Overview
Connect through MCP or use the REST API to upload documents, configure extraction, and query saved data.
MCP server
Connect your AI assistant using OAuth to create tables, upload PDFs, query extracted rows, and set up routing and email workflows.
Zapier integration
Use the native integration in testing to send PDFs into a project and map saved extraction fields into downstream apps. The Zapier tutorial walks through an invoice-to-Google-Sheets workflow, verification, and current limits. See availability before setting up native steps.
Browser agents
Use WebMCP browser tools to search documentation, query the public sample database, and open a document workflow. Agents can start with llms.txt for a concise index or llms-full.txt for the complete guides.
REST API base URL
Use the versioned API base URL:
https://api.pdfparse.net/v1Reference Coverage
The OpenAPI reference includes all currently mounted REST handlers under /v1, including:
- Projects
- Tables
- Rows
- Documents
- Jobs
- Extraction Attempts
- Webhooks
- Uploads
Next Steps
- Follow Get Started
- Follow How to Extract Data From a PDF
- Read Authentication
- Follow Tutorial: Create a Project and Table
- Follow How-To: Run an Extraction Job
- Browse every supported operation in the API Reference