Compare two tabular data files (CSV or XLSX) and get a clear, readable report of what changed — rows added, removed, or modified, with before/after values for every field.
Live: https://diff.lailarallc.com
Upload two spreadsheets. Pick key columns (or let it auto-detect). Get:
- Row-level diff: added, removed, modified (with field-level before/after)
- Column-level diff: added, removed, renamed (with similarity score)
- Tolerant matching: whitespace, numeric equivalence, leading zeros, date formats
- Template summary paragraph in plain language
- Download as Excel (styled) or CSV
Everything runs in the browser — there is no backend, so files are parsed and compared client-side and never leave the user's machine.
Reconciling two versions of a spreadsheet — this month's price list against last month's, the distributor's item file against your own — is a routine task that normally means either eyeballing thousands of cells or asking someone to write a script. Both are slow, and eyeballing misses things. This tool gives analysts, consultants, finance teams, and auditors a defensible answer in seconds: exactly which rows and fields changed, stated in plain language, exportable to a styled Excel report they can attach to the file. Because nothing is uploaded to a server, it is safe to use on confidential pricing and customer data.
npm install
npm run dev
Opens at http://localhost:5173
Test:
npm test
90 tests (Vitest) covering the parser, normalizer, column detector, differ, summary generator, and export.
Deploy:
npm run deploy
Builds and deploys to Cloudflare Pages via Wrangler.
- React 19 + TypeScript + Vite
- Tailwind CSS v4
- SheetJS (file parsing) + ExcelJS (styled export)
- Vitest (90 tests)
- Deployed to Cloudflare Pages
src/
lib/
parser.ts CSV/XLSX parsing (SheetJS)
normalizer.ts Tolerant value matching (whitespace, numbers, dates)
column-detector.ts Key-column auto-detection and rename scoring
differ.ts Row- and column-level diff engine
summary-generator.ts Plain-language summary
export.ts Styled Excel / CSV export (ExcelJS)
components/ hooks/ React UI
tests/ Vitest suites + fixtures
MIT — see LICENSE.
Built by Lailara LLC — data hygiene and analytics consulting for specialty food brands scaling into national retail.