No configuration. No schema definition. No rules to write. Upload any document and AI delivers a complete, queryable SQL schema with structured data -- instantly.
// Auto-generated SQL schema
CREATE TABLE invoices (
invoice_number TEXT,
vendor TEXT,
total DECIMAL,
currency TEXT,
due_date DATE,
line_items JSONB
);
-- 5 types detected
-- 252 documents extracted
-- 0 configuration neededHow it works
Most data extraction tools need hours of setup -- templates, schemas, mapping rules. docs2db needs nothing. The AI figures it out.
Drop PDFs, images, spreadsheets -- any document. Drag a folder of 500 invoices. Connect Google Drive. POST to the API. However you want.
Classification, schema generation, field extraction, type inference, data validation. No templates, no regex, no config. AI handles the entire pipeline end-to-end.
Instantly get a normalized database with auto-generated tables, typed columns, and clean data. Export as SQL, CSV, or JSON. Access via REST API.
Zero-config by default
Upload a single invoice and you instantly get an invoices table with typed columns for vendor, amount, date, line items, and more. Upload a contract next -- AI creates a contracts table with parties, effective dates, and terms. No setup required at any point.
$ curl -F "file=@invoice.pdf" \
https://api.docs2db.dev/v1/upload
> Classified as: Invoice (97%)
> Schema generated: 9 fields
> Data extracted in 1.2s
{
"vendor": "Stripe Inc.",
"invoice_number": "INV-2026-0847",
"total": 4200.00,
"currency": "USD",
"due_date": "2026-03-01",
"line_items": [
{ "desc": "Platform fee",
"qty": 1, "amount": 4200 }
]
}AI-core platform
Every step of the pipeline is powered by AI. Classification, schema generation, data extraction, insights -- there's no manual fallback because there doesn't need to be one.
Automatically detects document types from a library of 50+ categories. Learns from corrections. Creates new types on the fly when it encounters something new.
AI creates typed schemas with nested objects, arrays, and relations. No manual definition required.
Sub-3-second document processing. Upload 1 or 10,000 -- the pipeline scales automatically.
Full REST API with typed SDKs. Upload, query, and export programmatically. Integrate into any workflow in minutes.
Works out of the box, but you can refine. Edit schemas, adjust labels, define nested types. The AI adapts to your changes.
Ask questions about your data in natural language. AI queries your extracted data and builds live dashboards with charts and calculations.
Organize documents into datasets. Invite your team. Role-based access. Shared schemas across the organization.
Use cases
Turn document chaos into structured data across teams and systems. One pipeline, any document type.
Invoices, receipts, and POs become structured data for reconciliation, reporting, and ERP feeds. No manual data entry.
Contracts, NDAs, and amendments turn into a searchable repository with key terms, parties, and dates extracted automatically.
Invoices, POs, and quotes feed vendor and spend analytics. Get structured tables and exports without manual data entry.
Mixed document types become audit-ready structured evidence. Full traceability from source document to extracted record.
Employment docs, IDs, and certificates become structured employee data for systems of record and reporting.
Pricing
1 credit = 1 page equivalent (one page of a PDF, one image, or ~4,000 characters of text). Free tier includes 2,000 credits every month.
Start extracting structured data in seconds. No credit card required.
Pay per page. Scale up or down as needed.
Volume pricing for organizations with compliance and scale requirements.
Upload your first document and have structured data in under 3 seconds. No setup, no config, no training.
2,000 free credits/month. No credit card required.
See our Roadmap for 2026.