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PII Detector for Datasets

Scan datasets for common personally identifiable information and sensitive tokens before exporting, sharing or training on the data. This tool checks CSV, JSON and JSONL locally in your browser and generates a reviewable findings report.

AI Prep

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Read locally in your browser only

This tool does not upload files to a server.

Scan options

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Rows scanned

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Fields scanned

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Findings

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Scan dataset rows for emails, phones, URLs, IPs and likely API keys.

Summary JSON

Findings

Review a sample of flagged rows and fields before sharing or training on the dataset.

No scan results yet.

What this tool does

PII Detector for Datasets scans structured data for common sensitive patterns such as emails, phone numbers, URLs, IPv4 addresses and likely API keys. It is designed as a lightweight browser-side review step before you export data externally or feed it into model workflows.

That makes it useful for AI data prep, internal sharing and dataset hygiene, especially when source files were collected from support logs, tickets, forms or spreadsheets.

  • Scan CSV, JSON and JSONL inputs locally in your browser.
  • Limit checks to chosen fields or scan every string field automatically.
  • Review findings by row number, field and detected pattern type.

Best practices and limitations

Pattern detection is a first-pass safety check, not a legal or compliance guarantee. A finding can be a false positive, and some real sensitive data may not match the built-in patterns.

The best workflow is to scan first, review flagged rows manually, then decide whether to redact, drop or transform the affected fields before moving on.

  • Treat the report as a review list, not an automated compliance decision.
  • Focus the scan on known text fields when you want more targeted results.
  • Run the detector before sharing datasets with other teams or vendors.

How to use

  • Paste CSV, JSON or JSONL content, or import a local dataset file.
  • Choose the input format and optionally limit the scan to specific fields.
  • Run the scan to review findings, flagged rows and a downloadable JSON report.

Example

Input

[{"email":"team@example.com","note":"Call +1 555 0100"}]

Output

Rows flagged: 1 | Findings: 2 | Types detected: email, phone

Privacy note

All dataset parsing and PII scanning happen locally in your browser. Imported files are read on your device only and are not sent to QuickTinyData.

Recommended Guides

Start with these higher-value walkthroughs to understand the workflow around this tool, not just the button clicks.

FAQ

What kinds of sensitive patterns can this tool detect?

It scans for common emails, phone numbers, URLs, IPv4 addresses and likely API-key style tokens.

Does this guarantee that the dataset is safe to share?

No. It is a lightweight detection pass that helps surface likely issues, but you should still review flagged rows and apply your own privacy standards.

Can I scan only selected columns or fields?

Yes. Enter a comma-separated list of fields to narrow the scan instead of checking every string field.

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