Pocket Network OCR & Document Parsing

x402

Pocket Network OCR & Document Parsing is a paid API for AI agents from agent.pocket.network, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-02).

Extracts text and layout metadata from images or PDFs (or passes through raw text) and returns structured JSON with OCR results and metrics.

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

OCR and document parsing: turn an image or PDF into extracted text with layout hints. POST /v1/ocr with a document (or raw text) in the body and get the extracted text and metrics as one JSON object. Deterministic on clean inputs at a fixed engine version. Pay per request in USDC; no account, no API key.

Output

A JSON object containing the extracted text and layout hints from the submitted document or image, along with a portal metadata block that includes the service ID, provenance (third-party-supplier), and a schema check status.

Example use cases

Digitizing scanned contract PDFs

“I've got a base64-encoded PDF of a signed contract — can you run OCR on it and pull out all the text so I can search through it?”

Receipt text extraction for expense tracking

“I have a photo of a paper receipt encoded in base64 — extract all the text from it so I can log the line items and total into my expense tracker.”

Parsing uploaded form images

“A user uploaded an image of a filled-out paper form — can you OCR it and return the extracted text so I can process their submission?”

Technical details

Endpoint

POSThttps://agent.pocket.network/v1/ocr-document-parsing?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to extract text from scanned documents or images in a pay-per-call, no-account-required manner. It is ideal for agentic workflows that encounter PDFs or images on-demand and need text content without setting up a dedicated OCR account. The fixed per-call USDC price and deterministic engine make it suitable for cost-controlled, reproducible document pipelines.

Side effects

Invalid or malformed base64 input returns an error response
Unsupported file format not recognized by the OCR engine
Low-quality or unreadable images may produce incomplete or inaccurate text extraction
Payment failure (insufficient USDC balance) results in a 402 response before processing
Missing all three input fields (pdf, image, text) results in a validation error

Input

Schema · Request body

Field	Type	Description
pdf	string	Base64-encoded PDF.
text	string	Raw text (bypasses OCR).
image	string	Base64-encoded image.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {},
    "portal": {
      "serviceId": "ocr-document-parsing",
      "provenance": "third-party-supplier",
      "schemaCheck": "passed"
    }
  }
}

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