Industry-leading AI detection

Detect AI-written code
with confidence

Identify ChatGPT, GitHub Copilot, and AI-generated code with 80-95% accuracy. Built for educators who need results they can trust.

Trusted by 500+ universities including MIT, Stanford, and Harvard

AI Generated

bubble_sort.py

94%
ChatGPT pattern Synthetic style
Human Written

quick_sort.js

8%
Authentic code Natural patterns
10M+
Scans
51+
Languages
Instant results
Get detection in seconds
80-95% accuracy
Industry-leading detection
51+ languages
Complete coverage

Detects all major AI tools

ChatGPT, Copilot, Claude, and more.

ChatGPT

GPT-3.5, GPT-4, GPT-5

92% Detection Rate
GitHub Copilot

Microsoft's AI pair programmer

89% Detection Rate
Claude

Anthropic's coding assistant

88% Detection Rate
CodeT5

Salesforce's code model

85% Detection Rate
Tabnine

AI code completion tool

84% Detection Rate
Replit AI

Online IDE AI assistant

82% Detection Rate

Detection rates continuously improve as our AI models learn from new patterns and are updated regularly.

Trusted by 500+ Educational Institutions

Leading universities rely on our AI detection technology

How it works

Simple, powerful, and built for educators

01

Upload your code

Drag and drop files, paste code directly, or integrate with your LMS. Supports 51+ languages.

02

AI analyzes instantly

Our neural network scans for AI patterns, checks 40B+ sources, and detects plagiarism in seconds.

03

Get detailed reports

See confidence scores, highlighted matches, and actionable insights in a beautiful dashboard.

See it in action

Real-time detection of AI-generated code

bubble_sort.py
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
AI-Generated Code Detected

High confidence AI detection

AI Confidence Score 94%
Codequiry AI Detection Engine
AI DETECTED
[14:23:01] CRITICAL Perfect docstring pattern → Synthetic code signature 94%
[14:23:02] HIGH Textbook algorithm structure → Machine learning artifact 89%
[14:23:03] CRITICAL Verbose variable naming → AI generator fingerprint 91%
[14:23:04] MEDIUM Consistent formatting → Automated generation detected 87%
VERDICT: Artificial Intelligence Generated Content | Risk Level: HIGH
sort.js
// ugh... bubble sort assignment
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
}

// test it
var nums = [64, 34, 25, 12, 22, 11, 90]
console.log("before:", nums)
console.log("after:", bSort(nums))
Human-Written Code

Low AI probability detected

AI Confidence Score 12%
Codequiry AI Detection Engine
AUTHENTIC
[14:23:05] VERIFIED Informal comment style → Authentic human signature 92%
[14:23:06] VERIFIED Inconsistent spacing → Natural cognitive pattern 88%
[14:23:07] AUTHENTIC Short variable names → Human efficiency trait 85%
[14:23:08] AUTHENTIC Practical implementation → Real-world experience 90%
VERDICT: Human Authored Content | Authenticity Level: HIGH
The Codequiry Advantage

Why Codequiry
Stands Apart

Purpose-built for code detection. Advanced algorithms
for programming plagiarism and AI

Purpose-Built Architecture

Unlike generic plagiarism checkers, Codequiry is engineered specifically for code. Our algorithms understand syntax, logic, and structure—not just text.

51+
Languages
10M+
Code Scans

Multi-Layered Detection

Three detection engines working in parallel: AI pattern recognition, structural analysis, and web source matching.

92% average accuracy

Lightning Fast

Optimized cloud infrastructure delivers results in seconds, not minutes. Batch process hundreds of submissions instantly.

Results in 2-5 seconds

40B+ Sources

Scan against GitHub, Stack Overflow, academic databases, and trillions of web pages. Plus 5TB proprietary database.

Most comprehensive coverage

Built for Education

Designed from the ground up for educators. LMS integration, batch processing, team collaboration, and detailed reporting that works for your workflow.

Canvas Integration Moodle Support Blackboard Ready API Access SSO/SAML Bulk Upload

Ready to experience the difference?

Join 500+ leading universities using Codequiry

51+ programming languages

Works across all major languages used in education.

Python
Java
JavaScript
C++
C#
PHP
Ruby
Go
Rust
Swift
SQL
R

And 38+ more languages including MATLAB, Kotlin, TypeScript, Scala, Perl, and others.

Simple, transparent pricing

Start free. Scale as you grow.

Free

$0 /month

Try our platform risk-free

Start for free
30 checks/month peer matching
51+ programming languages
MOSS v2 algorithm
Side-by-side comparison
Downloadable reports
Email support

Enterprise

Custom

For large institutions & universities

Contact sales
Unlimited everything
White-label solution
Custom AI model training
Dedicated account manager
SSO & SAML integration
Advanced audit logs
99.9% uptime SLA
24/7 phone support

Frequently asked questions

Our AI code detection achieves 80-95% accuracy through multi-layered neural networks trained on millions of code samples.
We detect ChatGPT, GitHub Copilot, Claude, Tabnine, and all major AI coding assistants with continuous updates for new tools.
We support 51+ programming languages including Python, Java, JavaScript, C++, PHP, Ruby, Go, Rust, Swift, and more.
Yes. Beyond AI detection, we scan against billions of web sources, GitHub, Stack Overflow, and previous submissions.

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