Upload RIS files from Scopus, Web of Science, PubMed, CINAHL, Embase, or other sources, detect duplicates quickly, review results, and export a clean set. Everything runs locally in your browser.
Works with common database exports using RIS format.
Pool records from multiple sources into one deduplication run.
Match by DOI, title, PMID, or abstract prefix.
Download your clean references as RIS or CSV.
Export RIS files from each database you searched.
Drag all files into the upload area below.
Review duplicate flags and adjust any false matches.
Export the cleaned set as RIS or CSV.
Drag and drop one or more .ris files, or click to browse. Records will be merged and checked for duplicates across all uploaded files.
Each .ris file is read as plain text. Records are split on ER -, and RIS tags such as TI, AU, DO, and PY are extracted into structured fields.
Before matching, titles and DOIs are cleaned to reduce noise. For example, titles are lowercased and stripped of punctuation, while DOI prefixes such as https://doi.org/ are removed.
The first record with a given key is treated as canonical. Later records that match an enabled key are flagged as duplicates of that earlier record.
A record is flagged if any enabled condition matches: DOI, title, PMID, or abstract prefix. This uses logical OR rather than requiring all fields to agree.
The duplicate flag is reversible. Use the checkbox beside each row to keep or exclude any record before export.
RIS export preserves parsed fields for reference managers. CSV export flattens key information for documentation and screening workflows.