Documentation
Everything you need to know about SchemaSense AI. Comprehensive guides, API documentation, and FAQs.
Getting Started
Learn how to connect your database and generate your first data dictionary.
- ✓Create an account
- ✓Add your database connection
- ✓Configure schema extraction
- ✓Generate AI documentation
Supported Databases
SchemaSense AI works with multiple database platforms.
- ✓PostgreSQL (MVP - Fully Supported)
- ✓Snowflake (Planned)
- ✓SQL Server (Planned)
- ✓More coming soon
Security & Privacy
Your data security is our top priority.
- ✓Read-only database access only
- ✓No raw data is stored or exposed
- ✓AI processes only schema metadata
- ✓Secure backend architecture
Exports & Integrations
Export your documentation in multiple formats.
- ✓Markdown for documentation systems
- ✓JSON for programmatic access
- ✓Compatible with Confluence, Notion, GitHub
- ✓Custom export templates
Quick Reference
API Endpoints
Authentication
Use your API key in the Authorization header:
Get your API key from your account settings.
* Common Error Codes
Frequently Asked Questions
Does SchemaSense AI access my raw data?
No. We only analyze schema metadata and aggregated quality metrics. Raw data is never exposed or transmitted to our servers.
Is SchemaSense AI production-ready?
Yes. The architecture is designed for enterprise use with secure backend services and scalable frontend deployment. We are SOC 2 compliant.
What database credentials do I need?
You only need read-only database credentials (username and password). We recommend creating a dedicated read-only database user for security.
Can I use SchemaSense AI with multiple databases?
Yes! Professional and Enterprise plans support multiple database connections. Start with one and add more as needed.
Where are my credentials stored?
Credentials are encrypted at rest using industry-standard encryption and never exposed to frontend systems or AI models.
Still have questions?
Our support team is here to help. Contact us anytime.