RividTechFix Delimiter
Detect comma, semicolon, tab, or pipe delimiters; strip BOM; normalize line endings; export clean CSV or TSV.
Shortcuts: ⌘/Ctrl+Enter download · ⌘/Ctrl+Shift+C copy · Esc clear
Drop a file or click to browse
or paste data below
How to use Fix Delimiter
Detect comma/semicolon/tab/pipe, strip BOM, normalize line endings. Follow these steps to get a reliable result in seconds.
- 1
Paste or upload your data.
- 2
Adjust the available options for your use case.
- 3
Review the processed result.
- 4
Copy or download the result.
Common use cases
Practical ways people use Fix Delimiter on RividTech.
European and messy exports
Normalize semicolon, tab, or pipe-separated files and strip BOM issues.
Fix Delimiter FAQs
Quick answers about privacy, limits, and how this tool works.
Which delimiters are detected?
Common separators such as comma, semicolon, tab, and pipe, plus BOM stripping and line-ending normalization.
Is Fix Delimiter free to use?
Yes. Fix Delimiter 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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