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-indholdslighedstjekker

Sammenlign to Markdown-dokumenter for indholdsoverlap. Jaccard-lighed, faelles ord og faelles fraser.

Dokument A 0 chars

Dokument B 0 chars

Oversigt — Hvad gratis Markdown-indholdslighedstjekker gør

Hvad dette gratis værktøj 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

Privatliv: Dette værktøj kører helt i din browser. Din tekst uploades, logges eller caches aldrig. Luk fanen, og den er væk. Verificer i DevTools → Network: ingen forespørgsler sendes.

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

Läuft im Browser.

Brugstabel

Hurtigoversigt

Input	Output	Typisk størrelse	Hastighed	Login kræves
Two Markdown documents	Similarity %, shared words, shared phrases	Any document size	< 50 ms	No