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-innholdslikhetssjekker

Sammenlign to Markdown-dokumenter for innholdsoverlapping. Jaccard-likhet, delte ord og delte fraser.

Dokument A 0 chars

Dokument B 0 chars

Sammendrag — Hva gratis Markdown-innholdslikhetssjekker gjør

Hva dette gratisverktøyet er

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

Personvern: Dette verktøyet kjører helt i nettleseren din. Teksten din blir aldri lastet opp, logget eller bufret. Lukk fanen og den er borte. Verifiser i DevTools → Network: ingen forespørsler sendes.

Hvorfor det er gratis (og hvordan vi holder det gratis)

Läuft im Browser.

Brukstabell

Hurtigreferanse

Inndata	Utdata	Typisk størrelse	Hastighet	Pålogging nødvendig
Two Markdown documents	Similarity %, shared words, shared phrases	Any document size	< 50 ms	No