Names and people fields
Swap personal names with consistent stand-ins for safer demos and reviews.
Privacy-first
Use this CSV and Excel sanitizer to anonymize spreadsheet data locally. Upload in your browser, choose which columns to mask, preview safe stand-ins, and download without server uploads.
Spreadsheet rows stay in this tab. No file contents are sent to the server.
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CSV, TSV, XLSX, or XLS.
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Suggested fields start checked.
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Same input, same stand-in.
Step 1
CSV, TSV, XLSX, or XLS. Parsed locally.
Drop anywhere on the page or click to choose
CSV, TSV, XLSX, XLS. Excel uses the first worksheet.
Browser-only
Refreshing the page clears the in-tab copy.
Quick guide
Excel uses the first sheet.
Names, emails, phones, and IDs are detected.
Repeated values stay consistent.
Why teams use this spreadsheet sanitizer
Teams and vendors
Prep exports before they go to partners or support tickets.
Clearer review
See which columns look sensitive before you commit.
No signup
Open the page, run the workflow, close the tab when you are done.
Spreadsheet anonymization
Sanitize Data is built for people who need to anonymize spreadsheet data before it leaves their team. It looks for common sensitive patterns in CSV and Excel files, then gives you a chance to confirm every column before download.
Swap personal names with consistent stand-ins for safer demos and reviews.
Mask customer, vendor, supplier, and organization names before you share.
Replace email fields with realistic aliases while keeping repeated values aligned.
Hide phone and fax fields without breaking the familiar number format.
Cover account numbers, customer IDs, SSNs, tax IDs, and other identifying codes.
Generate stand-ins for street details, dates, and number-like values in the same file.
CSV anonymizer use cases
This tool fits the common moments where raw spreadsheet exports are useful but the original values should not travel with them. The goal is not to redact a screenshot. It is to produce a shareable spreadsheet that still behaves like the source file.
Share spreadsheet extracts with agencies, contractors, and service providers without exposing raw PII.
Trim sensitive spreadsheet data before you attach files to tickets, bug reports, or onboarding notes.
Create safer sample data for product walkthroughs, internal testing, and customer education.
Let teams review patterns in CSV exports without passing around real names, emails, or identifiers.
Before you share a spreadsheet
These are the questions people usually ask before they send a spreadsheet to another team, vendor, or client.
Yes. This spreadsheet sanitizer reads the file in your browser tab, suggests likely sensitive columns, and creates the sanitized download locally.
Start with names, company names, email addresses, phone numbers, addresses, dates, and account or identity columns. The app suggests columns based on headers and sample values, then lets you review them before download.
Yes. The sanitizer generates deterministic stand-ins, so the same source value stays matched to the same replacement across the file.