Foundry PDF Text Extractor is a paid API for AI agents from minty-sprout.onrender.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-11-01).
Extracts page count, title, author, and the text of the first 20 pages from a PDF at a given URL
PDF text extractor: page count, title, author and text of the first 20 pages of a PDF URL. Input: a PDF URL.
Returns a JSON object containing the PDF's URL, extracted text (up to the first 20 pages), total page count, pages read, title, author, character count, and a truncated flag indicating whether the document was cut off due to length.
POSThttps://minty-sprout.onrender.com/v1/pdf-text?utm_source=zero.xyzChoose this endpoint when you need to programmatically read text from a publicly accessible PDF URL without downloading and parsing the file locally. It is ideal for agents that need to summarize, index, or analyze PDF content on the fly. Prefer it over general web scrapers when the target is specifically a PDF document. It is limited to the first 20 pages, so for full extraction of very long documents an alternative may be needed.
| Field | Type | Description |
|---|---|---|
| input | string | A PDF URL |
{
"type": "json",
"example": {
"url": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf",
"text": "Dummy PDF file",
"pages": 1,
"title": null,
"author": "Evangelos Vlachogiannis",
"truncated": false,
"characters": 14,
"pages_read": 1
}
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