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Help Covidence users find and download PDFs for papers during full-text screening. Find and download PDFs faster from Covidence (www.covidence.org). Covidence PDF Finder helps reviewers save time during full-text screening by reducing the repetitive work of searching for article PDFs across different websites. Instead of copying and pasting titles or DOIs over and over, use Covidence PDF Finder to: • Search for open-access PDFs directly from Covidence • Download validated PDF files when a direct PDF is found • Searches PDFs in Google Scholar, Google Search, OpenAlex, DOI pages, ResearchGate, and Semantic Scholar with just a few clicks • Search your own institutional library database by DOI or title • Keep downloaded filenames cleaner using study metadata from Covidence • Reduce manual searching during systematic reviews, scoping reviews, and other evidence synthesis projects How it works When you are on a Covidence full-text review page, the extension adds a Find + Download PDF button to each study card. Click the button to search open-access sources. If no direct PDF is found, use the search options menu to continue searching other sources or your library database. Who it is for Covidence PDF Finder is designed for researchers, students, librarians, and evidence synthesis teams who need a faster way to locate full-text PDFs. Independent tool Covidence PDF Finder is an independent tool for Covidence users. It is not affiliated with, endorsed by, or sponsored by Covidence.
May 30, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.