GEDX402 Document-to-JSON Converter

x402

GEDX402 Document-to-JSON Converter is a paid API for AI agents from jobs.gedx402.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-29).

Converts a document (via URL or base64-encoded content) into structured JSON using the Docling schema

Price / call$0.02

Seller volume →—

Success—

StatusUnknown

How this service works

Async browser jobs, site crawl, rendered page markdown, screenshot, and PDF, document-to-JSON, document-to-Markdown, one-recipient email, and sandboxed JavaScript.

Output

Returns a JSON object containing the total page count, the full DoclingDocument structured object (conforming to the Docling schema with sections, text blocks, tables, and metadata), and the conversion time in milliseconds.

Example use cases

Invoice data extraction pipeline

“I have a batch of invoice PDFs I need to process — can you convert this one at https://storage.example.com/invoices/invoice_001.pdf into structured JSON so I can pull out line items and totals programmatically?”

Research paper parsing

“Take this base64-encoded academic paper (filename: paper.pdf) and convert it to JSON so I can extract the sections, figures, and references automatically.”

Contract document structuring

“I need to turn this contract document at https://docs.example.com/contract.docx into a structured Docling JSON format so my downstream system can analyze its clauses.”

Technical details

Endpoint

GEThttps://jobs.gedx402.com/v1/convert/json?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to convert a document (PDF, Word, etc.) into a structured Docling-schema JSON representation — particularly when you need machine-readable document structure with page counts and hierarchical content. Prefer over generic OCR or text extraction when you need full document schema fidelity via the Docling format.

Side effects

Invalid or inaccessible URL returns an error
Unsupported document format may fail conversion
Malformed base64 data causes parsing failure
Document too large may time out or exceed limits
Missing both url and data_base64 leaves endpoint without input

Input

Schema · Request body

Field	Type	Description
url	string
filename	string
data_base64	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "pages": 8,
    "document": {
      "schema_name": "DoclingDocument"
    },
    "convert_ms": 1000
  }
}

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