
Independent AI humanizer benchmark with public data
Compare 11 AI humanizers tested on 7 detectors monthly, with public raw data.

Description
AI Humanizer Benchmark is an independent monthly testing site that ranks 11 AI humanizer tools by running them through 7 AI detectors, including GPTZero, Originality.ai, and Copyleaks. Each tool rewrites the same 33 texts on default settings, and scores are based on bypass rate, meaning preservation, and readability. It is for anyone who wants to know which humanizers actually work without ruining the text, from students to marketers. All raw data is public on GitHub.
How it works
Each month, the benchmark generates new AI-written texts in 7 writing categories, from essays to marketing copy. Every humanizer rewrites the same 33 texts through API calls on default settings, not tuned setups. The rewrites are then scored by 7 commercial detectors, and semantic similarity measures meaning preservation while a language model rates readability. All inputs, outputs, and detector verdicts are published on GitHub, so anyone can recompute the results.
Scoring formula
The overall score out of 100 combines bypass rate (42%), meaning preservation (32%), readability (16%), and consistency across writing types (10%). Penalties subtract points for issues like identical output, refusals, meaning drift, and length inflation or deflation. The maximum total penalty is -50.0. This means a tool that beats detectors but wrecks the text does not rank high.
Detector panel
The detector panel includes GPTZero, Originality.ai, Copyleaks, Winston AI, ZeroGPT, QuillBot, and Grammarly. Each detector's result is converted to a common 0-1 scale, and the bypass result is the median across all 7, so no single detector outweighs the others. Each detector has its own page ranking humanizers by bypass rate against that detector alone.
Use-case rankings
The site offers use-case views that reweight or filter results, such as best for essays, SEO, marketing, academic writing, or students. There are also pages for best for quality, meaning preservation, readability, and bypass rate. A 'best for free' view ranks only humanizers with a free tier. These views help users find the right tool for their specific needs.
Key Features
Independent monthly testing
Monthly rankings of 11 AI humanizers tested on 7 AI detectors including GPTZero, Originality.ai, and Copyleaks.
Standardized test set
Each tool rewrites the same 33 texts on default settings, with scores for bypass rate, meaning preservation, and readability.
Composite scoring formula
Overall score combines bypass (42%), meaning (32%), readability (16%), and consistency (10%), with penalties for quality issues.
Public raw data
All prompts, outputs, detector verdicts, and scoring code are public on GitHub for verification.
Use-case views
Filter rankings by use case such as essays, SEO, marketing, or academic writing, or by individual detector.
Use Cases
Students checking essays
Find which humanizer passes GPTZero, Originality.ai, and other detectors for coursework.
Marketers and SEO teams
Choose a humanizer for blog posts and marketing copy that gets past editors and detectors.
Researchers and auditors
Verify humanizer performance with public raw data and recompute results independently.
Frequently asked questions about AI Humanizer Benchmark
- What is AI Humanizer Benchmark?
- AI Humanizer Benchmark is an independent monthly testing site that ranks 11 AI humanizer tools by running them through 7 AI detectors on the same 33 texts.
- Who is it for?
- It is for anyone who uses AI humanizers and wants to know which ones actually bypass detectors without ruining the text, including students, marketers, and publishers.
- Is it free?
- The site is free to use. It does not charge for access to rankings or data, and it carries no sponsored content or affiliate links.
- Which detectors are tested?
- It tests against GPTZero, Originality.ai, Copyleaks, Winston AI, ZeroGPT, QuillBot, and Grammarly.
- Can I check the results myself?
- Yes, all raw data including inputs, outputs, detector verdicts, and scoring code is published on GitHub for anyone to inspect and recompute.
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