wyreup
privacy

Text Redact

Replace PII patterns in text — emails, phones, SSNs, credit cards (Luhn-validated), IPs, URLs, UUIDs, AWS access keys. Optional custom regex patterns. Text-only sibling of pdf-redact.

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About Text Redact

Text Redact finds and replaces personally identifiable information in plain text: emails, phone numbers, SSNs, Luhn-validated credit card numbers, IP addresses, URLs, UUIDs, and AWS access keys, with room to add your own regex patterns. It's the text-only sibling of pdf-redact, ideal for cleaning logs, transcripts, and support tickets before you share them. Everything happens in your browser, so the sensitive data you're scrubbing never gets uploaded.

Category
privacy
Input
Accepts: text/plain.
Output
Outputs: text/plain (multiple).
Cost
Free, runs in your browser
Memory
low
Privacy: Text Redact runs entirely on your device. Files you provide never leave your browser — no uploads, no server, no tracking. The page works offline once loaded.

Common uses

  • Strip emails and phone numbers out of a support transcript before pasting it into a bug report
  • Mask credit card numbers in a log dump, with Luhn validation cutting down false positives
  • Remove AWS access keys and IPs from a stack trace before sharing it publicly
  • Sanitize a dataset of free-text comments before sending it to a vendor
  • Add a custom regex to redact internal ticket IDs or employee numbers alongside the built-ins
  • Clean a chat export of SSNs and UUIDs before attaching it to a ticket

Frequently asked questions

What PII patterns does it detect out of the box?

Emails, phone numbers, SSNs, credit cards (Luhn-validated), IP addresses, URLs, UUIDs, and AWS access keys.

Can I add my own patterns?

Yes. You can supply custom regular expressions to catch organization-specific identifiers the built-in patterns don't cover.

Is my text uploaded?

No. Redaction runs entirely client-side in your browser, so the text and the PII in it never leave your device.

How is this different from Redact PDF?

This is the text-only sibling: it works on plain text rather than PDF page content. For documents, use pdf-redact instead.

Will pattern-based redaction catch everything?

It catches well-structured PII like emails and card numbers reliably, but free-form mentions (a name in a sentence) need a language-aware tool; for that, see Redact PII.

Keywords

  • redact
  • pii
  • privacy
  • sanitize
  • mask
  • email
  • phone
  • ssn
  • credit-card
  • security

Try next

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Cover sensitive content in a PDF document rather than plain text.
Redact PII
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Catch free-form PII like names and places that regex patterns miss, using a hosted LLM.
File Fingerprint
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Hash the redacted output to prove the version you shared is the one you intended.
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Remove EXIF metadata (including GPS, camera model, timestamps) by re-encoding at near-lossless quality.
Face Blur
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Detect every face in a photo and blur it — runs entirely on your device.
Redact PII
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Hosted LLM strips personal data — names, emails, phones, addresses, SSNs, card-shaped numbers — replacing each with [REDACTED]. Catches free-form mentions ("met Joe at Acme HQ in March") that pattern-based redaction misses. Uses 2 credits per run.
PGP Encrypt
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Encrypt a file using a PGP public key. Outputs ASCII-armored or binary ciphertext.
PGP Decrypt
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Decrypt a PGP-encrypted file using your private key.
PGP Sign
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Create a detached PGP signature for any file using your private key.
PDF to Text
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Extract plain text from a PDF file.
Base64
convert

Encode any file to Base64 text or decode Base64 back to bytes.