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Arabic Pipeline – Document Text Extraction
x402
Arabic Pipeline – Document Text Extraction is a paid API for AI agents from arabic-pipeline.arabic-pipeline.workers.dev, paid per call via x402, $0.03/call, status unknown (last checked 2026-11-02).
Extracts text content from Arabic-language documents (images or PDFs) by accepting a base64-encoded file and returning the extracted Arabic text.
Price / call$0.03
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
Returns a JSON object containing the extracted Arabic text content parsed from the submitted document. The exact fields in the response object are not strictly defined but typically include the recognized text from the input image or PDF.
Example use cases
Digitizing Arabic archival scans
“I have a scanned image of an old Arabic newspaper page encoded in base64 (image/jpeg) — can you extract all the text from it so I can search and index it?”
Processing Arabic PDF contracts
“Pull out all the Arabic text from this base64-encoded PDF contract (application/pdf) so I can run further analysis on it.”
OCR from Arabic photo capture
“I took a photo of a handwritten Arabic form and have it as a base64 PNG (image/png) — please extract the text so I can process the fields.”
Technical details
Endpoint
POSThttps://arabic-pipeline.arabic-pipeline.workers.dev/doc/extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract Arabic text from scanned images or PDF files and want a pay-per-call model with no API key or subscription setup. It is ideal for infrequent or ad-hoc Arabic OCR tasks where a lightweight x402 micropayment flow is acceptable. Prefer this over general-purpose OCR services when your content is specifically Arabic and you want a purpose-built Arabic NLP pipeline.
Side effects
- Invalid or malformed base64 string causes extraction failure
- Unsupported MIME type results in an error response
- Low-quality or very blurry images may yield incomplete or garbled text
- Payment challenge (HTTP 402) returned on first call before USDC payment is completed
- Very large documents may time out or exceed processing limits
- Non-Arabic or mixed-language documents may have reduced accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| mime_type | string | |
| document_base64 | string | Base64-encoded document image or PDF. |
Output
Schema · Response
{
"type": "json",
"example": {
"cost_usd": 0.03,
"document": {
"date": "2026-10-22",
"items": [
{
"name": "منتج",
"price": 12.5,
"quantity": 1
}
],
"notes": null,
"total": 12.5,
"currency": "USD",
"merchant": "اسم المتجر",
"raw_text": null,
"confidence": 0.9,
"tax_number": null,
"document_type": "receipt"
},
"endpoint": "POST /doc/extract"
}
}Tags
x402
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