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Plagiarism Checker

Local similarity analysis for pasted or uploaded documents

Also available as dedicated pages: English · Spanish · Urdu

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Complete the security check above before uploading.

Local/document similarity only — not a web-wide plagiarism search.

Enter text and run the tool to see AI writing results.
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Otimização de Algoritmos & Insights de SEO

Como esta ferramenta ajuda na visibilidade e no ranqueamento de conteúdo.

Compare two texts for overlap with Zetawala’s free DeepSeek-powered plagiarism checker. This is LOCAL document similarity analysis between your pasted or uploaded draft and a reference you provide—not a web-wide internet plagiarism search. Ideal for English, Spanish, or Urdu drafts when you need overlap estimates against a known source. Free to use; always review matches yourself.

Páginas dedicadas por idioma: English · Spanish · Urdu

Exemplo Prático de Uso

Parâmetros padrão de entrada e o resultado esperado da otimização.

Exemplo de Entrada

Source: your essay · Reference: classmate draft or source notes (paste or upload)

Resultado Gerado

Similarity estimate + overlapping phrases (local/document compare only—not web crawl)

Perguntas Frequentes

Respostas essenciais sobre ranqueamento técnico e indexação de buscas.

Does this search the entire internet for plagiarism?
No. It performs LOCAL document similarity between the text you provide and a reference you paste or upload. It is not web-wide plagiarism detection.
Is the plagiarism checker free?
Yes. Zetawala’s local similarity checker is free. Analysis uses DeepSeek-powered comparison of the documents you supply.
What can I upload?
You can paste text or upload a supported document for extraction, then compare against a reference. Stick to files you have rights to analyze.
Which languages are supported?
Comparisons work for English, Spanish, and Urdu content when you select the matching language.
How should I interpret a high similarity score?
High overlap means the two documents share wording or structure. Quoted citations and shared boilerplate can raise scores—always review highlighted stretches in context.
Who should use local document similarity?
Teachers comparing submissions, editors checking drafts against a brief, and writers verifying their text against a known source document.