MapMyCSV helps operators move data between systems whose CSV formats do not agree. Add a source CSV and a blank target template, review suggested column mappings and validation issues, then export an import-ready CSV. Files and mappings stay in the browser. No account or subscription is required.
A startup from Austin, the United States that is founded by Scott Schard.
Automatic column matching
Suggests source-to-target header matches using normalized names and common field synonyms.
Manual mapping controls
Review every suggested match and manually select the correct source column before export.
Flexible target templates
Paste the required target headers or use the first row from an existing template CSV.
Browser-local processing
CSV parsing, mapping, validation, and export happen entirely in your browser; files are never uploaded.
Date normalization
Converts supported date values into consistent ISO YYYY-MM-DD format when mapping date columns.
Row-level validation
Flags missing required values and malformed dates before you import the resulting CSV.
Free mapped preview
Preview the first 10 mapped rows and the validation summary without an account or payment.
Import-ready CSV export
Produces a CSV with the exact target headers and column order; full export unlocks for $29 once.
Large CSV support
Tested with CSV files containing 100,000 rows; practical limits depend on browser memory.
No subscription
One-time $29 purchase with no account or recurring subscription.
MapMyCSV is for operations teams, administrators, bookkeepers, implementation consultants, and SaaS teams who regularly move data between systems. Typical uses include reshaping exports for CRM, accounting, ERP, HR, email-platform, and database import templates.
React, TypeScript, Vite, Papa Parse, and native browser File, Blob, download, and local-storage APIs. MapMyCSV is a static client-side application hosted on Cloudflare Pages; CSV contents are not sent to a backend.
MapMyCSV maps a messy source CSV into any target import template entirely inside the browser. It combines automatic header matching, manual overrides, date normalization, row-level validation, and an import-ready export without uploading the CSV, requiring an account, or charging a subscription.
Choose MapMyCSV when you need to fix a CSV import without buying a full data-integration platform or uploading sensitive data to a conversion service. It is focused on one job, works locally in the browser, provides a free mapped preview, and unlocks full exports for a one-time $29 payment rather than a recurring subscription.
MapMyCSV came from a recurring operations problem: the source data was available, the destination provided an import template, and the two CSVs almost matchedโbut the headers, dates, names, and column order were different. Every import became another round of spreadsheet surgery. MapMyCSV was built as a focused, private way to complete that mapping in the browser without uploading customer, financial, employee, or operational data.
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