AI Humanizer BenchmarkDetectors / QuillBot
Best for QuillBot
Humanizers ranked by their measured bypass rate against QuillBot. This cycle it was the 6th-strictest of the 7 detectors in the panel: humanizers averaged 73.6% bypass against it.
A free detector inside the QuillBot writing suite, widely used by students.
Reports AI percentage; inverted and divided by 100.
- Last tested
- 2026-09-03T16:11:14.775Z
- Sample size
- 33
- Methodology
- v1.0.0
| Rank | Humanizer | Penalties | Last tested | ||
|---|---|---|---|---|---|
| 1 | 94.2 | 84.80 | none | today | |
| 2 | 92.7 | 84.90 | none | today | |
| 3 | 92.2 | 81.60 | -1.0 | today | |
| 4 | 89.3 | 76.10 | none | today | |
| 5 | 88.9 | 73.80 | none | today | |
| 6 | 88.8 | 66.80 | -11.0 | today | |
| 7 | 84.9 | 78.30 | none | today | |
| 8 | 74.6 | 68.50 | -5.0 | today | |
| 9 | 66.0 | 71.90 | -3.0 | today | |
| 10 | 21.9 | 39.00 | -4.0 | today | |
| 11 | 16.6 | 38.20 | -12.0 | today |
11 humanizers · 7 detectors · scores out of 100, higher is better. Click a column to sort; hover a penalty for the breakdown.
Top 3 for QuillBot
Raw test data
Every verdict QuillBot returned in the September 2026 cycle as JSONL: the text scored and the score, one row per test. Paste any row's text back into the detector to check the recorded verdict.
How scores are computed
See the full methodologyOverall score formula
How often the rewritten text is classified as human by the detector panel.
How closely the rewrite preserves the original text's meaning.
Whether the output is clear, fluent, natural writing.
Whether performance holds across all seven writing types or varies widely between them.
Penalties (right) subtract from the composite, and the result never goes below zero.
Possible penalties
- Identical to input
The text came back essentially unchanged; no meaningful rewriting occurred.
-2.0-10.0 - Refusal
The tool declined to process the text, typically due to its own content filter.
-1.0-10.0 - Meaning drift
The rewrite departed substantially from the original's meaning.
-1.0-10.0 - Length inflation
The output ran far longer than the input, diluting the AI signal with added words rather than removing it.
-1.0-10.0 - Length deflation
The output ran far shorter than the input; content was dropped rather than rephrased.
-1.0-10.0
Maximum possible total penalty: -50.0 (off 100).