free tool · csv validator

Validate CSV files before they break your import.

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.

No upload, no signupRequired column checksEmail validationDuplicate detection
4rows checked
1valid rows
3issues
CSV input
Validation results
RowColumnIssueValue
3emailEmail format looks invalidmia@globex
4nameRequired value is missing
5emailDuplicate value, first seen on row 2[email protected]

Validation runs locally in your browser. Your CSV never leaves this page.

Need this before customers click import?

Rowslint validates rows inside your product, highlights bad data, and sends only clean rows to your backend.

Add CSV validation
01

How to validate a CSV file

Use this validator when you want to quickly understand why a customer CSV, export, or migration file may fail before it reaches your backend.

01

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.

02

Choose validation rules

Enter required columns, pick an email column, and choose a unique column for duplicate detection.

03

Review issues or download clean rows

Copy the issue report for debugging, or download a filtered CSV containing only rows that passed the selected checks.

02

A CSV validator for the problems that block onboarding

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.

Required fields

Check that important fields like name, email, company, plan, or account_id are present and filled in every row.

Invalid emails

Find email values that are missing a domain, extension, or @ symbol before they hit your product database.

Duplicate detection

Use a unique column such as email, sku, account_id, or external_id to spot duplicate records inside the file.

Row shape problems

Catch rows with too many or too few cells compared with the header row, which often means a delimiter or quote issue.

Private validation

The CSV is parsed and checked in the browser. It is useful for sensitive customer exports and internal data samples.

Clean row export

Download rows that passed the checks so you can continue testing, debugging, or importing a safer subset.

03

Common CSV validation checks

These checks map closely to the failures SaaS teams usually see during account setup, data migration, and recurring customer imports.

Onboarding imports

Validate required columns and emails before a customer uploads contacts, members, leads, or accounts.

Migration files

Check duplicate IDs and missing fields before loading a legacy export into a new database.

Support debugging

Paste a customer CSV and send back a precise row-level issue report instead of asking for screenshots.

Importer QA

Generate realistic failing files so your product importer handles bad rows gracefully.

04

Questions about this tool

Short answers for the things people usually ask.

Is this CSV validator free?

Yes. It is free, requires no signup, and runs locally in your browser.

Is my CSV uploaded anywhere?

No. The validation happens in JavaScript on this page. Your CSV is not sent to Rowslint or any external server.

What can it validate?

It checks required columns and required values, email format, duplicate values in a selected column, and rows that do not match the header shape.

Can I validate semicolon or tab-separated files?

Yes. Use auto-detect or choose comma, semicolon, tab, or pipe delimiters manually.

How do I validate CSV files inside my own product?

Rowslint embeds validation in your import flow so customers can fix bad rows before anything reaches your backend.

from one-off tools to product workflows

Let customers import CSV and Excel files inside your app.

Rowslint adds mapping, validation, and clean row delivery to your product so your team is not building an importer from scratch.