RividTechValidate CSV
Check required fields, uniqueness, and email/URL/number patterns. Download an issues report as CSV.
Required columns
Unique columns
Drop a file or click to browse
or paste data below
0 rows · 0 columns · 6 issue(s)
How to use Validate CSV
Check required fields, uniqueness, email/URL/number patterns. Follow these steps to get a reliable result in seconds.
- 1
Load CSV data (or use the sample).
- 2
Mark required and unique columns; pick email/URL/number checks.
- 3
Review issue counts and empty-cell summary.
- 4
Download the issues report CSV.
Common use cases
Practical ways people use Validate CSV on RividTech.
Import QA
Catch missing required fields, duplicate IDs, and bad emails before loading data.
Validate CSV FAQs
Quick answers about privacy, limits, and how this tool works.
What checks can I run?
Mark required and unique columns, and optionally validate email, URL, and number patterns. Download an issues report as CSV.
Is Validate CSV free to use?
Yes. Validate CSV on RividTech is free, with no account or signup required.
Is my data uploaded to a server?
No. Processing runs entirely in your browser. RividTech does not upload your file contents for conversion or cleaning.
Is there a file size limit?
Limits depend on your device and browser memory. Very large files may run slowly; try Sample Data or Split CSV for huge datasets.
More site-wide answers on the FAQ page.
Why RividTech?
A simple, private toolkit for everyday structured-data tasks — without signing up or sending files to the cloud.
Private by design
Your files are processed in your browser. RividTech does not upload your CSV, TSV, or JSON content to our servers for conversion.
Fast and free
No account, no install, and no wait for server round-trips. Tools run instantly on your device.
Built for real workflows
Convert formats, generate SQL, preview tables, remove duplicates, and filter data — then copy or download when you are done.
Works anywhere
Use the tools on desktop or laptop with a modern browser. Ideal for quick one-off tasks and everyday data cleanup.
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