Automated Documentation

Transform raw schemas into business-ready documentation, executive summaries, and interactive diagrams automatically.

AI Data Dictionary

Input: Raw Schema

CREATE TABLE customers (
  id INT PRIMARY KEY,
  email VARCHAR(255),
  created_at TIMESTAMP
);

Output: Enriched Doc

id (Integer)
Unique identifier for customer records.
Confidence: 99%
email (String)
Customer's primary contact email.
Confidence: 95%PII: Email

Executive Summary Generation

For non-technical stakeholders, we generate a high-level overview of the database's business function.

Database Overview: E-Commerce Production

This database supports the core e-commerce platform, handling Order Processing, Inventory Management, and Customer Profiles.

47
Tables
2.3M
Customers
5
Business Domains

Key Insight: The schema is well-normalized (3NF) but the orders table is growing rapidly (8.7M rows) and may require partitioning soon.

Multi-Format Exports

Interactive HTML

Searchable, responsive website (like this one!) for your internal wiki. Shareable via secure link.

Excel / CSV

Structured spreadsheets for business analysts and bulk manual editing.

JSON / Markdown

Machine-readable formats for developers to commit to Git repos.

PDF Reports

Polished, print-ready documents for compliance audits (SOC 2, ISO).

Confidence Scoring

Score RangeMeaningRecommended Action
90-100%High Confidence. Clear naming & data patterns.Light skim. Usually accurate.
70-89%Medium Confidence. Some ambiguity.Quick verification recommended.
< 70%Low Confidence. Obscure naming (e.g., col_1).Requires human review.