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AI SQL Schema Masker

Hide table & column names before sending to ChatGPT. Tables → T_001, columns → C_001. Fully reversible, 100% in your browser — nothing leaves your device.

World's first DITE masker100% in-browserNo data ever leaves your deviceFree forever

Mask raw SQL

Mask options:
Original SQL
Masked output
3

Restore AI response

Paste the AI's reply → Restore → copy original SQL back

Paste AI reply (with T_000001, C_000001, etc.)

Secure AI Prompt Compiler

Build tables & columns visually → generate an AI-safe masked prompt → restore the AI's SQL reply

Tables & columns
Table JOINs (how tables connect)
=
Generated prompt

Restore AI response

Paste the AI's SQL from the prompt you sent above

100% data security, client-side only. The DITE engine (lexer → contextual extraction → deterministic mapping → token-based transform) runs entirely in your browser — no data leaves your device. Web Worker keeps the UI responsive for large inputs.

What Is an AI Schema Masker?

An AI Schema Masker replaces real table names, column names, and SQL identifiers with anonymous placeholders before you paste a schema or query into an AI tool. When you paste raw SQL into ChatGPT, OpenAI servers see your actual database structure — including table names that can reveal your product domain, naming conventions, and data relationships. Masking first means only placeholders like T_001 and C_001 are ever sent; your real identifiers stay in your browser.

The masking is deterministic and reversible: the same identifier always maps to the same placeholder, so you can paste the AI's response back and restore your real names in one click. This makes it practical for GDPR, HIPAA, and PCI-DSS teams who need AI assistance for SQL work without violating data handling policies.

How it works

Mask Schemas in Seconds

01

Paste your SQL or schema

Paste raw SQL, a CREATE TABLE statement, or build a schema from tables and columns using the schema builder.

02

Mask identifiers

Click Mask. Every table name becomes T_001, every column name becomes C_001 — deterministically, so the same name always maps to the same token.

03

Send masked version to AI

Copy the masked SQL and paste it into ChatGPT, Claude, or any AI. Only placeholders are sent — your real schema stays in your browser.

04

Restore AI output

Paste the AI's response into the Restore section. The mapping replaces every placeholder back to your real table and column names.

Use cases

When Developers Mask Schemas

🤖

AI Pair Programming

Get SQL help from AI without exposing your production schema. Mask identifiers, get the query, restore real names.

💬

ChatGPT & Claude Queries

Ask AI to write or optimize SQL. Send the masked schema so the model has context without seeing your real table names.

🔍

Code Review With AI

Share SQL for review without leaking your database naming conventions or proprietary schema structure.

🗄️

SQL Generation

Describe your schema to AI using masked identifiers. AI generates correct SQL; you restore real names from the mapping.

🔗

API Design

Discuss API data models and database backing with AI safely — mask the schema before describing your architecture.

📄

Documentation

Generate schema documentation with AI assistance. Mask identifiers in examples so you can share docs publicly without exposing real names.

FAQ

FAQ

1What gets masked — and what stays visible?
Table names and column names are replaced with T_001, C_001 style placeholders. SQL keywords (SELECT, FROM, WHERE, JOIN, etc.), operators, and numeric literals are left unchanged so the AI can still understand the query structure.
2Is the masking reversible?
Yes. The tool uses deterministic masking: the same identifier always produces the same placeholder. The mapping is available in-page and can be downloaded as a JSON file. Paste the AI's SQL response into the Restore section and apply the mapping to get your real identifiers back.
3Does it work for both SQL and JSON schemas?
Yes. You can paste raw SQL statements or use the schema builder to describe tables and columns in JSON-like form. Both modes mask identifiers before generating the prompt you send to AI.
4Is this tool compliant with GDPR, HIPAA, and PCI-DSS?
The tool runs 100% in your browser — no SQL, schema, or mapping is ever uploaded to any server. That means no third-party data exposure from the masking step itself, which helps teams meet compliance requirements when using AI for database work.
5Can teams share masking mappings?
Yes. Download the mapping as a JSON file and share it with teammates. Anyone with the file can restore AI-generated SQL to the real identifier names, enabling team workflows where one person masks, one uses AI, and another restores.
6Why mask my schema before using AI?
Pasting raw SQL into ChatGPT exposes your real table and column names to the AI provider. Masking replaces identifiers with anonymous tokens so the AI helps with query logic without seeing your real schema or business domain.
7Can I use this tool before sending my database schema to GPT-4?
Yes. Paste your schema, click Mask, and copy the masked output — table names become T_001, column names become C_001. Paste the masked version into GPT-4, Claude, or any AI. After the AI responds, paste the result into the Restore section to get your real identifiers back.
8Can I use masked schemas with GitHub Copilot?
Yes. Paste masked SQL into your Copilot prompt. Copilot generates SQL using placeholder names. Paste the result into the Restore section to swap all placeholders back to your real identifiers.
9How do I restore original names after AI generates SQL?
Paste the AI-generated SQL into the Restore section. The tool applies the saved mapping and replaces every T_001, C_001 placeholder with the original table or column name.
10Does it support stored procedures?
The masker works at the SQL text level and can mask table and column references inside stored procedure bodies. Test on a small procedure first to verify output before masking production code.
11Is my schema data sent to any server?
No. All processing happens in your browser. Your SQL, schema, and mapping never leave your device. You can verify by checking network requests in browser DevTools — no outbound requests are made.
12Why does my company not allow me to paste database schemas into ChatGPT?
Your database schema reveals your proprietary data model, business domain, naming conventions, and data relationships. Pasting raw SQL into ChatGPT exposes all of this to OpenAI servers. The AI Schema Masker replaces real identifiers with anonymous placeholders so you can get AI help without your company's schema leaving your device.
13Can I mask multiple schemas at once?
Yes. Paste SQL referencing tables from multiple schemas. The masker maintains a consistent mapping across all tables, so cross-schema JOINs are masked consistently and can be restored from the same mapping file.
Learn more

Developer Guides

📖AI Privacy in JSON APIs📖Masking PII in Production📖Safe AI Prompt Engineering📖JSON Schema for AI Tools

Last updated: May 2026

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