AI Humanizer Leaderboard
In September 2026, the top-ranked AI humanizer on HumanizerBench was WriteHuman, scoring 78.29 out of 100. Since August 2026, StealthGPT climbed 3 places, the biggest gain. Humanize AI Pro fell 5 places, the biggest drop. SupWriter, StealthBypass and Penlify were ranked for the first time.
14 humanizers · 33 prompts each · 5 detectors · Last tested · Methodology v1.2.0
| Rank Position in this cycle by overall score. Learn more → | Humanizer | OverallOverall Weighted blend of bypass rate (42%), meaning preservation (32%), readability (16%), and consistency (10%). Penalties may reduce this score. Learn more → ↓ | BypassBypass Rate Fraction of detector tests where the humanized output was classified as human, across all 5 detectors. Click a score to read the raw outputs and verdicts behind it. Learn more → | Meaning Semantic similarity (embedding cosine) between input and humanized output. Higher = output preserves the input's meaning. Learn more → | Readability Writing quality of the output: clarity, fluency and naturalness, rated by a language model. Higher = better. Learn more → | Penalties Total points deducted from the overall score when output-quality issues were detected. Hover a row's chip to see why. Learn more → | Trend Leaderboard position across recent cycles. The line rises when the tool moves up the ranking, independent of absolute score. Learn more → | Video |
|---|---|---|---|---|---|---|---|---|
| 1
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| 78.29 | 90.1 | 72.3 | 56.9 | None | | ||
| 2
▲ 1 | 75.39 | 86.4 | 76.3 | 47.2 | −1.0Penalties applied
| | ||
| 3
▲ 1 | 73.97 | 86.3 | 76.9 | 34.9 | None | | ||
| 4
▲ 2 | 72.94 | 81.5 | 73.2 | 58.4 | −1.0Penalties applied
| | ||
| 5
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| 72.80 | 80.3 | 79.0 | 45.7 | None | | ||
| 6
▲ 2 | 71.75 | 82.1 | 82.1 | 61.7 | −6.0Penalties applied
| | ||
| 7
▼ 5 | 70.07 | 70.8 | 74.7 | 61.8 | None | | ||
| 8
▼ 1 | 67.58 | 82.1 | 66.1 | 65.4 | −6.0×2Penalties applied
| | ||
| 9
▲ 3 | 65.10 | 79.6 | 59.4 | 70.9 | −5.0Penalties applied
| | ||
| 10
▼ 1 | 61.70 | 83.9 | 66.6 | 60.4 | −12.0×2Penalties applied
| | ||
| 11
▼ 1 | 60.97 | 64.4 | 74.2 | 52.1 | −5.0Penalties applied
| | ||
| 12
▼ 1 | 60.35 | 41.1 | 86.4 | 66.1 | −3.0Penalties applied
| | ||
| 13
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| 39.38 | 78.6 | 39.5 | 54.1 | −23.0×4Penalties applied
| | ||
| 14
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| 36.57 | 0.0 | 62.7 | 71.8 | −5.0Penalties applied
| |
Swipe the table sideways to see every column.
Gold, silver and bronze mark the top three scores in each column. Tied scores share a color.
Showing scores in the Overall column ( prompts per humanizer this cycle). A test only earns bypass credit when its output is a real rewrite; that is blended with the category's own meaning and readability. Small categories swing; that's the point. How category scores work
Session recordings
Screen captures of the runs behind the September 2026 board: 15 recordings, one per tool, 3h 47m of testing, 495 runs. Pick a tool to watch it being tested, then jump to any run. Nothing downloads until you press play. Hosted links may expire over time; the published JSON stays the record.
WriteHuman
9:39 · 33 runs
Stealth Writer
7:39 · 33 runs
HIX Bypass
13:50 · 33 runs
AI Humanize io
9:22 · 33 runs
SupWriter
7:51 · 33 runs
Undetectable.ai
11:14 · 33 runs
Humanize AI Pro
9:34 · 33 runs
Phrasly
14:52 · 33 runs
StealthGPT
47:29 · 33 runs
Walter Writes
18:13 · 33 runs
Super Humanizer
6:05 · 33 runs
Grammarly
8:44 · 33 runs
StealthBypass
13:24 · 33 runs
Penlify
20:22 · 33 runs
Humbot
28:26 · 33 runs
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Recordings
How scores are computed
Full methodology- Bypass
- Share of detector tests where the output was classified as human.
- Meaning
- How well the output preserves the original meaning.
- Readability
- How clear, fluent, and natural the writing reads, rated by a language model.
- Consistency
- How evenly the humanizer performs across writing categories.
Penalties
Taken off the total for each flagged test. Each rule stops at −10.0, −50.0 in total, and a score cannot go below 0.
- Identical to input −2.0
- The tool returned the input mostly unchanged. No real humanization happened.
- Refusal −1.0
- The tool refused to humanize the input, often due to a content-policy block.
- Meaning drift −1.0
- The output's meaning drifted significantly from the original input.
- Length inflation −1.0
- The output ran much longer than the input, a common trick that pads text to dilute the AI signal.
- Length deflation −1.0
- The output came back much shorter than the input. The rewrite dropped content instead of paraphrasing it.