HC200ok/manual-data-masking

A lightweight javascript library for manual data masking

35
/ 100
Emerging

This tool helps you manually identify and obscure sensitive information within text, like customer comments or reviews. You input raw text, mark the sensitive portions, and then receive both a list of the masked data with its category (e.g., "Phone Number") and a new version of the text with the sensitive parts hidden. This is designed for data annotators, content moderators, or anyone preparing text datasets where privacy or compliance requires masking specific details.

No commits in the last 6 months. Available on npm.

Use this if you need to visually select and categorize sensitive data points within text for privacy, compliance, or to create training datasets for automated masking tools.

Not ideal if you need an automated solution for large volumes of text or if you are looking for a backend-only data processing library.

data-annotation content-moderation privacy-compliance data-labeling text-redaction
Stale 6m No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 25 / 25
Community 4 / 25

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Stars

21

Forks

1

Language

JavaScript

License

MIT

Last pushed

Jul 19, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/HC200ok/manual-data-masking"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.