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local-ai

DataInfra-RedactionEverything: Local Redaction

Get local AI redaction with DataInfra-RedactionEverything, for founders needing secure data control, built in TypeScript with 595 GitHub stars.
intermediateโฑ 30 minutes๐Ÿ’ต Free (self-hosted)
1,147 stars168 forksTypeScriptQuality 9/10Updated 7/22/2026100% free ยท open source
What it is

Redacts everything in data with local large language models and vector databases.

What you can make with it

Automations that scrub sensitive information from any product data.

How it helps

Saves the time and manual labor of searching and replacing sensitive information in large datasets.

Real use case example

"A data analyst uses this automation to remove credit card numbers from a dataset and exports the scrubbed data to Google Sheets for reporting."

If you're new

Pick this up when you need a basic data redaction tool for your first AI project.

If you're senior

Reach for this when you need fine-grained redaction control and integration with your existing vector database setup.

Common confusion cleared up

This skill does not require an API key to run locally.

Best inside these AI tools
Claude DesktopSelf-hostedAny AI Client
Pairs with
Stripe webhookNotion databaseAmazon product data
Why we list it on WorkflowStacks: Comes with DataInfra Series and is free and open-source.
What it does

DataInfra-RedactionEverything is a local AI tool that redacts sensitive data using local large language models (LLMs) and vision models (VLMs), providing founders with secure data control.

Install / run
git clone https://github.com/TracyWang95/DataInfra-RedactionEverything.git
When to use it
  • โ€ขWhen working with sensitive customer data that requires redaction for compliance
  • โ€ขWhen building a data pipeline that needs to anonymize personally identifiable information (PII)
  • โ€ขWhen testing data-driven applications that require realistic, redacted data samples
Quick start
  1. 1Navigate to the cloned repository: cd DataInfra-RedactionEverything
  2. 2Review the README for specific redaction model configurations and usage examples
  3. 3Run the TypeScript compiler to build the project: tsc
  4. 4Import the necessary models and libraries in your TypeScript file, e.g., import { Redactor } from './redactor'
  5. 5Create a new instance of the Redactor class and call the redact method with your sensitive data
Ready-to-paste prompt
const redactor = new Redactor(); const redactedText = redactor.redact('My name is John Doe, and my email is johndoe@example.com');
Heads up: Ensure you have Node.js and TypeScript installed on your system, as DataInfra-RedactionEverything is built with TypeScript and relies on Node.js for execution
Saves to your device
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

10
top-level files
9
folders
11.0M
repo size
Other
license
Key files
package.json
README_zh.md
README.md
File tree
.github/
backend/
deploy/
dist-release/
docs/
e2e/
frontend/
scripts/
tools/
.dockerignore
.env.example
.env.production.example
.gitignore
docker-compose.yml
LICENSE
package.json
README_zh.md
README.md
SECURITY.md
Quick Actions
Details
Creator
TracyWang95
Language
TypeScript
Category
local-ai
Published
1/28/2026

Are you the creator of this tool? Claim your listing โ†’ and earn 85% of every sale.

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