Free Tool · LLM-Powered
AI Text Humanizer
Paste AI-generated text. Get a humanized version with 200+ pattern detection across 9 categories — AI vocabulary, formula openers/closers, hedging, weak transitions, chatbot artifacts, sycophancy, structural issues, vague attribution, and style markers. Server-side LLM with before/after scoring. 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 15,000 chars)"}
Returns JSON: humanized text, before/after analysis with AI score (0-100), 9-category pattern breakdown, sentence stats, model used. Rate limited: 20 req/hour per IP. Responses take 3–8 seconds (free LLM tier).
Sentence Rhythm:
Use this report to manually rewrite your text. Replace the flagged words with the suggestions, remove formula openings/closings, and vary your sentence lengths. Then paste the result back and analyze again to check your score.
Something went wrong.
Humanizing your text…
Analyzing 9 categories, rewriting, and scoring. This takes 3–8 seconds.
AI Vocabulary
Formula Openers
Formula Closers
Hedging
Weak Transitions
Chatbot Artifacts
Sycophantic
Structural
Style Markers
The model returned an unstructured response. The raw output is shown below — it may still be useful.
AI Detection:
Sentence Rhythm:
Model: —
Rate limit: 20 req/hour per IP
9-Category AI Pattern Detection
Category 1
AI Vocabulary
Detects Tier 1 AI words (delve, tapestry, leverage, robust, seamless, etc.) with specific replacement suggestions.
Category 2
Formula Openers
Catches formulaic openings: "In today's world...", "Have you ever wondered...", significance inflation patterns.
Category 3
Formula Closers
Detects generic conclusions, conclusion-mirrors-intro, "the question remains" and similar wrap-up formulas.
Category 4
Hedging
Finds "could potentially", "might arguably", "seems to somewhat" — double qualifiers that weaken writing.
Category 5
Weak Transitions
Flags "Furthermore,", "Moreover,", "Additionally," — weak connector words that pad AI text.
Category 6
Chatbot Artifacts
Catches "I'd be happy to help", "Great question!", "As an AI" and similar chatbot-specific phrases.
Category 7
Sycophantic Patterns
Detects excessive praise, agreement, and validation patterns common in AI assistant output.
Category 8
Structural Issues
Analyzes paragraph uniformity, list overuse, "serves as" constructions, and vague attribution patterns.
Category 9
Style Markers
Checks contractions, sentence rhythm (CoV), length variation, and overall writing naturalness signals.
Iron law: facts, numbers, dates, and named entities are never changed. AI score 0-100 with before/after comparison.
Based on the
humanizer research article.