Toll402 PDF Text Extractor is a paid API for AI agents from toll402.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Downloads a PDF from a public URL and returns its full extracted text, page count, word count, and title.
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Returns a JSON object containing: the original PDF URL, the full extracted text (up to maxChars characters), the total page count, the word count, the document title, a processing time in milliseconds, and a success flag.
GEThttps://toll402.dev/v1/pdfUse this endpoint when you need to programmatically extract raw text from a PDF hosted at a public URL, especially when you also need metadata like page count and word count. Prefer this over generic web scrapers when the target is specifically a PDF file. Ideal for research, legal, and document analysis workflows where LLM-ready plain text is required from a remote PDF.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"url": "...",
"text": "Dummy PDF file",
"pages": 1,
"wordCount": 3
}
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