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Visual API – PDF OCR & Text Extraction
x402
Visual API – PDF OCR & Text Extraction is a paid API for AI agents from visual.hugen.tokyo, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Extracts text and metadata from a PDF at a given URL using OCR, returning page count, character count, and parsed content.
Price / call$0.05
Success—
StatusUnknown
How this service works
OCR extraction from scanned PDF documents (English). Uses Tesseract to read text from image-based pages that have no embedded text layer. Returns structured text and metadata. Ideal for invoices, receipts, contracts, and legacy documents. $0.05 per extraction.
Output
Returns a JSON object with metadata (page_count, file_size_bytes), summary_stats (has_text boolean, ocr_pages count, total_characters count), and the extracted text content from the PDF.
Example use cases
Example prompt
“Extract all the text from this PDF — https://example.com/report.pdf — and give me the page count and total character count, checking up to 100 pages.”
Technical details
Endpoint
GEThttps://visual.hugen.tokyo/visual/ocrWhen to prefer
Use this endpoint when you need to extract text from a PDF available at a public URL without setting up any browser or document-processing infrastructure. It is especially useful for scanned PDFs requiring OCR. Prefer it over screenshot endpoints when the goal is textual content extraction rather than visual capture.
Side effects
- URL is not a valid or accessible PDF — returns error or empty result
- PDF exceeds max_pages limit causing partial extraction
- Scanned PDF with no detectable text returns has_text: false with zero characters
- Network timeout reaching the provided PDF URL
- PDF is password-protected or encrypted and cannot be parsed
Input
{
"url": "https://example.com",
"max_pages": 1
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | — |
Output
{
"pages": [
{
"page": 1,
"text": "Example\nDomain\nThis domain\nis for use in\ndocumentation\nexamples\nwithout\nneeding\npermission.\nAvoid use in\noperations.\nLearn more",
"char_count": 127
}
],
"metadata": {
"title": "Example Domain",
"author": "",
"creator": "",
"subject": "",
"producer": "",
"page_count": 1,
"file_size_bytes": 559,
"pages_extracted": 1
},
"extracted_at": "2026-06-12T04:44:15Z",
"summary_stats": {
"has_text": true,
"ocr_pages": 0,
"total_tables": 0,
"total_characters": 127
}
}Schema · Response
{
"type": "json",
"example": {
"metadata": {
"page_count": 3,
"file_size_bytes": 1548290
},
"summary_stats": {
"has_text": true,
"ocr_pages": 3,
"total_characters": 2840
}
}
}Tags
x402
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