How is similarity calculated?

Using Jaccard similarity on unique word sets: shared words divided by total unique words across both documents, expressed as a percentage.

What are shared phrases?

Two-word sequences (bigrams) that appear in both documents. They indicate structural or content overlap beyond individual word matching.

Is this a plagiarism detector?

It measures content overlap, which is one indicator of plagiarism. However, it does not check against external sources -- only the two documents you provide.

Does it understand Markdown syntax?

Yes. Markdown formatting and code blocks are stripped before comparison, so only prose content is measured.

No. Both documents are processed entirely in your browser. Neither is ever sent to a server.

Markdown-innehallslikhetskontroll

Jamfor tva Markdown-dokument for innehallsoverlappning. Jaccard-likhet, delade ord och delade fraser.

Dokument A 0 chars

Dokument B 0 chars

Sammanfattning — Vad gratis Markdown-innehallslikhetskontroll gör

Vad detta gratis verktyg är

Free Markdown Content Similarity Checker compares two Markdown documents for content overlap using Jaccard similarity on unique word sets. It reports a similarity percentage, shared and unique word co

Integritet: Detta verktyg körs helt i din webbläsare. Din text laddas aldrig upp, loggas eller cachas. Stäng fliken så är den borta. Verifiera i DevTools → Network: inga förfrågningar skickas.

Varför det är gratis (och hur vi håller det gratis)

Läuft im Browser.

Användningstabell

Snabböversikt

Indata	Utdata	Typisk storlek	Hastighet	Inloggning krävs
Two Markdown documents	Similarity %, shared words, shared phrases	Any document size	< 50 ms	No