What types of information can the tool detect?

It can detect email addresses, phone numbers, IPv4 addresses, credit card numbers, API keys and tokens, national ID cards, passport numbers, and names after name labels.

Are repeated entities replaced consistently?

Yes. The same detected entity receives the same pseudonym throughout the text.

Which replacement modes are available?

You can use stable labels, synthetic placeholders, or deterministic hashes.

Can I receive the replacement mapping?

Yes. Enable Include Mapping to request the mapping in the JSON result.

What does the Mapping Seed do?

The optional seed supports deterministic pseudonym generation, so the same input settings can produce repeatable replacements.

Elysia Tools

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Text Processing

Consistent Pseudonym Text Anonymizer

Detect common PII in text and replace repeated entities with stable, auditable pseudonyms without sending the text to a model.

Execution

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2 examples

Keep repeated contacts consistent

Replace the same email and phone everywhere with stable labels while retaining a safe audit mapping.

{"anonymizedText":"Email EMAIL_1 and EMAIL_1; phone PHONE_1.","uniqueEntities":2}

Use deterministic hashes for sharing

Create repeatable hash pseudonyms without returning the sensitive reverse mapping.

{"uniqueEntities":1,"mappingIncluded":false}

Inputs

Set the required fields, then run the tool.

5 options

ContentPaste or type the main input values.2

Text ContenttextareaRequiredMapping SeedtextOptional

SettingsAdjust formats, ranges, numbers, and modes.2

Entity TypesselectOptionalReplacement ModeselectOptional

TogglesEnable or disable optional behavior.1

Include MappingcheckboxOptionalEnabled when checked

Result

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Samples

Consistent Pseudonym Text Anonymizer

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Key facts

Overview

When to use

How it works

Use cases

Examples

1. Keep repeated contacts consistent

2. Use deterministic hashes for text sharing

FAQ

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