3 items
Upload a CSV file and autofill web forms with one click. Reads column headers and matches them to form fields automatically. Stop copy-pasting from spreadsheets into web forms. CSV Form Autofill fills any web form from a CSV file in one click. Upload your data, select a row, click Autofill — done. HOW IT WORKS: 1. Click the extension icon on any page with a form 2. Upload your CSV file (first row must be column headers) 3. Select a row from your data 4. Click "Autofill Selected Row" 5. Every matched field fills instantly SMART MATCHING: Automatically matches your CSV column names to form fields using labels, names, IDs, placeholders, and aria-labels. No manual setup needed for most forms. WORKS WITH: • Text inputs, textareas, email, phone, number fields • Dropdown menus (select boxes) • Checkboxes and radio buttons • React, Vue, Angular, and standard HTML forms • Any website — supplier portals, CRMs, marketplaces, government forms WHO USES IT: • Ecommerce operators entering products into supplier portals • Data entry workers filling the same form from a spreadsheet all day • Real estate agents filling MLS and listing forms • Insurance and finance professionals handling client intake • QA testers automating form testing • Anyone who exports data to CSV and then types it back into a web form PRIVACY: All processing is 100% local. Your CSV data never leaves your computer. No accounts, no servers, no tracking. Free to use. Pro Pack (source code + templates) available on Gumroad.
May 22, 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.