DocumentPro + Lovable
Building a product in Lovable that needs to understand documents — an AP tool, an order portal, a tax workflow? DocumentPro is an API-first extraction engine Lovable can wire into your app: it exposes extraction as MCP tools with explicit field schemas, so generated code binds to real field names for invoices, purchase orders, receipts, and tax forms instead of hallucinating a data model. Document parsing becomes one prompt, not a subsystem you maintain.
TRY IT
Paste this into Lovable
Add a document upload page. When a user uploads a purchase order, extract the customer, order number, and line items using DocumentPro and show them in an editable order form.With the MCP server connected, Lovable calls list_templates and get_schema to get the exact field names, then wires extract_document into your app.
SETUP
Connected in three steps
- 1
Get an API key
Create a free account and copy your API key from the dashboard. The free tier is enough to build and test the full integration.
- 2
Connect the MCP server
Add DocumentPro as an MCP integration in Lovable (or paste your key as a project secret and tell Lovable to call the API directly):
MCP connectionServer URL: https://api.documentpro.ai/mcp Header: x-api-key: <your DocumentPro API key> - 3
Prompt your app
Use the example prompt above, or describe your own document flow. Extraction is asynchronous: your app submits a document, polls for completion, and gets back JSON keyed exactly to the template schema.
UNDER THE HOOD
What your app can call
extract_document
Submit a file by URL or inline content against a template. Returns a job id; results come back as structured JSON.
check_extraction_status
Poll a job until it completes. Terminal states and error details are explicit, so generated code handles failures cleanly.
list_templates
Discover available extraction templates — invoices, purchase orders, receipts, W-2s, 1099s, and your custom layouts.
get_schema
Fetch the exact field definitions for a template so generated code binds to a real data model instead of guessing field names.
Full reference in the API documentation. Building something bigger on Lovable? Talk to us.
Ready to give your platform document intelligence?
Talk to us about your use case.
