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NewBotLabor PDF Text Extractor
x402
NewBotLabor PDF Text Extractor is a paid API for AI agents from newbotlabor--254ecdfcc2de11f19b541607ee4eb77e.web.val.run, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-22).
Extracts text content and metadata from a PDF document supplied as a URL or base64-encoded bytes, returning per-page text and document metadata.
Price / call$0.005
Success—
StatusUnknown
How this service works
Pay-per-call utilities for autonomous agents, paid with x402 (USDC on Base; no account, no API key).
Output
Returns a JSON object containing document metadata (title, author), file size in bytes, total character count, page count, a SHA-256 hash of the PDF, an array of per-page text objects (page number, text, character count), a list of empty page numbers, and optionally a joined full-text string if joinPages was requested.
Example use cases
Research paper text extraction
“I need you to pull out all the text from this academic paper PDF at https://arxiv.org/pdf/2301.00001.pdf so I can summarize and analyze its findings — give me the text page by page.”
Invoice data parsing
“Extract the text from this base64-encoded invoice PDF I'm sending you so I can find the line items and total amount — limit it to the first 5 pages.”
Legal document review prep
“Grab all the text from https://contracts.example.com/agreement.pdf and also give me the combined full text as a single block, up to 100 pages, so I can search it for specific clauses.”
Technical details
Endpoint
POSThttps://newbotlabor--254ecdfcc2de11f19b541607ee4eb77e.web.val.run/api/pdf/text?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract raw text from a PDF document on a per-page basis without setting up an account or API key, especially in autonomous agent workflows where pay-per-call microtransactions via x402/USDC are preferred over subscription billing. Ideal for one-off or low-volume PDF parsing tasks where you have either a public URL or raw PDF bytes.
Side effects
- PDF URL is not publicly accessible or returns a non-200 response — extraction fails with an error
- Invalid or malformed base64 input causes a parse error
- PDF is encrypted or password-protected — text cannot be extracted
- maxPages value outside 1-200 range is rejected
- PDF contains only scanned images with no embedded text — returns empty text per page
- Network timeout fetching the remote PDF URL
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | public http(s) URL of a PDF |
| base64 | string | PDF bytes, base64 (instead of url) |
| maxPages | number | 1-200, default 200 |
| joinPages | boolean | also return all pages joined as text |
Output
Schema · Response
{
"type": "json",
"example": {
"meta": {
"title": null,
"author": null
},
"bytes": 13264,
"chars": 15,
"pages": 1,
"sha256": "3df79d34…",
"pageText": [
{
"page": 1,
"text": "Dummy PDF file",
"chars": 15
}
],
"emptyPages": [],
"returnedPages": 1
}
}Tags
x402
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