SheetPair is a browser-based tool for comparing two CSV or Excel files. Upload both files, map the columns you want to match on, and instantly see what's matched, what's different, and what's missing.
How it works: Drop in two files, select your key columns, and SheetPair shows matched rows, rows with differences (highlighted cell by cell), and rows that only exist in one file. Results are ready in seconds, even with thousands of rows.
Privacy-first: All processing runs in your browser using Web Workers. Your files never leave your machine โ there's no upload endpoint and no server-side storage. Verify it yourself in DevTools.
Smart matching: Exact matching via hash-map lookup, Jaro-Winkler fuzzy matching for typos and formatting differences (e.g., "Jon Smith" vs "John Smith"), and numeric tolerance matching for rounding (e.g., $100.00 vs $99.99).
Built for: Accountants doing bank reconciliation, analysts comparing datasets, small businesses matching vendor lists or invoices, developers validating data migrations, and anyone tired of VLOOKUP across two spreadsheets.
Free tier: Compare up to 1,000 rows with 3 reconciliations per day. No signup required. Paid plans support up to unlimited rows with AI-powered features.
File Formats
CSV and Excel (XLS, XLSX)
Privacy
Data never leaves your browser
Matching
Exact, fuzzy (typo-tolerant), and numeric tolerance
AI Features
AI column detection and mapping suggestions
Row Limit (Free)
Up to 1,000 rows per file
Export
CSV and Excel export
Your data never leaves your browser. Unlike most comparison tools, SheetPair processes files entirely client-side using Web Workers. No uploads, no servers, no risk. It also supports fuzzy matching for typos and AI-powered column detection โ features you usually only find in enterprise tools.
Most file comparison tools (Beyond Compare, Diffchecker) compare lines of text. SheetPair understands rows and columns โ it matches records across two files, highlights differences per field, and shows what's missing from each side. It's purpose-built for data reconciliation, not generic diffing. Plus it's free to start with no signup required.
Next.js, TypeScript, Tailwind CSS, Cloudflare Workers, Supabase, and Claude AI (Anthropic). File parsing and matching run in browser Web Workers for speed and privacy.
Accountants, finance teams, data analysts, and operations managers who regularly need to compare spreadsheets โ bank reconciliations, invoice matching, inventory audits, or migrating data between systems. Anyone who's tired of doing VLOOKUP across two files.
I kept seeing people struggle with comparing two spreadsheets โ writing complex VLOOKUP formulas, copy-pasting between files, or paying for clunky enterprise software. I built SheetPair to make it as simple as uploading two files and clicking a button. Privacy was a priority from day one โ your data stays in your browser.
I don't have verified, up-to-date information about SheetPair (sheetpair.com), so I can't confirm whether it's a legitimate or high-quality product. I'd recommend researching independent reviews, checking user feedback, and verifying the site's legitimacy before using it or making any payments.
We have collected here some useful links to help you find out if SheetPair is good.
Check the traffic stats of SheetPair on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of SheetPair on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of SheetPair's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of SheetPair on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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