AI text humanizer
Rewrite a machine-sounding text into a natural, fluent version that keeps the meaning.
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Text tool
Plagiarism checker
Know what matches before you submit
Paste a text or upload a document and receive a report that highlights every passage found elsewhere, with the matching source and an overall similarity score.
What you get
- Passage-level highlights with the matching source
- Overall similarity score to read at a glance
- PDF report you can attach or archive
- Works with pasted text and TXT, PDF or DOCX files
How it works
Step 1
Paste the text or upload the document
Step 2
Wait for the comparison to finish
Step 3
Read the highlighted report and download the PDF
When to use it
An essay or a thesis
Find forgotten quotations and missing citations before the deadline.
A blog article or a web page
Make sure a commissioned text is original before publishing it.
A report or a proposal
Check that reused passages are properly attributed.
Good to know
- Input
- Pasted text or TXT, PDF, DOCX — length shown on the tool page
- Comparison
- Web pages, publications and public documents
- Report
- Highlighted passages, sources, similarity score, PDF
- Length
- Limit shown on the tool; longer texts can be checked in sections
Questions about this tool
What does the similarity score mean?
It is the share of the text found in other sources. A properly quoted passage raises the score too, so always read the highlighted passages rather than the number alone.
Is my text stored or published?
Your text is used only to produce your report. How it is handled and how long it is kept are described in the privacy policy.
Can I check a long document?
Yes, within the length limit displayed on the tool. Longer documents can be checked in sections.
Related guides
Plagiarism: what counts, how to check, how to cite
The forms plagiarism takes, how similarity checks work and how to read a report before you submit.
Citing sources and avoiding accidental plagiarism
When a citation is needed, how to quote and paraphrase properly, and how to check a text before handing it in.
How AI text detection works — and its limits
Perplexity, burstiness, classifiers: what detectors measure, what the score means and when to trust it.
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Know what matches before you submit