Mask PII before GPT-5.5 analysis with Google Sheets audit logs

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1. Workflow Overview

Best for

Document Extraction automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.code, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.respondtowebhook, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Țugui Dragoș.

Original n8n.io source

1.1 Workflow description

Title: Mask PII before GPT-5.5 analysis with Google Sheets audit logs
Workflow name: Mask PII before GPT-5.5 analysis with Google Sheets audit logs

This template is for compliance teams, support teams, HR operations, legal teams, and builders who want to use AI analysis while reducing exposure of personal data. It is useful when documents, tickets, or form submissions may contain emails, phone numbers, addresses, IDs, or other sensitive values.

How it works

The workflow receives text through a webhook, detects structured PII with regex patterns, and applies lightweight context-based matching for names and addresses. Detected values are replaced with reversible tokens before the sanitized text is sent to GPT-5.5 for analysis. The workflow stores token metadata and audit information in Google Sheets, restores original values from the in-execution vault after analysis, logs the processing result, and returns a JSON response.

How to set up

Create a Google Sheet with PII Vault and Audit Log tabs. Connect Google Sheets and OpenAI credentials, then send a POST request to the /pii-proxy webhook with a text field.

Requirements

OpenAI access to GPT-5.5, Google Sheets credentials, and webhook access in n8n.

How to customize the workflow

Add country-specific PII patterns, replace Google Sheets with encrypted database storage, route high-risk documents to manual review, or return masked output for lower-privilege users.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Receive Document

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2.1

Block 2 - Detect PII via Regex

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 3 - Tokenize and Replace PII

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 4 - Store Token Vault

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 5 - OpenAI Analyze Sanitized Text

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 2.3

Block 6 - Restore Original PII

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 7 - Log Audit Trail

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.7

Block 8 - Return Processed Document

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.5

Block 9 - PII Proxy Overview

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Detection Phase

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Vault and Analysis

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Restore and Audit

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Mask PII before GPT-5.5 analysis with Google Sheets audit logs
Complexity	intermediate
Nodes	12
Categories	Document Extraction, AI Summarization
Author	Țugui Dragoș
Published	17 May 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/15773/15773.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows AI Summarization workflows

Frequently asked questions

What does Mask PII before GPT-5.5 analysis with Google Sheets audit logs do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.

Țugui Dragoș

18 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.code n8n-nodes-base.googlesheets @n8n/n8n-nodes-langchain.openai n8n-nodes-base.respondtowebhook n8n-nodes-base.stickynote

Complexity

intermediate

Published 17 May 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/15773/15773.json

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Mask PII before GPT-5.5 analysis with Google Sheets audit logs

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

How to set up

Requirements

How to customize the workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Receive Document

Block 2 - Detect PII via Regex

Block 3 - Tokenize and Replace PII

Block 4 - Store Token Vault

Block 5 - OpenAI Analyze Sanitized Text

Block 6 - Restore Original PII

Block 7 - Log Audit Trail

Block 8 - Return Processed Document

Block 9 - PII Proxy Overview

Block 10 - Detection Phase

Block 11 - Vault and Analysis

Block 12 - Restore and Audit

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions