Consecutive-word matching
Identifies matching word sequences in the manuscript and readable retrieved source texts. Longer phrases are prioritised and counted once.
Upload one manuscript, discover accessible scholarly sources, review verified matching passages, and create a source-linked report. Your document stays in the browser.
Research paper, thesis chapter or dissertation. Additional document uploads are not required.
Text-based PDF, DOCX or TXT · up to 12 MB · scanned PDFs require OCRUpload just one document. BRIHANTRA will search publicly indexed academic records and assess text that is legally and technically accessible.
Matching instances are excluded from the similarity numerator and the eligible-word denominator. These phrases are never sent to search providers.
Upload one manuscript to begin.
No manuscript selected.
Interpretation matters: A similarity percentage is not a plagiarism verdict. Legitimate citations, shared terminology and standard phrases may match. The score reflects only the retrieved readable sources, never the entire web or publisher databases.
Exclude or restore an individual source to recalculate the locally checked similarity score. This does not change what was retrieved.
Only report summaries are stored on this browser. Full manuscript text and files are never added to local history.
BRIHANTRA Originality v1.6 reviews a single uploaded manuscript against selected accessible academic source text. It is not an internet-wide plagiarism screening system or a plagiarism adjudicator.
Identifies matching word sequences in the manuscript and readable retrieved source texts. Longer phrases are prioritised and counted once.
Compares word overlap and three-word patterns to flag passages with minor wording changes. It cannot reliably identify conceptual copying or substantial paraphrasing.
Matched, eligible target words ÷ all eligible target words. Reference-list and quotation exclusions alter the denominator. It is not a Turnitin or iThenticate equivalent.
Text is processed in your browser, without transmitting manuscripts to our server. Text-based PDFs need a PDF parsing library loaded online; scanned PDFs with no text layer require OCR and are not supported.
The app searches public OpenAlex, Crossref, and Europe PMC records after consent. It compares accessible abstracts and eligible Europe PMC open-access article-body text. It does not access the entire web, paywalled publisher full texts, or institutional plagiarism databases.
No. AI text detection is not included in this release, and such estimates can be unreliable.
Some PDFs are scanned page images with no selectable text. Use an OCR tool to create a searchable PDF or convert its text into DOCX/TXT before uploading.
No institutional acceptance or equivalence to official similarity-check platforms is claimed. Use this for preliminary self-review; follow your institution’s policies for official submissions.