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

Example prompt
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. 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. 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 connection
    Server URL: https://api.documentpro.ai/mcp
    Header:     x-api-key: <your DocumentPro API key>
  3. 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.