Maintaining originality is critical in today’s programming world. A reliable code plagiarism checker like Codequiry helps detect similarities in structure and logic, even in AI-generated or modified code. With support for multiple languages and deep analysis, Codequiry enables educators and developers to uphold integrity, catch plagiarism early, and ensure every line of code reflects true effort and understanding.

1. info@codequiry.com
codequiry.com
CODE
PLAGIARISM
CHECKER TOOL
CODEQUIRY.COM

2. WHATISCODEPLAGIARISM?
Copying source code from another person, project, or AI tool
without proper credit. It includes exact copies, minor edits, or
structuralrewritesintendedtopassasoriginalwork.
WHYIT’SAGROWINGISSUE
With easy access to shared code online and the rise of AI tools
like ChatGPT, it's becoming simpler than ever to replicate or
generate code. This convenience, while helpful, increases the
risk of unintentional or deliberate plagiarism, making effective
detection more important than ever.

3. WHY USE A CODE
PLAGIARISM
CHECKER TOOL?
With the rise of collaboration and
AI-generated solutions, ensuring
code originality is more
challenging than ever. A code
plagiarism checker tool
streamlines detection, reduces
manual effort, and supports fair,
transparent evaluations across
academic and professional
environments.
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Manually identifying copied code is time-consuming and often
inaccurate. It’s difficult to spot logical similarities when code is
modified through variable renaming or formatting changes. This
method also struggles to detect AI-generated content that looks
original on the surface but replicates common patterns.
Challenges of Manual Detection
02
Plagiarized code often comes from public repositories like
GitHub, programming forums such as Stack Overflow, or AI tools
like ChatGPT and Codex. These sources make it easy for students
or developers to copy working solutions with minimal effort or
edits.
Common Sources of Copied Code

4. FEATURES OF AN EFFECTIVE TOOL
Deep Structural
Analysis
Multi-Language Support AI Code Detection
Advanced tools analyze the logic
and structure of code using
techniques like AST and control
flow analysis, going beyond
surface-level comparisons to
detect even cleverly disguised
plagiarism.
Code plagiarism checkers with
multi-language support allow
educators and developers to
analyze code written in Java,
Python, C++, and more—
ensuring versatility across
diverse programming
environments.
AI code detection identifies
patterns specific to machine-
generated code, helping users
flag submissions written by
tools like ChatGPT—making it
essential for modern
educational and professional
review.

5. WHY CHOOSE
CODEQUIRY
Codequiry is an advanced code
plagiarism checker tool that builds
on the legacy of the Stanford Moss
Plagiarism Checker. It supports
deep code plagiarism detection,
multiple programming language
compatibility, and cutting-edge AI
code detection. Ideal for academic
institutions and developers alike,
Codequiry offers a more modern,
comprehensive solution for
ensuring originality across evolving
coding environments.
Intuitive Interface for Educators
Codequiry offers a user-friendly dashboard, allowing
teachers to review flagged submissions, generate reports,
and manage bulk uploads—streamlining code evaluation
without needing technical setup.
Trusted by Universities Worldwide
Codequiry is a proven solution trusted by academic
institutions globally, offering reliable detection for
student code submissions while maintaining integrity in
grading and academic policies.
Flexible Integration with Workflows
Easily integrates into learning management systems and
classroom environments, making Codequiry a scalable
and seamless addition to any educational or competitive
programming setup.

6. Saves Time and Effort
Improves Academic Integrity
Accurate and In-Depth Analysis
Supports Multiple Languages
BENEFITS OF USING CODEQUIRY
Codequiry automates the entire plagiarism detection
process, allowing educators and professionals to scan,
compare, and analyze dozens of code submissions
efficiently—without spending hours manually reviewing
each file.
By identifying copied or AI-generated code, Codequiry
helps institutions uphold strict academic standards and
fairness. It encourages originality and discourages
unethical practices in both online learning and in-
person environments.
Using logic-based comparison and an advanced AI code
detector, Codequiry goes beyond surface-level
matching. It uncovers hidden similarities in rewritten,
restructured, or AI-generated code with impressive
precision.
Whether you're teaching Python to beginners or
managing enterprise-level Java or C++ codebases,
Codequiry is built to handle it all. Its wide language
support ensures consistency in detection across diverse
coding assignments.

7. REAL-WORLD USE CASES
www.reallygreatsite.com
Educators use Codequiry to compare student submissions and detect instances of code
sharing or AI-generated code, helping maintain academic integrity.
University Programming Assignments
Online Coding Competitions
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Event organizers rely on Codequiry to catch plagiarized or AI-assisted code in real-time,
ensuring fair competition and authentic skill assessment.
Companies implement Codequiry during peer code reviews to verify originality in
collaborative or outsourced development, reducing risks of duplicated or unauthorized
code.
Corporate Code Reviews

8. Start your free 3-day trial today and experience smarter code
plagiarism detection.
info@codequiry.com codequiry.com
THANK YOU
Whether you're an educator, developer, or organization,
Codequiry offers AI detection, multi-language support, and
deep analysis to ensure reliable and modern code plagiarism
detection.