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Use the free AI detector to quickly check if text is from ChatGPT or other AI platforms.

Check if your content is AI-generated and clearly show the proportion of AI-generated content in the pasted text.

Your Content

Output

The results will be displayed here.

Identify AI writing traces to make your content more credible

One-click detection to quickly assess the likelihood that a text is AI-generated

Rita AI Detector conducts a comprehensive evaluation based on linguistic features and writing patterns, provides an AI-generation probability, and highlights sentences that are more likely to “look AI-like,” helping you quickly locate suspicious segments. Whether for student self-checks, editorial review, hiring/exam material screening, or pre-publication checks, it can serve as a direct reference. Results are probabilistic and should be reviewed together with sources and context.

AI Detector
AI Text Detector

Scan sentence by sentence and precisely mark suspicious passages

More than a score—it shows you which parts look more like AI

Our detection not only provides an overall probability, but also flags high-suspicion sentences and offers relevant cues, making targeted revisions easier: add details, strengthen personal expression, and adjust sentence structure and wording so the text feels more natural and closer to real human writing.

Lightweight interaction—leave complex judgment to the system

No learning required—get started right away

Just paste the text and click Detect. Rita analyzes it in seconds and shows clear results and highlights. No complex settings needed, and you don’t need to know the technical details—perfect for frequent self-checks and quick reviews.

Free AI Detector

How to use Rita AI Detector?

Three simple steps to start intelligent detection

AI Writing Detector

Step 1: Paste the text

Paste the text you suspect is AI-generated into the detection area. Multiple languages are supported.

AI detector tool

Step 2: One-click intelligent analysis

Click “Check for AI.” Rita will start intelligent recognition, run a comprehensive evaluation of the text, and mark suspicious sentences.

AI Content Detector

Step 3: View the reference result

Quickly get the AI-generation probability and review the cues for highlighted sentences, making revision and verification easier.

Why choose Rita’s AI Detector?

A lightweight detection tool that fits real workflows

AI Content Detector

Flexible intelligent recognition

Makes comprehensive judgments based on multi-dimensional linguistic features, covering texts with different writing styles and levels of rewriting, and better matching real usage scenarios.

AI Generator Detector

Fast feedback experience

Optimizes the detection flow and typically delivers clear conclusions and highlights within seconds, enabling quick decisions and review.

AI Detector Essay

Privacy and security

We respect your content privacy. Detection is used to generate result feedback. For critical scenarios, we recommend combining it with human review and source verification.

FAQ

Are Rita’s detection results always accurate?

Results are probabilistic judgments based on linguistic features. They can be used as reference and decision support, but are not equivalent to a final conclusion. We recommend evaluating them together with writing context, source materials, and human review.

Why can some AI-written texts not be detected?

If the text has been heavily rewritten by humans, mixes multiple sources, or deliberately avoids common AI features, detection becomes more difficult. Rita continues to optimize its recognition strategies to handle more complex AI-writing scenarios.

Does longer text make detection more accurate?

Generally, longer text contains more linguistic features and leads to more stable judgments. Very short text (such as a single sentence or a few lines) provides limited information, and results may vary more. We recommend providing full paragraphs or the complete text.

Which languages are supported? Are the results the same across languages?

Multiple languages are supported. Differences in expression patterns and data coverage across languages may lead to variation in results. For critical scenarios, we recommend combining results with context and human review.

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