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Parse PDF invoices and forms into structured JSON with custom schemas.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "0xPdf MCP" yet — see the docs or source repo.
Use 0xPdf MCP to parse this PDF invoice and output JSON using this schema: invoice number, date, vendor, amount, tax, currency.
Returns structured invoice JSON matching the provided schema.
Parse this PDF form into JSON and extract name, email, phone, and address using my field mapping.
Outputs form data as JSON organized by the field mapping.
Submit this batch of PDFs for asynchronous parsing, then return the JSON result for each file when complete.
Returns asynchronous parsing results for the batch of PDFs.
Finance or operations teams can turn invoice PDFs into structured data for posting, reconciliation, and downstream processing. It fits custom-schema extraction and JSON output.
When teams receive many PDF forms and need names, contact details, and other fields in machine-readable format, this tool can automate the extraction. It supports both synchronous and asynchronous parsing for different workflows.
It wraps the 0xPdf HTTP API to parse PDF invoices and forms into JSON. It supports extracting fields with configurable schemas.
It supports both synchronous and asynchronous parsing. The choice depends on your workflow needs.
Convert PDFs into citeable structured content for parsing, extraction, Q&A, and rendering.
Extract text, images, and tables from PDFs with multilingual analysis.
Generate, parse, split, merge, and manipulate PDF files through an MCP server.
Create PDFs from natural language and get shareable editable preview links.
Lets AI inspect PDF text layers, outlines, and page content locally.
A fast MCP tool for reading, parsing, and processing PDF documents.