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: Copyleaks – Highly accurate in AI detection, with a modest 11% false positive rate.
- Strong alternatives: GPTZero and Pangram – Both achieved above-average accuracy, particularly strong in identifying 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:
AI content detector tools benchmark
Below is a simple breakdown of how each AI checker tool performed, including their ability to correctly identify AI and human-generated texts.
Results by AI-text detectors
AI content detectors are good at spotting human-written text. In one experiment, they correctly flagged 88% of human-generated content.
However, they were less accurate with AI-generated text. They only identified 71% 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 (11% false positive rate).
- A strong AI content detector, but with minimum risk of false positives.
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 AI-generated and human-written texts with high accuracy.
- Among the most accurate AI detectors in our test.
Pangram
Pangram AI Detector provides a tool for detecting AI-generated content. It supports multiple languages and is easy to use for content creators and educators alike.
- Detected AI texts with 85% accuracy.
- Correctly identified all human-written texts (100% accuracy).
- A highly reliable AI content detector, especially strong at correctly recognizing human-written text, making it a solid choice for maintaining content integrity.
Originality AI
Originality AI offers advanced features 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 from ChatGPT and DeepSeek, but missed AI content generated by Gemini.
- Overall detection accuracy is around average for both AI-generated and human-written texts.
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 three AI texts, resulting in 69% AI-text detection accuracy.
- Incorrectly flagged one human-written text as likely AI (6% false positive rate).
- Moderate performance; not the most accurate, but still useful for general AI content checks.
Sapling
This is a free AI detector tool created to distinguish between texts written by humans and machines.
- Detected AI-written texts perfectly.
- Incorrectly labeled four human-generated contents as AI (45% false positive rate).
- Open to improvements for distinguishing AI-generated text from human writing..
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.
- Above the average detection of AI texts with a 29% false negative ratio.
- Incorrectly labeled three human-written texts as AI-written content (34% false positive rate).
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 all AI texts generated by Gemini and reached a 49% false negative ratio.
- Also falsely flagged one human-written text as AI-generated content with a 55% probability.
- Effective at detecting AI text, but less accurate with human-written content.
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 four AI-generated texts from Gemini and DeepSeek, resulting in 41% AI-text detection accuracy.
- Correctly labeled all human-written texts (0% false positive).
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 (10% average accuracy).
- Rarely false-flagged human-written content (3% false positive).
- Not a reliable AI writing detector for catching AI-generated text.
Results of other research on this topic
Recent studies highlight the variability and limitations of AI text detection tools:
Artificial writing and automated detection – evaluated Pangram, Originality AI, and GPTZero,. Commercial detectors outperformed open-source tools, with Pangram achieving near-zero false positive and negative rates across text lengths, genres, and AI models.1
AI vs academia: Experimental study on AI text detectors’ accuracy in behavioral health academic writing – tested free and paid detectors on 300 texts (100 ChatGPT, 100 Claude, 100 human-written). Free tools flagged ~27% of human text as AI, while Originality AI performed better but struggled with Claude-generated content, showing limitations in enforcing strict detection policies.2
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense – introduced a defense using semantically similar text retrieval. This method detected 80–97% of paraphrased AI text while only misclassifying 1% of human-written sequences, demonstrating a potential approach to improve detection robustness.3
Results by LLM Models
AI-content detection accuracy also depends on the underlying LLM used to generate the text. AI detectors performed best on ChatGPT-generated texts (87% accuracy), moderately on DeepSeek (72%), and struggled most with Gemini-generated texts (54%).
Comparison of the most common 20 AI-generated content detectors
Note: 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.
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 9 samples of human-written content, ranging from 100 to 196 words. Using large language models, ChatGPT, Gemini, and DeepSeek, we then generated three AI-written texts for each topic, ranging from 96 to 211 words. Matching each AI-generated text to its corresponding human-written sample ensures a fair comparison.
Using multiple AI content generators also allows for a comprehensive analysis, as some detection tools are better suited to identifying content produced by specific AI models.
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. In the figure, the AI-text detection percentages represent the average share of AI-generated text each tool correctly identified. The human-text detection percentages show the average share of human-written text accurately recognized by each tool.
Step 3: Record detection results
For each AI checker tool, we recorded the percentage score it gave and how likely the tool labelled the text as 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
Text 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
- AI in HR: Steps & Use cases with Real-Life Examples
- Comparison of Top 5 AI Survey Tools
- Emotion AI Tools Backed by Real-World Testing
Reference Links
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