Free AI detector for a more informed text review

Use Humanizely’s free AI detector to check whether a passage is classified as showing patterns associated with AI-generated writing. Submit up to 500 words per request in Standard mode, then treat the result as a starting point for review—not a verdict about who wrote it. A detection estimate cannot establish originality, verify facts, or determine whether someone followed an AI-use policy.

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Who this tool is for

For writers reviewing drafts, educators considering concerns fairly, and editors checking submissions without mistaking a statistical classification for evidence of misconduct.

How to use the free AI detector

Choose a coherent passage of no more than 500 words and submit it for a detection check. Keep an unchanged copy so you can connect the result to the exact text reviewed. For a longer document, check complete sections separately rather than cutting sentences apart. Do not combine section results into a document-wide probability: separate estimates do not establish overall authorship. Include enough surrounding prose to make the passage meaningful. A heading, slogan, bibliography, or short answer may provide little useful context. If you exclude references, quotations, or tables, note that choice; the result applies only to the submitted material. Humanizely supports 15 languages, but language support should not be interpreted as equal reliability across every genre or passage. Remove confidential information before submission and check applicable privacy requirements.

What an AI detection result can—and cannot—tell you

AI detectors broadly use statistical classification to identify patterns associated with particular kinds of generated and human-written text. That is different from observing the writing process. Predictable phrasing, standardized formats, translation, and editing can complicate interpretation. Human writing can receive an AI-associated classification, while generated writing can go unflagged. If a result looks concerning, validate the concern against independent evidence: draft history, research notes, source annotations, and the writer’s explanation of their choices. Check whether the passage contains quotations or required template language. In consequential settings, allow the writer to respond and follow the relevant review procedure. Neither a concerning result nor an apparently reassuring one proves authorship. Do not use detection alone to assign grades, reject applicants, or accuse a contributor.

Revise for accuracy and clarity, not a promised pass

After checking a draft, identify actual writing problems: unsupported conclusions, vague actors, repetitive summaries, or missing explanations. Revise those problems while preserving the evidence. Verify citations against the original sources, and keep dates, dimensions, numerical claims, and documented achievements unchanged unless you have a justified correction. For academic and admissions work, the submission must remain your original work within institutional rules. Disclose AI assistance when required; rewriting does not make prohibited assistance acceptable. Keep dated drafts and a brief revision log rather than repeatedly changing words to chase a different classification. Humanizely does not guarantee detector outcomes. The examples below illustrate responsible editorial decisions, not methods for concealing AI use.

Responsible revision examples

Original fictional educational examples—not customer results or detector performance evidence.

Academic paragraph: preserve the citation’s scope

Before

The class survey proves that all students prefer recorded lectures. Eighteen of 30 respondents selected recordings (Course Survey, 2024, Table 2).

After

In the class survey, 18 of 30 respondents selected recorded lectures (Course Survey, 2024, Table 2). This describes the respondents’ choices, not the preferences of all students.

Replace the unsupported universal claim with a bounded interpretation. In this fictional example, retain the citation and count; before submission, inspect Table 2 and the question wording. A detector cannot verify either.

Product copy: keep dimensions and dates intact

Before

Our revolutionary shelf is the perfect solution for every room. It measures 60 × 20 × 15 cm and launches on 12 September 2026.

After

The shelf measures 60 × 20 × 15 cm and launches on 12 September 2026. Measure your intended space before ordering.

Remove unsupported superlatives instead of adding artificial personality. Preserve the dimensions and launch date, then confirm both against approved specifications. Do not invent load capacity, materials, or installation requirements to make the copy sound more concrete.

Résumé bullet: clarify a documented achievement

Before

Leveraged exceptional leadership to successfully oversee a team of 6 and reduce ticket backlog by 18% in Q2 2025.

After

Led a team of 6 and reduced the ticket backlog by 18% in Q2 2025.

Cut inflated phrasing while retaining the role, team size, improvement, and period. Check the backlog report and confirm that leadership accurately describes the applicant’s contribution. A cleaner sentence is not proof of human authorship or a verified achievement.

Practical checking tips

  1. Save the submitted passage alongside its result so later revisions are not confused with the version checked.

  2. Keep quotations clearly attributed; do not rewrite borrowed language merely because a detector reacts to it.

  3. Compare claims with primary sources before polishing style. Fluent wording can still contain fabricated facts.

  4. Ask reviewers to identify specific concerns in the text rather than treating a classification as self-explanatory.

  5. Document permitted AI assistance and retain original drafts, especially where assessment or publication policies require transparency.

Frequently asked questions

Is Humanizely’s AI detector free?

You can check up to 500 words free per request. That allowance is a request limit, not a claim that checking multiple passages establishes authorship.

Can an AI detector prove that someone used AI?

No. Detection is an estimate based on text patterns. Establishing whether assistance was used or permitted requires other evidence and the applicable policy.

What should I do if my original writing is flagged?

Preserve the draft, gather notes and version history, and request a contextual review. Do not distort accurate writing simply to obtain a different result.

Will revising my text guarantee a different result?

No. Clearer writing may still receive a similar classification. Revise for readers, accuracy, and policy compliance—not a promised detector pass.

Does a reassuring result mean my citations are valid?

No. Open each cited source, verify the attributed claim, and confirm quotation wording and page references. Authorship classification does not check citation integrity.

Can teachers use this to assess student submissions?

Only as a limited review signal, not standalone evidence. Follow institutional policy, consider drafts and permitted assistance, and give students a fair opportunity to explain.