Announcement: We're thrilled to announce that our new AI Detector is now in beta! This powerful tool can identify code copied or written by AI tools like ChatGPT, Claude, Gemini, and more.

The Leader in Code Plagiarism Detection

Protecting 500+ institutions from the growing threat of code plagiarism

Find unoriginal code and software similarity with the most advanced plagiarism detection solution. Investigate potential copied code by highlighting similarities to billions of sources on the web or from submitted peers. Check the similarity of two or more source codes and view highlighted matches. Our easy to use web app can handle all your checking needs in a flash, no downloads, no mess, all contained in your own private checking dashboard.

Meaningful Results

Codequiry was built around source code detection, this means the results you get are meaningful and reliable. Submissions undergo rigorous checks to ensure that code submissions are original. Proven to end code copying in most academic and professional settings.

Smart Matching

Codequiry looks beyond the cosmetics, finding similarities in logic patterns and unique style of code. Altering variables, whitespace, function names, comments, or many other cosmetic features will not affect overall similarity results. Our algorithm and plagiarism detection is constantly improving.

Extensive Reach

Codequiry compares code submissions both internally and externally. First, submissions are extensively checked against one another with our comprehensive peer to peer check. Then, submissions are checked against billions of sources of code on the web. Read a case study

Proven to detect the highest number of code plagiarism cases.

Codequiry's results are highly detailed and allow you investigate any suspicious cases of code plagiarism, allowing you to conclude with certainty if portion of code is copied.

  • Check against over 20 billion lines of public code
  • Matches from GitHub, StackOverflow, our database and millions of more sites
  • Measure software similarity (MOSS alternative)
  • 2D diagram of submission similarity by distance
  • Matched snippets with detailed viewer
  • Pie chart of sources used in code
  • Automatically recognizes base code
  • See highlighted matches from billions of sources on the web
  • Estimated confidence level of overall submission originality
  • More accurate and greater depth than Copyleaks, Moss, JPlag, etc.
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What Our Users Say
UC Berkeley
Codequiry has transformed how we handle academic integrity in our programming courses. Thanks to its unmatched ability to detect plagiarism and collusion from sources like GitHub, Stack Overflow, and even obscure coding forums, we've significantly raised the bar for originality and fairness in our classrooms. The clear reports and seamless integration into our workflow have made Codequiry indispensable.
Martinez
Instructor, IIT Virtual Academy
University of Michigan
Before Codequiry, I was spending 40% of my time investigating suspected plagiarism, often with inconclusive results. Now I spend 2% of my time on this, with 100% confidence in the outcomes. My students know they can't cheat, so they actually learn. It's transformed my entire teaching experience.
Dr. Amanda Chen, Dean of Engineering,
Major Research University System
IIT Delhi
Since integrating Codequiry into our IIT classrooms, we were amazed at how many students were blatantly copying code from public repositories. In one striking case, Codequiry flagged a student using legacy GitHub code originally submitted by a previous cohort—an infraction we would never have caught manually. Thanks to Codequiry’s deep-web search and peer-comparison engine, we can now uphold academic fairness with complete confidence.
Prof. Kumar
Computer Science Department, IIT Delhi
University of Oxford
The AI detection capabilities are beyond anything I imagined possible. Codequiry caught students using sophisticated obfuscation techniques and AI-generated code that would have taken our team weeks to identify manually—if we could identify them at all. The peace of mind is invaluable.
Dr. Smith
Department of Engineering Science, University of Oxford
MIT
We use Codequiry for our programming competitions and it has been a game changer. The peer comparison feature is especially useful for detecting collaboration and code sharing among participants. The results are fast and reliable.
Ms. Johnson
Programming Club, MIT
Stanford University
As an educator, I appreciate how Codequiry helps maintain academic integrity in my classes. The platform is easy to use and the visualizations make it simple to explain results to students. It's an essential tool for modern education.
A.P David
Computer Science, SJSU

Self-service plagiarism checker for code

Codequiry's plagiarism engine runs against both internal and external sources to detect all forms of unoriginal code. Codequiry was built with the advanced requirements for detecting source code similarity and plagiarism.

Start checking now

Peer Check

The most comprehensive test for checking similarity within a group of provided submissions. Compares the unique fingerprint of one code base to another, detecting logical similarites and instances of code similarity in a group of submissions. Useful for computer science classrooms, interview coherts, coding competitions, and more.

Web Check

A test for plagiarism that compares code to over 100 million sources of code from major public and private repositories, as well as over 2 billion instances of code on the visible web. See similarities and highlighted matches to external sources. Use the web check on one submission or a whole group, even run it with a group similarity check.

We make code plagiarism checking as easy as it should be.

Find unoriginal code and software similarity with the most advanced plagiarism detection solution. Investigate potential copied code by highlighting similarities to billions of sources on the web or from submitted peers. Catch cheating before it runs rampant.

Import Files

1. Upload code and start checks

Specify the programming language, then drag and drop the submissions you wish to check plagiarism or similarity for. Run different types of tests: peer, database, or web check.

Get Results

2. See realtime progress

See realtime checking progress and get results back instantly when your checks are completed. Codequiry's average time from starting checks to receiving results is 1-20 minutes.

Inspect Matches

3. View insights and detailed results

An overview of similarity results will be available in the form of cluster graphs, match tables and histograms. Inspect individual code submissions in detail, with highlighted snippets of matches found in source code, and other useful insights.

Highlighted Matches

4. See what snippets matched

See exactly what portions of code were copied or similar. From all over the web, access to our proprietary database scan and over 20 billion sources we have indexable. Just click through the matches!

Codequiry Supports Every Major Programming Language

Our checker supports over 50 programming languages, including popular ones such as Java, Python, C, C++, JavaScript, PHP, C#, TypeScript, Swift, Ruby, Go, SQL, MATLAB, Perl, Assembly, Kotlin, R, Rust, HTML/JavaScript, VB, XML, Haskell, Lisp, Pascal, Groovy, Dart, Shell, Scala, Objective-C, Lua, Elixir, Markdown, CoffeeScript, Erlang, F#, Fortran, Haxe, Scheme, Tcl, Ada, COBOL, VHDL, Lex, and Yacc.

Additionally, we provide custom options and auto-detect capabilities, ensuring comprehensive and reliable plagiarism detection across diverse coding environments!

Start checking source code today
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.

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