Analyze
Submit a complete passage rather than an isolated sentence. Longer samples usually provide more useful signals.
Review possible AI writing patterns and improve AI-assisted writing with clearer phrasing, smoother sentence flow, and a more natural tone. Detection results are estimates and should always be considered with human judgment.
Accessible tools for reviewing and improving written content.
The detector reviews linguistic patterns and sentence variation to estimate whether text may contain AI-generated writing.
Review an AI probability estimate and use it as one part of a broader content assessment.
Read our Privacy Policy to understand how submitted text and technical information are processed.
AI writing tools are commonly used for drafting blog posts, emails, educational material, marketing copy, and other written content. In some situations, readers and reviewers may want to better understand how a passage was produced.
Detec AI analyzes writing patterns and provides a probability-based assessment. The result is not definitive proof of authorship and should be reviewed alongside context, source material, draft history, and human judgment.
The Detec AI Humanizer improves repetitive or mechanical writing with clearer phrasing, smoother sentence flow, and a more natural tone while attempting to preserve the intended meaning.
Users remain responsible for reviewing the result, checking factual accuracy, respecting applicable rules, and disclosing AI assistance when required.
Review drafts for repetitive or overly predictable writing patterns before publication.
Use probability-based results as a supporting signal rather than as the sole basis for an academic decision.
Review submitted content while considering research quality, accuracy, sourcing, and the writer’s documented process.
The detector evaluates writing signals such as sentence structure, word-pattern predictability, and variation in writing rhythm. It uses those signals to produce a probability-based estimate.
AI detectors can produce false positives and false negatives, especially with short, formal, technical, translated, or heavily edited text. Results should therefore be treated as guidance, not as a final judgment.
Use the core writing tools without creating an account.
Results indicate likelihood rather than definitive authorship.
Important decisions should always include contextual human review.
Short and highly structured text may be more difficult to classify.
An AI writing score estimates how closely a passage resembles patterns commonly found in machine-generated text. It does not identify the author, prove misconduct, or reveal which writing tool may have been used.
Human writing can sometimes appear predictable, particularly when it is formal, technical, translated, or heavily edited. AI-assisted writing can also contain personal details and natural variation. Because these styles overlap, every result needs context.
For important decisions, consider the score together with drafts, citations, document history, writing samples, and a conversation with the author.
Short passages provide fewer writing patterns to analyze and may produce unstable results.
Technical, legal, academic, translated, and formulaic writing may naturally appear more predictable.
Draft history, notes, citations, and earlier writing samples can provide more useful context than a score alone.
Automated analysis should support careful human review, not replace it.
Instead of making a decision from one percentage, use a repeatable review process that combines automated analysis with evidence and human judgment.
Submit a complete passage rather than an isolated sentence. Longer samples usually provide more useful signals.
Review the text yourself. Look for vague claims, unsupported facts, abrupt tone changes, and repeated structures.
Check citations, drafts, revision history, source notes, and earlier examples from the same writer.
If the decision matters, ask the writer to explain the ideas, sources, and process used to create the work.
Two passages can discuss the same idea while producing different writing signals. That difference does not prove who wrote either passage.
“Artificial intelligence has changed modern communication by improving efficiency, automating repetitive tasks, and supporting faster content production across many industries.”
Why it may receive a stronger AI signal:
“When our support team introduced an AI drafting tool, routine replies became faster. We still had to rewrite messages involving billing problems because customers needed explanations based on their specific accounts.”
Why it may appear less predictable:
These examples illustrate writing characteristics only. Either passage could have been written by a person, generated by a model, or created through a combination of both.
Detection systems compare patterns; they do not observe how a document was created. Certain writing styles provide fewer distinctive signals and require more cautious interpretation.
Recommended approach: If a result could affect a grade, employment decision, publication, or professional reputation, do not rely on an automated score alone.
A few sentences contain limited information about writing rhythm and variation.
Specialized terminology and standardized structures may naturally appear predictable.
Translation tools can alter sentence patterns even when the original work was written by a person.
Objective language, fixed terminology, and structured arguments may trigger false positives.
Grammar and style tools can make human writing appear more consistent or uniform.
Documents may include human writing, quoted material, templates, and AI-assisted sections.
AI writing detection is most useful as an initial review signal. It should not be presented as unquestionable proof or used to make high-impact decisions without supporting evidence.
Tell users when automated analysis contributes to a decision.
Allow the writer to provide drafts, notes, and an explanation.
Protect confidential, personal, and unpublished information.
Document the evidence considered beyond the detector score.
Review how the service is designed, read practical writing guides, and understand how submitted information is handled.
Learn about the purpose of the tools, how results should be interpreted, and the principles behind the service.
Read moreRead practical guides about AI writing patterns, false positives, editing, and responsible review.
Read moreReview how submitted text, analytics information, and other technical data are handled.
Read moreAnalyze writing patterns and review the result together with context and human judgment.
Analyze Text