Redact personal data from documents before sending them to AI

The system hides names, emails, and ID numbers in a document before AI ever sees them, then restores them if needed.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"document is uploaded"]:::trig s0["extract text from document"]:::task s1["scan for personal data"]:::task s2["mask data with tokens"]:::task s3["send masked document to ai"]:::svc s4["restore original details"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"ai analyzed document with privacy protected"/]:::out pay{{"safe ai use without compliance risk"}}:::pay s4 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsDocument Processing & OCRSpreadsheet & Database OpsFinance & AccountingSecurity & Compliance
Connects
PostgresClaude
Featured in

The problem it solves

You want to use AI to process invoices, contracts, or forms, but sending documents full of names, emails, and account numbers to an outside AI model feels risky for privacy and compliance. You need a way to get the AI's help without exposing anyone's personal information.

Who it fits

A finance, healthcare, or legal team that needs to run documents through AI while staying compliant with GDPR or similar privacy rules.

How it works

  1. A document is uploaded and its text is extracted
  2. The system scans the text for emails, phone numbers, ID numbers, and addresses
  3. Each piece of personal data is replaced with a secure placeholder token
  4. Only the masked document is sent to AI for analysis or summarization
  5. The system can restore the original details afterward and keeps a log of every step for audit purposes
What you get

Sensitive data that never reaches the AI

You can run documents through AI for analysis while personal details like names and ID numbers stay hidden and protected.

What you get

An AI-analyzed document with personal data protected throughout, plus an audit trail of what was masked and restored.

What you need

A Postgres database and an Anthropic (Claude) API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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