Hands-On Top 10 AI-Generated Text Detector Comparison

We conducted a benchmark of the most commonly used 10 AI-generated text detector. Here’s a quick summary of our findings:

• Best overall performance: GPTZero & Quetext – Accurate with no or minimal false positives.
• Good free option: ZeroGPT – Strong accuracy, especially with human-written text.

Explore detailed feature & pricing comparison of the top 20 AI-content detectors, along with benchmark results, and the AI detection models powering these tools:

Comparison of most common AI-generated content detectors

Disclaimer: N/A means that the vendor doesn’t publicly share its supported languages.

Ranking: Products are ranked based on the web traffic of each website.

Inclusion criteria: vendors with 10,000+ reviews on Similarweb were included.

Features:

Plagiarism detection: identifies and flags content that matches other sources, helping to ensure originality.

Plagiarism remover: helps eliminate copied content, ensuring the text is original and free from plagiarism.

Text humanizer: adjusts AI-generated text to sound more natural and human-like by refining sentence structure and tone.

Supported languages: provides the ability to detect AI-generated content in multiple languages, broadening its usability across global contexts.

Results of AI content detector tools experiment

Below is a simple breakdown of how each AI checker tool performed, including their ability to correctly identify AI and human-generated texts.

Table 1. Ratio of AI-generated texts labelled correctly

Table 2. Ratio of human-generated texts labelled correctly

Total results

AI content detectors are good at spotting AI-generated text. In one experiment, they correctly flagged 87% of AI-written content.

However, they were less accurate with human-written text. They only identified 73% of it correctly.

This shows that while detectors work well most of the time, they can still make mistakes—especially when judging human writing.

Copyleaks

Copyleaks AI Detector supports 30+ languages, and explains why content is flagged as AI.

• Detected all AI texts (100% accuracy).
• Flagged one human-written text as AI (33% false positive rate).
• A strong AI content detector, but with some risk of false positives.

ZeroGPT

ZeroGPT is a free, easy-to-use AI text detector that supports all languages, and offers detailed PDF reports with high accuracy backed by advanced DeepAnalyse technology.

• Missed one AI-generated text (84% accuracy).
• Correctly labeled all human-written texts (0% false positive).

Originality.ai

Originality.ai offers an all-in-one toolset for web publishers to check if content is AI-generated, plagiarized, or factually incorrect—helping teams publish original, accurate, and human-written text with confidence.

• Detected all AI texts.
• Mistakenly labeled one human-written text (32% false positive rate).
• Powerful at detecting AI-generated content, but not ideal for original writing checks.

Scribbr

Scribbr’s free AI detector uses advanced algorithms to spot AI-generated, AI-edited, or human-written content—offering paragraph-level insights, multilingual support, and no sign-up needed.

• Missed one AI text.
• Incorrectly flagged one human-written text (18% false positive).
• May not be the most accurate AI detector, but offers moderate performance.

GPTZero

GPTZero combines AI detection with tools like plagiarism checker, source checks and writing replays, helping users understand and preserve what’s truly human-written.

• Detected all AI-generated texts.
• Correctly identified all human-written content (0% false positives).
• Among the most accurate AI detectors in our test.

Writer AI Content Detector

Writer AI Content Detector offers an AI content detector built into a collaborative platform that helps teams check up to 5,000 words

• Fail to detect AI-generated texts (only 8%–31%).
• Rarely false flagged human-written content (5% false positive).
• Not a reliable AI writing detector for catching AI-generated text.

Sapling

This free is an AI detector tool created to distinguish between texts written by humans and machines.

• Detected all AI-written texts.
• Incorrectly labeled all human-generated content as AI (100% false positive rate).
• Highly sensitive, but not useful for distinguishing AI text from human writing.

QuillBot

QuillBot’s AI Detector not only identifies AI-generated content but also analyzes text refined with paraphrasing or grammar tools, offering detailed reports with no cost or time limits.

• Missed some AI texts with a 33% false negative ratio.
• Also falsely flagged one human-written text as AI-generated content with a 55% probability.
• A content detector with mixed results and lower precision.

Undetectable AI

Undetectable AI’s tool allows you to check if your text is flagged as AI-generated and transform it into human-like content that bypasses all major AI detection tools.

• Nearly perfect detection of AI texts with a 1% false negative ratio.
• Incorrectly labeled two human-written texts as AI-written content (66% false positive rate).

Quetext AI Content Detector

Quetext’s AI detector examines text line-by-line and flags content from major AI tools, providing a quick, detailed confidence score.

• Detected all AI-generated texts.
• Only one false positive (0% false positive rate).
• One of the most accurate AI detectors for both AI and human-written text.

How we test AI-generated text detectors

We run clear and structured tests to evaluate AI-generated text detectors. These tools help identify AI-generated content and support academic integrity, content quality, and original writing.

Step 1: Create test texts

We first selected three samples of human-written content (108, 108, and 147 words each). Then, using AI content generators, we created three similar texts (96, 108, and 148 words). All texts covered the same subjects and had similar word counts to ensure a fair comparison.

Step 2: Use top AI-content detection tools

Next, we tested each of the six texts using 10 of the most commonly used AI detection tools. These tools aim to detect AI-generated text, compare language patterns, and estimate how likely a text was written by AI. The AI-text detection column shows the average percentage of AI-generated text detected by each tool. Similarly, the human-text detection column indicates the average percentage of human-written text correctly identified by each tool.

Step 3: Record detection results

For each AI checker tool, we recorded the percentage score it gave—how likely the tool believed the text was AI-generated. This helped us see which AI text detectors are more reliable and which might give false positives by labeling human-written text as AI.

Why we need an AI-generated text detector

As AI writing tools become more advanced, the need for an AI-generated text detector grows. Here’s why:

Maintaining academic integrity

In academic settings, an AI detector helps ensure students submit original work, preventing cheating and upholding honesty by identifying AI-written content.

Ensuring high-quality content

AI detectors ensure that content remains high-quality and authentic by analyzing text for signs of AI generation. This is key for businesses and content creators who need reliable and original material.

Mitigating reputational risks and maintaining credibility

Reputation is everything in business and academia. Using an AI content checker helps prevent the publication of unreliable or misleading AI-generated content.

Providing detailed analysis

AI detectors break down content sentence by sentence, offering a thorough examination to confidently identify AI-generated text.

Enhancing the writing process

AI tools support the writing process, but AI detection ensures authenticity and originality in the final content, making sure it’s genuinely human-written.

How AI-generated content detectors work

AI-generated content detectors use several AI detection models to identify if a text was written by an AI tool. These methods rely on machine learning (ML) and natural language processing (NLP) to analyze the patterns and structure of the content. Here are four common ways AI detectors work:

1. Classifiers

Classifiers use machine learning to sort text into “human” or “AI” groups. They learn from pre-labeled examples. However, if the training data is too narrow, they may label unusual human writing as AI-generated. This can cause false positives.

2. Embeddings

Embeddings turn words into numbers for analysis. They look at word frequency and common phrases to flag AI text. But reducing complex language into vectors can lose nuance. This simplification may lead to mistakes in detection.

3. Perplexity

Perplexity measures how predictable a text is. AI-generated content often shows low perplexity. Yet, creative or unconventional human writing may have higher perplexity. This can confuse the detector and cause errors.

4. Burstiness

Burstiness examines variations in sentence length and structure. AI text is usually more uniform, so low burstiness may signal AI use. However, if an AI tool is prompted to vary its style, burstiness may not accurately mark the content as machine-generated.

Further Readings