The author built a TypeScript + Node.js UI tool on top of MS Presidio to detect and mask sensitive data in text, images, and structured data, and welcomes feedback and
TypeScript and Node.js web application; integrates Microsoft Presidio for PII detection and masking; text, image, and structured data processing; open-source.
2025-08-27
- Website
Highlight 1
Leverages Microsoft Presidio to provide robust PII detection and masking capabilities with a configurable policy layer.
Highlight 2
Supports multiple data types (text, images, and structured data), enabling end-to-end privacy scrubbing in a single workflow.
Highlight 3
Open-source with a clear focus on privacy and data protection, inviting collaboration and contributions.
Improvement 1
Performance and scalability improvements for large datasets or batch processing (e.g., incremental processing, multiprocessing, or streaming).
Improvement 2
Onboarding, documentation, and UI tutorials to help new users understand configuration, deployment, and masking options.
Improvement 3
Enhanced UX for results review and export (e.g., per-item feedback, audit trails, error handling, and export formats like JSON/CSV with masked fields).
Product Functionality
Add batch processing and API/CLI access for automation; extend detectors with custom PII types and support for more data formats (PDF, DOCX); provide configurable export options (JSON, CSV) and masking templates; enable auditing and versioned policies.
UI & UX
Improve onboarding with guided setup and tutorials; enhance result review with per-item feedback, comparison of before/after, and export options; add drag-and-drop upload, dark mode, responsive design, and better error messaging.
SEO or Marketing
Improve README and add a dedicated marketing landing page; create tutorials and use-case videos; implement SEO best practices (meta tags, schema markup), publish case studies; set up a docs site for easier access to installation and usage.
MultiLanguage Support
Introduce UI translations (i18n) and documentation localization; consider language-aware PII detection hints; provide examples and samples in multiple languages to help global users.
- 1
What is Maskwise?
Maskwise is an open-source web application that detects and masks PII in text, images, and structured data using Microsoft Presidio. It helps scrub sensitive information from datasets used for training or analytics.
- 2
What data can Maskwise handle and how does it work?
Maskwise scans input text to identify sensitive elements (names, emails, addresses, etc.), masks or redacts them according to configurable rules, and can also process images to obscure sensitive parts. It supports structured data too and outputs sanitized results.
- 3
How do I deploy and configure Maskwise?
Maskwise is a TS/Node.js web app. Refer to the repository docs for setup instructions, including prerequisites (e.g., Node.js, Presidio), deployment steps, and how to customize masking policies and output formats.