Detect AI-Written Code
in Seconds
Two rebuilt detection models now catch ChatGPT, GPT-5.1, Claude, Gemini, and Copilot with high accuracy, scoring every submission for AI-generated code. Built for academic integrity and technical hiring.
Two AI code detectors, both free to use
Run either model on any submission. Each looks at the problem from a different angle, so together they give you a more reliable read on AI-generated code.
AI Classification Model
A neural classifier trained on 100,000 AI-generated and 100,000 human-written code samples. It returns an AI-probability score on every check and is continuously retrained to keep pace with the latest models.
- Trained on 100,000 AI plus 100,000 human code samples
- Always updated to the latest models, including GPT-5.1, Claude, and Gemini
- Returns a calibrated AI-probability score per submission
Pattern & Style Recognizer
A separate model that profiles structural patterns, logic flow, and coding style rather than surface text. It flags AI-like authorship even after variables are renamed or code is reformatted.
- Analyzes structure, logic flow, and coding style
- Resistant to variable renaming and reformatting
- Complements the classifier for higher-confidence results
See AI Code Detection in Action
Our AI code detector instantly analyzes code patterns, syntax styles, and structural elements to distinguish between human-written and AI-generated code.
/** AI-generated: polished, template-like */
public class GradeCalculator {
/**
* Computes an average and returns a letter grade.
* @param scores Array of scores (0-100).
* @return Grade string based on average.
*/
public String grade(int[] scores) {
if (scores == null || scores.length == 0) {
return "N/A";
}
int total = 0;
for (int s : scores) total += s;
int avg = total / scores.length;
return avg >= 90 ? "A" : avg >= 80 ? "B" : avg >= 70 ? "C" : "D";
}
}// human: quick fix for Friday grades
class GradeCalc{
String grade(int[] scores){
// no scores? idk, just "F"
if(scores==null||scores.length==0) return "F";
int sum=0;
for(int s:scores) sum+=s; // TODO drop lowest?
int avg=sum/scores.length;
if(avg>= 90) return "A"; // ok
if(avg>= 80) return "B";
return "C"; // whatever
}
}What your AI-probability score means
Every submission gets a single score from 0 to 100. Here is exactly how to read it, and what we recommend doing at each level.
Style, structure, and logic look hand-written. Safe to clear in most academic and hiring reviews.
Mixed signals, often partial AI assistance or heavy editing. Open the report and check the flagged sections.
Strong templated patterns and low style entropy typical of frontier models. Follow up with the submitter.
Detects All Major AI Coding Tools
Our generalized model is continuously trained on code from current frontier AI systems to keep detection accurate as new platforms emerge.
How Our AI Code Detector Works
Detect AI written code in three simple steps using our powerful detection engine.
Upload Your Code
Submit individual files or entire projects. We support 65+ programming languages including Python, JavaScript, Java, C++, and more.
AI Analysis
Both models run on your submission. The classifier scores AI probability while the pattern recognizer profiles structure, logic flow, and coding style.
Get Results
Receive detailed reports showing AI detection probability, flagged sections, and confidence scores for each submission.
Advanced AI Code Detection Features
Our AI code detector is built with cutting-edge technology to provide the most accurate and comprehensive detection available.
Trained on 200K Samples
Our classification model is trained on 100,000 AI-generated and 100,000 human-written code samples, and is continuously updated to the latest models including GPT-5.1, Claude, and Gemini.
90% Accuracy Rate
Industry-leading detection accuracy achieved through multi-layered neural networks analyzing millions of human and AI-generated code samples.
65+ Languages
Comprehensive support for all major programming languages including Python, JavaScript, Java, C++, TypeScript, Go, Rust, and many more.
Real-Time Detection
Get instant results with our optimized detection pipeline. Analyze code in seconds, not minutes, with detailed confidence scoring.
Evasion Resistant
Our detection resists common bypass techniques. Variable renaming, reformatting, and minor edits don't fool our deep pattern analysis.
Detailed Reports
Receive comprehensive analysis reports with line-by-line flagging, confidence scores, and evidence supporting each detection.
Who Uses Our AI Code Detector?
Our AI code detection is trusted by teams and organizations worldwide to maintain code authenticity and integrity.
Universities & Colleges
Ensure academic integrity in computer science courses. Detect when students submit AI-generated code for programming assignments, projects, and exams. Built for universities and engineering teams worldwide.
Coding Bootcamps
Verify that bootcamp students are genuinely learning to code rather than relying on AI assistants. Ensure graduates have real programming skills valued by employers.
Technical Hiring
Screen coding assessments and take-home tests for AI-generated solutions. Ensure candidates demonstrate authentic programming abilities during the hiring process.
Coding Competitions
Maintain fairness in hackathons and programming competitions. Detect AI-assisted submissions to ensure all participants compete on equal footing.
65+ Programming Languages Supported
Our AI code detector works across all major programming languages and paradigms.
AI Detection FAQs
Quick answers about accuracy, coverage, speed, and safeguards.
Is the AI code detector free?
Yes. Both detection models are free to use, in free mode or on a free trial. No credit card is required to get started, and you can cancel anytime.
What are the two detection models?
The first is an AI Classification Model, a neural classifier trained on 100,000 AI-generated and 100,000 human-written code samples and continuously updated to the latest models. The second is a Pattern and Style Recognizer that profiles structure, logic flow, and coding style. You can run either, and together they give a more confident result.
How accurate is your AI code detection?
We see 80 to 90% accuracy on current LLMs, with continuous model refreshes as new AI coding tools are released. Every check returns an AI-probability score rather than a simple yes or no, so you stay in control of the judgment call.
Which AI coding tools can you detect?
GPT-5.1, ChatGPT, GitHub Copilot, Claude, Grok, Gemini, Cursor, and other major AI coding assistants. Our generalized model targets shared AI patterns, so it keeps working as new platforms appear.
What programming languages are supported?
65+ languages including Python, JavaScript and TypeScript, Java, C and C++, C#, Go, Rust, PHP, Swift, Kotlin, R, SQL, and many more across every major paradigm.
Can students bypass the detector?
We analyze structural patterns, logic flow, and coding style, so simple rewrites, reformatting, or variable renames do not evade detection. The signals that matter persist even after surface edits.
How do you prevent false positives?
We combine AI-probability scores with peer comparison and web checks, plus thresholds tuned to minimize false flags. Results are designed to support a human review, not replace it.
How long does AI detection take?
Typical checks complete in seconds. Larger batches may take a bit longer but remain near real-time, so you can grade or screen submissions without waiting.
Do you store submitted code?
Code is processed for detection and storage follows our privacy policy. Contact us for details on data handling and retention options for your institution.
More AI Detection FAQs
Additional details from our knowledge base.
Try AI code detection free
Run both detection models in free mode or start a free trial. No credit card to get started, and you can cancel anytime.