CopyLeaks AI Content Detector Review: Fact or Fiction?

Understanding CopyLeaks

CopyLeaks is a content analysis tool designed to scrutinize text for indications of plagiarism and potential copyright infringements. Its primary goal is to ensure the authenticity and originality of written content in various digital contexts, such as documents, web pages, and academic papers. 


AI Content Detection Process: Key Steps

  • Sign In: Begin by logging into the tool’s platform.
  • Input Text: Provide the tool with the text you want to analyze.
  • Text Analysis: Advanced algorithms and machine learning examine the content.
  • User Review: Users assess results and take necessary actions.
  • Repeatable Process: Allows for ongoing content monitoring.

Review Process

In our comprehensive evaluation of CopyLeaks, we followed a structured testing methodology to gauge its effectiveness in detecting both human-written and AI-generated content:

  • Phase 1 – Initial Assessment: We started with the basics by giving CopyLeaks 10 human-written pieces and 10 AI-generated ones to see how well it could tell the difference between them. 
  • Phase 2 – Precision and Reliability Assessment: In this phase, we dissected specific sections of a human-written blog and an AI-generated piece to gauge CopyLeaks’ precision. We subjected entire human-written blogs and AI-generated texts to assess the overall reliability of longer pieces.
  • Phase 3 – Deception Exploration: Lastly, in the final phase, we played around with strategies and tricks to see if we could make AI-generated content appear as if it were written by a human. This gave us insights into CopyLeaks’ strengths and weaknesses.

By implementing this rigorous testing process, we aimed to provide you with an informed perspective on CopyLeaks’ performance and its potential susceptibility to content manipulation.

PHASE 1 – Initial Assessment:

To begin, we submitted a total of 20 text samples, comprising 10 human-written pieces and 10 AI-generated articles, to CopyLeaks for analysis. The primary objective was to gauge the tool’s initial aptitude in distinguishing between content crafted by humans and content generated by artificial intelligence.

By subjecting CopyLeaks to this initial test, we aimed to gain insights into its proficiency in content differentiation, setting the stage for subsequent phases of our assessment. This phase’s outcomes laid the groundwork for a deeper understanding of CopyLeaks’ capabilities and its performance in distinguishing between human and AI-generated content.

AI Generated Content

1.  AI Generated Content

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3. AI Generated Content

4. AI Content

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6. GPT4

7. GPT3

8. yogakula

9. aitext

10. aicontentfound

  • CopyLeaks inaccurately categorized 2 of the 10 AI-generated content pieces as human-written.
  • The tool’s inability to consistently distinguish between AI-generated and human-crafted content raises concerns about its accuracy.
  • Users should exercise caution and perform manual reviews when using CopyLeaks, especially with AI-generated content.

Human Written Content

1.Human Written Content

2.2 Human Written Content

3. 2 Human Written Content

4.4 Human Written Content

5. 5-Human-Written-Content

6. 6 Human-Written-Content

7.7 Human-Written-Content

8.8 Human-Written-Content

9.9 Human-Written-Content

10.10 Human-Written-Content

  • CopyLeaks’ incorrect labeling of 4 out of 10 human-written content as AI-generated reveals a substantial flaw in its accuracy.
  • This unreliability can be concerning for users who depend on CopyLeaks for content analysis, potentially leading to incorrect conclusions and actions.
  • This discovery underscores the necessity of manual review and human oversight when utilizing CopyLeaks to ensure content authenticity.

Result of Phase 1 – Initial Assessment:

In our initial phase of testing, we uncovered concerning inaccuracies in CopyLeaks’ performance, raising questions about its reliability:

CopyLeaks demonstrated a concerning overall misclassification rate of 30% (6 out of 20), further highlighting its unreliability in distinguishing between AI-generated and human-written content.

These findings underscore CopyLeaks’ vulnerability to misidentifying the nature of content, with a substantial number of misclassifications in both categories. Such discrepancies cast doubt on the tool’s effectiveness and suggest the need for cautious interpretation of its results, emphasizing the importance of supplementary manual review to ensure accurate content analysis.

PHASE 2 – Precision and Reliability Assessment:

In this phase, we wanted to see how accurately CopyLeaks could spot differences in text. We first picked small parts from a regular human-written blog and an AI-generated piece.

Next, we tested CopyLeaks on the complete human-written blogs and AI-generated texts.

This combined phase helped us understand how precise CopyLeaks is in finding tiny differences in text, and also how dependable it is when dealing with longer documents.

It’s important because real-world documents come in all sizes and complexities. These results gave us a more complete picture of how well CopyLeaks performs in different situations.

AI Generated Content

1.1 AI Generated Content

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2.CopyLeaks AI Detection Review

Human Written Content 3

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Human Written Content

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Human Written Content ai webspero

this is human text

Results of Phase 2 – Precision and Reliability Assessment:

During this phase of testing, we encountered noteworthy inconsistencies in CopyLeaks’ performance, which brought its reliability into question:

  • AI Content Misclassification: CopyLeaks inaccurately identified parts of AI-generated content as human-generated but then incorrectly classified the entire AI-generated blog as AI content.
  • Human Content Misclassification: Similarly, parts of human-written content were wrongly recognized as AI-generated, but the whole human-written blog was subsequently labeled as human-generated.

These results indicate a significant inconsistency in CopyLeaks’ ability to classify content, both in smaller sections and in its entirety. The tool’s inability to provide uniform results within the same document highlights its unreliability, potentially leading to misleading conclusions and actions when analyzing content for plagiarism or copyright issues.

These findings underscore the importance of exercising caution and employing supplementary manual review when relying on CopyLeaks for content assessment, particularly in situations where content spans various sections and lengths.

Phase 3 – Deception Exploration:

In the final phase of our CopyLeaks evaluation, we embarked on a critical exploration aimed at uncovering the tool’s vulnerabilities, strengths, and weaknesses when confronted with deceptive tactics to pass AI-generated content as human-generated.

This phase provided crucial insights into CopyLeaks’ adaptability and its susceptibility to manipulation.

We intentionally sought to blur the lines between AI-generated and human-crafted content by employing various strategies.

It serves as a reminder of the tool’s potential susceptibility to sophisticated manipulation and calls for vigilance and supplementary manual review when assessing content authenticity.


QuillBot is a popular rephrasing tool known for its ability to rewrite text while preserving its meaning.

In our evaluation, we aimed to test CopyLeaks’ accuracy in distinguishing between AI-generated and human-written content when the QuillBot rephraser was used to modify text.

QuillBot image

QuillBot image 2

CopyLeaks unexpectedly categorized text that had undergone QuillBot rephrasing as human-generated, despite its origin as AI-generated content.

AI-generated content 11

This result highlights a potential vulnerability in CopyLeaks’ detection capabilities when dealing with rephrased text, as it can misclassify AI-generated content as human-generated, potentially leading to misjudgments.

Grammatical Errors

We intentionally introduced grammatical errors into AI-generated text, including the removal of commas, addition of extra spaces, and dashes at the end of paragraphs.

Grammaratical Errors

CopyLeaks misclassified this intentionally flawed AI-generated content as human-generated, indicating a significant oversight in its analysis.

CopyLeaks misclassified

The findings highlight the ongoing challenges in the dynamic landscape of AI-generated content and the need for continuous tool development to maintain accuracy.

AItoHumanConvertor Tool

In our assessment, we sought to test CopyLeaks’ accuracy in distinguishing AI-generated content from human-generated content when was employed without making any modifications to the text.


AItoHumanConvertor is a platform known for its ability to transform AI-generated text into human-like content while keeping the text unchanged.


CopyLeaks classified the content transformed by AItoHumanConvertor Tool as human-generated, despite the fact that no changes were made to the original AI-generated text.

original AI-generated text.

It underscores the challenge of maintaining content integrity and accurate identification in an era where AI can seamlessly mimic human writing styles.

Potential Consequences of CopyLeaks’ Unreliability for a Brand/Agency

Reputation Damage:

Misclassifications by CopyLeaks can lead to the unintentional publication of plagiarized or erroneous content, damaging a brand’s reputation and credibility.

Legal Risks:

False positives or negatives may expose brands/agencies to legal risks related to copyright infringement or plagiarism accusations.

Content Quality:

Inaccurate results can compromise the quality of published content, negatively impacting the audience’s trust and engagement.

Resource Wastage:

Misclassifications can lead to wasted time and resources spent on content revisions, edits, or legal disputes.

Competitive Edge:

Brands/agencies may lose their competitive edge if CopyLeaks fails to detect content misuse by competitors, affecting market positioning.

Operational Efficiency:

Reliance on an unreliable tool can hinder operational efficiency and content workflow management.

Client Trust:

Legal actions, content revisions, or reputation repair efforts can incur significant financial costs.

Financial Costs:

Legal actions, content revisions, or reputation repair efforts can incur significant financial costs.

Strategic Impact:

Brands/agencies may need to reevaluate their content strategies and compliance measures in response to CopyLeaks’ unreliability.

Continual Vigilance:

It becomes necessary to remain vigilant and consider additional content review mechanisms to mitigate the potential consequences of CopyLeaks’ limitations.


In our thorough evaluation, it becomes evident that CopyLeaks, despite its promise, exhibits significant unreliability. From misclassifying AI-generated content as human-written to failing to detect glaring grammatical errors, the tool demonstrated inconsistencies that cast doubt on its accuracy and effectiveness.

  • Daily Limit: CopyLeaks imposes daily usage limits on its free and paid plans, which can restrict users with high-volume content analysis needs.
  • Costly Premium Plans: The premium plans can be relatively expensive for individuals or small businesses, making it less accessible to those with budget constraints.
  • Language Support: It may not offer as extensive language support as some other plagiarism detection tools, potentially limiting its utility for non-English content.
  • False Positives: Like many plagiarism detection tools, CopyLeaks can occasionally generate false positives, flagging content as potentially plagiarized when it is not.
  • Limited Integration: It may not seamlessly integrate with all content management systems, requiring additional effort for users to incorporate it into their workflow.
  • Privacy Concerns: Users may have concerns about data privacy when using a cloud-based service like CopyLeaks, especially for sensitive or confidential documents.
  • Limited File Types: It may have restrictions on the types of files it can analyze, potentially requiring users to convert certain formats before analysis.

These findings underscore the importance of user vigilance and supplementary manual review when utilizing CopyLeaks for content analysis. While it can be a valuable tool in the content detection landscape, our assessment highlights the need for caution and an understanding of its limitations. 

Ultimately, our experiments have illuminated the unreliability of CopyLeaks, emphasizing the need for continual improvement in the realm of content analysis tools.

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Rahul Vij

Co-founded WebSpero solutions about a decade ago. Having worked in web development- I realized the dream of transforming ideas sketched out on paper into fully functioning websites. Seeing how that affected the customers’ generation of leads and conversions, I wanted to delve deeper into the sphere of digital marketing. At Webspero Solutions, handling operations and heading the entire Digital Marketing Field – SEO, PPC, and Content are my core domains. And although we as a team have faced many challenges, we have come far learning along and excelling in this field and making a remarkable online reputation for our work. Having worked in building websites and understanding that sites are bare structures without quality content, the main focus was to branch into optimizing each website for search engines. Investing in original, quality content creation is essential to SEO success in the current search climate. Succeeding in this arena ensures the benefits of producing visitor-friendly content. Directing all our teams to zoom in on these factors has been a role that I have thoroughly enjoyed playing throughout these years. linkedin