Free AI Detector – Check AI Text Online Detector Checker
Use a free AI detector to check whether text shows AI-like writing patterns. Paste text or upload a document, then review an overall AI-likeness score and sentence-level signals. Results are not proof of authorship. No sign-up required.
Free
No sign-up
Sentence-level
Signals
Multilingual
Input accepted
Not proof
A fallible signal
ANALYZING
0%
Analyzing your text
Analyzing your text. This may take several seconds.
Analyzing your text. This may take several seconds.
Analyzing your text. This may take several seconds.
Analyzing your text. This may take several seconds.
Almost done…
Pattern Analysis
Linguistic Markers
Sentence Structure
Knowledge Specificity
Final Synthesis
RESULTS
Analysis Complete
AI-likeness score
0%
FINAL ASSESSMENT
This score summarizes how strongly the text matches patterns used by this tool. It is not a calibrated probability of authorship and cannot identify who or what wrote the text.
How to use it: Use the result as one fallible signal, never as proof or as the sole basis for an academic, employment, disciplinary, legal, healthcare, or compliance decision.
SCORE
Signal consistency
-
DETECTION
Stronger-signal sentences
0
METHOD
Analysis Method
Signal analysis
READABILITY
—Reading Ease
—Words
—Sentences
—Avg Words/Sentence
ANALYSIS
Language-agnostic model signals
These are the model-based signals returned for your text. Each value is a signal strength, not a verdict, and none of them prove who or what wrote the text.
Pattern Recognition
0 matches
Transition Words
0 matches
Buzzword Detection
0 matches
Hedging Language
0 matches
Sentence Structure
Analyzed
Complexity & patterns checked
Vocabulary Diversity
Analyzed
Word variety measured
Knowledge Specificity
Analyzed
Detail depth evaluated
Contextual Flow
Analyzed
Flow naturalness checked
Repetition Analysis
Analyzed
Redundancy patterns checked
Tone Consistency
Analyzed
Voice uniformity checked
Punctuation Patterns
Analyzed
Usage patterns reviewed
Semantic Coherence
Analyzed
Meaning consistency verified
Statistical Analysis
Analyzed
Statistical models applied
Stylistic Markers
Analyzed
Style patterns identified
Final Synthesis
Complete
All checkpoints synthesized
Perplexity Analysis
-
XLM-RoBERTa (multilingual)
Semantic Analysis
-
paraphrase-multilingual-mpnet-base-v2
Statistical Analysis
-
Universal Metrics
Detection Summary
Known AI-signature phrases matched in your text. This is one signal among many and is not proof of authorship.
0
AI Signature Phrases
0
Formal Transitions
0
Corporate Buzzwords
0
Hedging Phrases
0
Total Patterns
DETECTION
Sentences with stronger AI-like signals
Orange highlights mark sentences with a higher AI-like signal under this tool’s sentence-level thresholds. They are review cues, not proof of authorship.
BREAKDOWN
Sentence-by-Sentence Analysis
#
Sentence
AI Score
Status
SUGGESTIONS
Writing Improvement Suggestions
AI-written text often exhibits specific patterns. Here are suggestions to make your text sound more natural and human:
INFO
Understanding Your Results
Detailed analysis of your detection score and confidence metrics
01
AI-likeness score
Summarizes how strongly the text matches the AI-like writing patterns this tool looks for. It is not a calibrated probability of authorship and cannot identify who or what wrote the text.
0–39%Lower signal
40–49%Indeterminate
50–100%Higher signal
02
Signal consistency
Signal consistency summarizes how strongly the tool’s internal indicators align with one another. It does not measure the probability that the result is correct and is not proof of authorship.
✓
Pattern consistency
✓
Indicator agreement
✓
Signal strength
✓
Text complexity
03
Detection Method
Our sentence-level detection provides granular analysis by examining each sentence independently. Highlighted sentences indicate detected AI characteristics based on linguistic markers, structural patterns, and stylistic signatures.
Analysis Scope:Individual sentence evaluation
Detection Categories:12 linguistic markers
Highlight Indicator:Orange shading with heat values
ERROR
METHOD
How Our Analysis Works
Advanced multi-checkpoint detection methodology
This tool combines several analytical steps with language-agnostic model signals to estimate how strongly a text matches AI-like writing patterns. It accepts input in many languages, but performance varies by language, length, source model, and human editing, and the result is a signal — not proof of authorship.
Text preparation. The passage is cleaned and split into sentences for analysis.
Statistical & structural features. Sentence length, uniformity, punctuation and distributional patterns are measured.
Linguistic & pattern signals. Known AI-signature phrases and connector/formal-language patterns are counted from the actual text.
Semantic & predictability signals. Multilingual model signals — a pseudo-perplexity (masked-token predictability) score from XLM-RoBERTa and sentence-embedding patterns from paraphrase-multilingual-mpnet-base-v2 — are computed when available.
Signal synthesis. The signals are combined with weighting; no single signal decides the result.
Score-band assignment. The overall AI-likeness score is placed in a band: lower signal, indeterminate, or higher signal.
Sentence-level review cues. When available, sentences with a stronger signal are highlighted as review cues \u2014 not verdicts.
Limitations & human interpretation. The result is a preliminary signal, not proof of authorship. Performance varies by language, length, source model and human editing.
Clear signals for text review
Free to use: run checks without creating an account.
No sign-up required: start immediately.
multi-signal HYBRID-DETECT™: a multi-signal process designed for practical review.
many languages: useful for multilingual workflows.
Sentence-level review: focus on passages that need a closer look.
How it works
1. Paste the text you want to review
Add the passage you want to check. AI Detector Checker can auto-detect the language, or you can choose one manually.
2. Run the analysis
The tool applies its multi-signal HYBRID-DETECT™ process to look for patterns commonly associated with AI-written text.
3. Review the result in context
You will receive a signal-based assessment and sentence-level signals that help you decide what needs a closer review. For more detail, visit How It Works and Features.
Why AI Detector Checker
Built for real review workflows
This AI detector is designed to support practical text review. It helps teachers, editors, publishers, agencies, and content teams check text quickly and focus on the passages that deserve attention.
Clearer outputs, not just a single label
AI Detector Checker combines signal-based results with sentence-level review signals, so the output is easier to interpret than a simple yes-or-no verdict.
More transparency around the process
You can explore the method, feature details, and published benchmark information through the Features, Benchmarks, and FAQ pages.
Who it is for
Teachers and academic reviewers: screen submissions that may need closer review.
Editors and publishers: check drafts before publication and review passages that feel overly uniform or machine-written.
Agencies and content teams: review client work, outsourced drafts, and internal content before publishing.
Writers and professionals: add a second layer of review when originality, tone, and trust matter.
AI Detector Checker accepts input in many languages, which makes it useful for international teams, multilingual publishing, and cross-language review.
Language coverage matters, but context still matters more. Translation, heavy editing, short passages, and mixed-authorship text can all affect how signals appear. You can review published benchmark information on the Benchmarks page.
Use the result as evidence, not proof
AI detection works best as part of a broader review process. A score can point you toward passages worth checking, but it should not replace human judgment, editorial review, or policy decisions.
Ambiguous or mixed cases can happen. Some human writing may look unusually uniform, and some AI-assisted writing may include strong human edits. AI Detector Checker is most useful when you read the result alongside the text itself and the surrounding context.
Frequently asked questions
What is AI Detector Checker?
AI Detector Checker is an online AI detector that helps users review text for signs of AI writing. It is built to support real review workflows rather than make absolute claims about authorship.
Is AI Detector Checker a free AI detector?
Yes. AI Detector Checker is free to use, and no sign-up is required.
How do I check text for AI writing?
Paste the text into the tool, run the analysis, and review the signal-based result together with any sentence-level signals. For a step-by-step guide, see How It Works.
Does AI Detector Checker work only in English?
No. AI Detector Checker accepts multilingual input for review workflows.
What do the results mean?
The result reflects how closely a passage matches patterns commonly associated with AI-generated text. It is best used as one input in a broader human review process.
Where can I review the method and supporting material?
Use AI Detector Checker to detect AI-generated text, review sentence-level signals, and understand whether your content appears human, AI-written, or mixed.
