Arabic Pipeline – Batch Document Extraction

x402

Arabic Pipeline – Batch Document Extraction is a paid API for AI agents from arabic-pipeline.arabic-pipeline.workers.dev, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-31).

Extracts structured data (merchant, date, items, totals, tax number, currency) from up to 5 Arabic document images or PDFs in a single batch call using Gemini vision.

Price / call$0.1

Seller volume →—

Success—

StatusUnknown

How this service works

Nine micro-capabilities for Arabic-language work, sold per call over x402 in USDC on Base. No API key, no account, no subscription for the buyer: the first request returns a 402 payment challenge, the client pays it and retries. Text utilities are pure computation and cost nothing to serve.

Output

A JSON object containing a results array (one entry per document), each with ok status, extracted fields (merchant, date, items with name/price/quantity, total, currency, tax_number, document_type, confidence score, raw_text), or an error message if extraction failed. Also includes aggregate counts of succeeded/failed documents and cost_usd.

Example use cases

Digitize Arabic expense receipts

“I have 4 Arabic store receipts from my business trip in Riyadh — can you extract the merchant name, date, total amount, and currency from each one into structured data?”

Parse Arabic tax invoices for accounting

“Extract the tax number, total, line items, and merchant info from these Arabic PDF invoices so I can import them into my accounting system.”

Batch OCR Arabic purchase documents

“I've got 5 Arabic document images from our supplier — extract the date, items purchased, prices, and totals from all of them in one go.”

Technical details

Endpoint

POSThttps://arabic-pipeline.arabic-pipeline.workers.dev/doc/extract/batch?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to extract structured fields from Arabic-language document images or PDFs (receipts, invoices, purchase orders) in batch — especially when no API key or subscription is desired and pay-per-call via USDC is acceptable. Prefer over generic OCR when Arabic text and structured Arabic business document fields (merchant, SAR/currency totals, tax numbers) are the target.

Side effects

Image could not be read by Gemini (400 status, unreadable or corrupt image)
Base64 decoding failure if document_base64 is malformed
Batch size exceeded if more than 5 documents are submitted
Unsupported MIME type causing model rejection
Low confidence extraction on handwritten or low-quality scans
Payment challenge (402) on first call before x402 payment is completed
Partial batch failure — some documents succeed while others return ok:false

Input

Schema · Request body

Field	Type	Description
documents	array
mime_type	string	Default mime type for documents that omit their own.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "count": 2,
    "model": "gemini-3.6-flash",
    "failed": 1,
    "results": [
      {
        "id": "receipt-1",
        "ok": true,
        "index": 0,
        "document": {
          "date": "2026-10-22",
          "items": [
            {
              "name": "منتج",
              "price": 12.5,
              "quantity": 1
            }
          ],
          "notes": null,
          "total": 12.5,
          "currency": "SAR",
          "merchant": "اسم المتجر",
          "raw_text": null,
          "confidence": 0.9,
          "tax_number": null,
          "document_type": "receipt"
        }
      },
      {
        "id": "receipt-2",
        "ok": false,
        "error": "Gemini ... failed (400): image could not be read",
        "index": 1,
        "status": 400
      }
    ],
    "cost_usd": 0.1,
    "endpoint": "POST /doc/extract/batch",
    "succeeded": 1
  }
}

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