Paste or upload CSV
Drop in a .csv, .tsv, or plain text file. Auto-detect handles common delimiters, or you can choose the delimiter manually.
Paste a CSV or upload a file and catch missing required values, invalid emails, duplicate keys, and row shape problems. The checks run locally in your browser.
Use this validator when you want to quickly understand why a customer CSV, export, or migration file may fail before it reaches your backend.
Drop in a .csv, .tsv, or plain text file. Auto-detect handles common delimiters, or you can choose the delimiter manually.
Enter required columns, pick an email column, and choose a unique column for duplicate detection.
Copy the issue report for debugging, or download a filtered CSV containing only rows that passed the selected checks.
The hard part of CSV import is not reading the file. It is catching the messy values while the user can still fix them. This tool shows those failures quickly.
Check that important fields like name, email, company, plan, or account_id are present and filled in every row.
Find email values that are missing a domain, extension, or @ symbol before they hit your product database.
Use a unique column such as email, sku, account_id, or external_id to spot duplicate records inside the file.
Catch rows with too many or too few cells compared with the header row, which often means a delimiter or quote issue.
The CSV is parsed and checked in the browser. It is useful for sensitive customer exports and internal data samples.
Download rows that passed the checks so you can continue testing, debugging, or importing a safer subset.
These checks map closely to the failures SaaS teams usually see during account setup, data migration, and recurring customer imports.
Validate required columns and emails before a customer uploads contacts, members, leads, or accounts.
Check duplicate IDs and missing fields before loading a legacy export into a new database.
Paste a customer CSV and send back a precise row-level issue report instead of asking for screenshots.
Generate realistic failing files so your product importer handles bad rows gracefully.
Short answers for the things people usually ask.
Yes. It is free, requires no signup, and runs locally in your browser.
No. The validation happens in JavaScript on this page. Your CSV is not sent to Rowslint or any external server.
It checks required columns and required values, email format, duplicate values in a selected column, and rows that do not match the header shape.
Yes. Use auto-detect or choose comma, semicolon, tab, or pipe delimiters manually.
Rowslint embeds validation in your import flow so customers can fix bad rows before anything reaches your backend.
Rowslint adds mapping, validation, and clean row delivery to your product so your team is not building an importer from scratch.