Free AI Detector: Human or AI-Generated?

Paste any text into our AI text detector and get an AI-likelihood score in seconds, with the evidence to back it up. Detects output from ChatGPT, Claude, Gemini and every major AI tool.

100% private — text never leaves your browser Free & unlimited Shows its evidence

Your Text

0 words

Analysis runs on your device. Nothing is uploaded, stored, or used for training.

Result

Your AI-likelihood score will appear here.
First analysis downloads the detection model (~35 MB, one time only).

Why Use This Free AI Detector?

Private by Design

Every other detector uploads your text to their servers. Ours downloads the detection model to your browser instead — your writing never leaves your device, which is why we can offer it free and unlimited.

Explains Itself

A bare percentage is impossible to trust. We break the score into named signals — sentence rhythm, AI-favoured wording, connective openers and more — with the actual evidence found in your text.

Research-Grade Model

The neural engine is a fine-tuned transformer that ranks among the top open-source detectors on RAID, the largest academic benchmark for AI-text detection (10M+ documents, adversarial attacks included).

How Our AI Detector Works

1. Neural Analysis

A 33-million-parameter transformer model, trained on millions of human and AI-written documents, reads your text and scores its statistical fingerprint. It runs via WebAssembly right in the page.

2. Pattern Analysis

In parallel, a stylometric engine measures the tells humans notice: uniform sentence rhythm, stock AI phrases ("delve", "in today's fast-paced world"), missing contractions, tidy paragraph structure and more.

3. Blended Verdict

Both engines combine into one calibrated score, weighted toward the neural model. Longer texts also get a section-by-section breakdown, so mixed human-AI writing shows up honestly.

Honest limitations — read before acting on a score

We'd rather you trust the tool because we're straight with you:

  • No detector is proof. Ours included. Never use any AI-detection score alone to accuse a student, writer, or employee.
  • False positives are real. Very formal, polished, or non-native English writing can look "AI-like" to every detector on the market.
  • Edited AI text scores lower. Heavy human editing genuinely changes the statistical fingerprint — a mid-range score often means mixed authorship.
  • Short texts are unreliable. Below ~120 words, treat any score as a rough hint.

AI Detector Frequently Asked Questions

How accurate is this AI detector?

No AI detector — free or paid — is 100% accurate, and anyone claiming otherwise is misleading you. Our tool combines a neural detection model (a top open-source performer on the RAID academic benchmark) with transparent writing-pattern analysis, and shows you the evidence behind every score. Treat results as a strong estimate, not proof.

Is my text uploaded to a server?

No. This detector is unusual: the detection model downloads to your browser and all analysis runs on your own device. Your text never leaves your computer, is never stored, and is never used for training. That's also why it's free and unlimited.

Which AI tools can it detect?

It detects the statistical fingerprint of large language models in general, including ChatGPT, GPT-4o, Claude, Gemini, Llama and others — rather than matching against one specific tool.

How much text do I need?

At least 50 words, but 120+ gives noticeably more reliable results. Very short texts don't carry enough statistical signal for any detector to judge fairly.

Can it detect AI text that has been edited or paraphrased?

Partially. Heavy human editing genuinely makes text more human, and the score reflects that honestly. Mixed human-AI writing typically lands in the middle of the scale, and the section-by-section breakdown can reveal which parts look machine-written.

Why did my own writing score as AI-generated?

False positives happen with every detector, especially on very formal, polished, or non-native English writing. That's exactly why we show the evidence behind the score instead of a bare number — check which signals fired and judge in context.