard.
Powerful API
Build custom workflows with our comprehensive REST API and webhooks.
Our Mission
Codequiry aims to achieve an equally fair environment for fields relating to computer science by preventing the use of unoriginal and plagiarised code. The first step to preserving academic integrity and original source code starts with us.
Disclaimer: Brand logos are trademarks of their respective owners. Codequiry isn't affiliated with or endorsed by these brands. Teams or individuals from these organizations independently use Codequiry under various subscription plans.

Company
Resources
- A code similarity checker
- Check your code for plagiarism
- Automatically grade your coding assignments
- Check java code for plagiarism
- Codequiry Code Checking API
- Codequiry releases updated insights page
- Codequiry vs. Moss
- How to detect plagiarism in source code
- How a Code Plagiarism Detector Helps the IT Industry?
- Codequiry vs. Turnitin: The Best Code Plagiarism Checker
© 2018 - 2025 Codequiry LLC., CQ Pvt Ltd.
Headquarters: 535 Mission St, San Francisco, CA 94105 • India Office: Regal Building, New Delhi, India