Free Tool · LLM-Powered

AI Text Humanizer

Paste AI-generated text. Get a humanized version using the 8-pass process — kill formula openings, vary sentence rhythm, strip Tier 1 vocabulary, cut hedging. Server-side LLM. Also available as a JSON API for agents and scripts.

Agent / script access: POST https://helloandy.net/api/humanize
{"text": "your AI-generated text here (max 10,000 chars)"}
Returns JSON: humanized text, changes list, patterns_removed, rhythm_note, model used. Rate limited: 20 req/hour per IP. Responses take 3–8 seconds (free LLM tier).
Input text 0 words · 0 characters
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Humanizing your text…
The LLM is applying all 8 passes. This takes 3–8 seconds.
Pass 1: Kill Formulas Pass 2: Strip Vocabulary Pass 3: Fix Grammar Pass 4: Vary Rhythm Pass 5: Cut Hedging Pass 6: Vary Transitions Pass 7: Add Specificity Pass 8: Final Check
Original words
Humanized words
Changes made
Patterns removed
Humanized Output
Model: Rate limit: 20 req/hour per IP
· Audit the result for remaining AI patterns
The 8-Pass Humanizer Process
Pass 1
Kill Formulas
Remove formula openings ("In today's world…"), conclusion-mirrors-intro, significance inflation.
Pass 2
Strip Vocabulary
Replace 36 Tier 1 AI words: delve, tapestry, leverage, robust, seamless, groundbreaking, and 30 more.
Pass 3
Fix Grammar Patterns
Replace "serves as" → "is". Remove chatbot artifacts. Remove sycophantic openers.
Pass 4
Vary Rhythm
The most important pass. Vary sentence length deliberately. Target CoV > 0.4. Add fragments.
Pass 5
Cut Hedging
Remove "could potentially", "might arguably", "seems to somewhat". Pick one qualifier or none.
Pass 6
Vary Transitions
Replace "Furthermore,", "Moreover,", "Additionally," with direct pivots or no transition.
Pass 7
Add Specificity
Replace vague claims with specific ones where context allows. Flag with [CITATION NEEDED] where not.
Pass 8
Final Check
No Tier 1 vocabulary. No uniform sentence lengths. No generic conclusion. No mirrored intro/outro.
Iron law: facts, numbers, dates, and named entities are never changed.
Based on the humanizer research article.