Industry-Leading AI Code Detection

Detect AI-Written Code by ChatGPT, Gemini , and more...

Detect AI written code with 90% accuracy. Our generalized detection model identifies code from GPT-5.1, ChatGPT, GitHub Copilot, Claude, Grok, Gemini, Cursor and all major AI coding assistants.

90% Detection Accuracy
65+ Languages Supported
Trusted by Educators Worldwide

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
97% AI Detected
public class PatientLabAnalyzer {
  /**
   * Analyzes patient blood test results and generates diagnostic report.
   * @param patientId Unique identifier for the patient
   * @param hemoglobinLevel Hemoglobin concentration in g/dL
   * @param whiteBloodCellCount WBC count in cells/µL
   * @return DiagnosticReport containing analysis results
   * @throws InvalidParameterException if parameters are invalid
   */

  public DiagnosticReport analyzeBloodTest(
      String patientId,
      double hemoglobinLevel,
      int whiteBloodCellCount) {
    
    // Validate input parameters
    if (patientId == null || patientId.isEmpty()) {
      throw new InvalidParameterException("Patient ID cannot be null or empty");
    }
    
    // Check if hemoglobin level is within normal range (12-17 g/dL)
    boolean isHemoglobinNormal = hemoglobinLevel >= 12.0 && hemoglobinLevel <= 17.0;
    
    // Create and return diagnostic report
    return new DiagnosticReport(patientId, isHemoglobinNormal);
  }
}
Human Written
92% Human
public class LabChecker {
  // blood test checker - Sarah's code from 2019
  public String checkBlood(String pid, double hgb, int wbc) {
    if(pid==null) return null; // idk what to return here lol
    
    // hemoglobin check - normal is like 12-16 i think?
    // TODO: double check these ranges with Dr. Martinez
    if(hgb < 12) {
      System.out.println("LOW HGB ALERT: " + pid);
      // send email to nurse station
      emailNurse(pid, "low");
    }
    
    // wbc super high = infection maybe
    if(wbc > 15000) flagForReview(pid);
    
    return "ok";
  }
}

Detects All Major AI Coding Tools

Our generalized model is continuously trained on code from the latest and most advanced AI systems, ensuring accurate detection across all platforms.

🤖
GPT-5.1
OpenAI
💬
ChatGPT
OpenAI
🚀
GitHub Copilot
Microsoft
🎭
Claude
Anthropic
Grok
xAI
Gemini
Google
🖱️
Cursor
Cursor AI
☁️
CodeWhisperer
Amazon
🔮
Tabnine
Tabnine
💎
Codeium
Codeium

How Our AI Code Detector Works

Detect AI written code in three simple steps using our powerful detection engine.

1
📤

Upload Your Code

Submit individual files or entire projects. We support 65+ programming languages including Python, JavaScript, Java, C++, and more.

2
🧠

AI Analysis

Our generalized neural network analyzes code patterns, syntax styles, logic structures, and semantic features to detect AI signatures.

3
📊

Get Results

Receive detailed reports showing AI detection probability, flagged sections, and confidence scores for each submission.

90%
Detection Accuracy
65+
Languages Supported
10M+
Code Samples Analyzed
500+
Universities Trust Us

Advanced AI Code Detection Features

Our AI code detector is built with cutting-edge technology to provide the most accurate and comprehensive detection available.

Generalized AI Model

Our detection model is trained on code from all major LLMs including the latest GPT-5.1, Claude, Gemini, and more — detecting AI patterns across any source.

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. Trusted by 500+ higher education institutions 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.

Python JavaScript TypeScript Java C++ C# C Go Rust Ruby PHP Swift Kotlin Scala R MATLAB SQL Perl Haskell Lua Shell/Bash PowerShell Objective-C Dart Julia Elixir F# Clojure Assembly VHDL Verilog And 35+ More

AI Detection FAQs

Quick answers about accuracy, coverage, speed, and safeguards.

How accurate is your AI code detection?
We see 80–90% accuracy on current LLMs with continuous model refreshes.
Which AI tools can you detect?
GPT-5.1, ChatGPT, GitHub Copilot, Claude, Grok, Gemini, Cursor, and other major AI coding assistants.
What languages are supported?
65+ languages including Python, JavaScript/TypeScript, Java, C/C++, C#, Go, Rust, PHP, Swift, Kotlin, R, SQL, and more.
Can students bypass the detector?
We analyze structural patterns, logic flow, and style so simple rewrites or variable renames do not evade detection.
How do you prevent false positives?
We combine AI probability scores with peer comparison and web checks, plus thresholds tuned to minimize false flags.
How long does AI detection take?
Typical checks complete in seconds; larger batches may take a bit longer but remain near real-time.
Do you store submitted code?
Code is processed for detection; storage follows our privacy policy. Contact us for data handling and retention options.
@once @endonce

More AI Detection FAQs

Additional details from our knowledge base.

Our AI written code detection achieves 80-90%+ accuracy when detecting AI-generated code through multi-layered neural networks trained on millions of code samples. We prioritize false positive reduction, preferring to miss AI-written code rather than incorrectly flag human-written code. When we flag code as AI-generated, it's based on concrete indicators and distinctive patterns that separate machine-generated code from human coding styles.
We can detect AI written code from ChatGPT (GPT-4o, GPT-5, GPT-5.1), GitHub Copilot, Claude (3.5, 4, Opus), Grok, Google Gemini, Cursor AI, Amazon CodeWhisperer, Meta Llama, and all major AI coding assistants. Our General AI Detection model catches any AI-generated code patterns.
We support 65+ programming languages including Python, Java, JavaScript, C++, PHP, Ruby, Go, Rust, Swift, and more.
While no AI detection system is 100% foolproof, our multi-layer fingerprint verification makes it extremely difficult to bypass. We use proprietary pattern recognition trained on LLM writing signatures that go beyond simple text analysis. Students who heavily modify AI-generated code may reduce detection confidence, but distinctive AI patterns often remain. We continuously update our models to detect new evasion techniques.
We prioritize false positive reduction, preferring to miss AI-written code rather than incorrectly flag human-written code. When we flag code as AI-generated, it's based on concrete indicators and distinctive patterns that separate machine-generated code from human coding styles.
AI detection typically takes 10-30 seconds per submission, depending on the code size and complexity. Results are generated in real-time and displayed alongside your plagiarism detection results in a unified report.
Code submissions are processed securely and can be stored in your account for your records and comparison purposes. We never share your code with third parties or use it to train external AI models. You maintain full control over your data and can delete submissions at any time.

Ready to Detect AI Written Code?

Start using the world's most advanced AI code detector today. Plans start at $599/month for teams ready to protect code integrity.