Detect AI Written Code with 95% Accuracy
Our AI written code detection tool identifies ChatGPT, GitHub Copilot, Claude, and AI-generated code with industry-leading accuracy. Detect AI written code instantly in 51+ programming languages. Trusted by educators worldwide for reliable AI code detection.
Trusted by teams at 500+ universities including MIT, Stanford, and Harvard
AI Generated
bubble_sort.py
Human Written
quick_sort.js
Detect AI Written Code from All Major AI Tools
Our AI written code detection system identifies ChatGPT, Copilot, Claude, and all major LLM-generated code.
ChatGPT
GPT-3.5, GPT-4, GPT-5
GitHub Copilot
Microsoft's AI pair programmer
Claude
Anthropic's coding assistant
CodeT5
Salesforce's code model
Tabnine
AI code completion tool
Replit AI
Online IDE AI assistant
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 Our AI Written Code Detection Works
Detect AI written code in 3 simple steps - powerful, accurate, and built for educators
Upload your code
Drag and drop files, paste code directly, or integrate with your LMS. Supports 51+ languages.
AI Detection Analysis
Our neural network instantly detects AI written code patterns from ChatGPT, Copilot & other LLMs, checks 40B+ sources, and identifies plagiarism in seconds.
Get detailed reports
See confidence scores, highlighted matches, and actionable insights in a beautiful dashboard.
Live AI Written Code Detection Demo
See how our AI written code detection identifies AI-generated code in real-time
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 arrAI-Generated Code Detected
High confidence AI detection
// 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
The Most Advanced AI Written
Code Detection Platform
Industry-leading technology to detect AI written code. Advanced algorithms
specifically designed for AI code detection and programming plagiarism
Purpose-Built Architecture
Unlike generic plagiarism checkers, Codequiry is engineered specifically for code. Our algorithms understand syntax, logic, and structure—not just text.
Multi-Layered Detection
Three detection engines working in parallel: AI pattern recognition, structural analysis, and web source matching.
Lightning Fast
Optimized cloud infrastructure delivers results in seconds, not minutes. Batch process hundreds of submissions instantly.
40B+ Sources
Scan against GitHub, Stack Overflow, academic databases, and trillions of web pages. Plus 5TB proprietary database.
Built for Education
Designed from the ground up for educators. Bulk import from LMS, batch processing, team collaboration, and detailed reporting that works for your workflow.
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AI Written Code Detection for 51+ Programming Languages
Detect AI written code in Python, Java, C++, JavaScript and all major programming 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
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Try our platform risk-free
Educator
Full-featured plan for educators
✨ Educator pricing — Regular $299/month
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For large institutions
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