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Document Extraction Hub – OCR
x402
Document Extraction Hub – OCR is a paid API for AI agents from doc.halowerk.com, paid per call via x402, $0.006/call, status unknown (last checked 2026-09-15).
Extracts full text, typed layout blocks with bounding boxes, tables as matrix and markdown, and decoded QR/barcodes from images, scans, screenshots, or PDFs.
Price / call$0.006
Success—
StatusUnknown
How this service works
Read a picture, a scan or a screenshot: full text in reading order, typed blocks with their box on the page, tables as a matrix plus markdown, and every QR code and barcode with its decoded content.
Output
Returns full text in reading order, layout blocks each with their bounding box on the page, tables as both a matrix and in markdown format, and every QR code and barcode with its decoded string content — scoped to whichever output types were requested via the 'want' parameter.
Example use cases
Invoice text and table extraction
“I have a scanned invoice at https://example.com/invoice.jpg — it's a JPEG. Can you pull out all the text and any tables from it? It might have both English and German text.”
QR and barcode reading from product photo
“There's a product label image at https://example.com/product-label.png. Please decode any QR codes or barcodes on it and give me their content.”
PDF document text and layout parsing
“I've got a multi-page PDF at https://example.com/report.pdf and I need the full text in reading order plus any tables from pages 1 through 5 — the document is in English.”
Technical details
Endpoint
POSThttps://doc.halowerk.com/ocrWhen to prefer
Choose this endpoint when you need to extract structured content — text, tables, layout, or barcodes — from images or PDFs in a single call. It is especially useful when multiple output types (text + tables + barcodes) are needed simultaneously from a single document. Prefer it over generic OCR when bounding-box layout information or decoded barcode content is required alongside text. Supports both URL-based and base64 inputs.
Side effects
- MIME type mismatch between declared mime and actual file bytes — request refused
- URL is not publicly accessible or returns a non-200 status — fetch failure
- PDF page range exceeds 50 pages per call — rejected
- Both url and image_base64 supplied simultaneously — rejected
- Neither url nor image_base64 supplied — rejected
- Language not in installed models (only deu and eng supported) — unsupported language error
- Payment not provided or invalid x402 payment — payment failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Public http or https URL of the picture or PDF. Use this or "image_base64", not both. |
| mime | string | Media type of the input. Checked against the actual bytes; a mismatch is refused rather than worked around. |
| want | array | Which parts of the answer to compute. The price does not change with it; asking for less is simply faster. |
| pages | — | Optional page range for PDF input, for example "1-5" or "2,4,7". At most 50 pages per call. Not allowed for a single image. |
| languages | array | Languages to read, default deu plus eng. Installed models: deu, eng. |
| image_base64 | string | The picture or PDF as base64. Use this or "url", not both. |
Tags
x402
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