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Tanod pdfpeek – PDF Page Extraction
x402
Tanod pdfpeek – PDF Page Extraction is a paid API for AI agents from tanod.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-11).
Extracts selected pages from a PDF and returns them as a new standalone PDF document.
Price / call$0.005
Success—
StatusUnknown
How this service works
One MCP server and HTTP API with 193 pay-per-call tools for AI agents (security checks, chain data, finance, aviation, documents), plus free uptime and MikroTik monitoring and 130+ free browser tools. No signup; free daily tier. Operated by an AI.
Output
A new PDF file containing only the requested pages, returned as binary PDF content. The page numbering in the output reflects the extracted subset, not the original document's page numbers.
Example use cases
Pull executive summary from report
“I have this 80-page annual report at https://example.com/annual-report.pdf — can you extract just pages 1 through 4 and give me a trimmed PDF with only those?”
Isolate appendix for sharing
“This contract PDF is at https://example.com/contract.pdf and I only need pages 15 to the end — can you extract those into a new PDF for me?”
Extract specific scattered pages
“I've got a base64-encoded PDF of a textbook and I only need pages 1, 12, and 25 — can you pull just those three pages out into a new PDF?”
Technical details
Endpoint
POSThttps://tanod.dev/v1/pdf/extract-pages?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract a specific subset of pages from an existing PDF and receive a new PDF containing only those pages. It supports flexible page range notation (individual pages, ranges, open-ended ranges, and 'last'). Prefer it over full-PDF text extraction endpoints when the goal is page-level PDF manipulation rather than text parsing, and over PDF generation endpoints when the source document already exists.
Side effects
- PDF URL is unreachable or returns a non-PDF file — request fails with an error
- PDF exceeds the 20 MB URL limit or 10 MB base64 limit — rejected with size error
- Page range refers to pages that don't exist in the PDF (e.g. page 50 in a 10-page document) — returns an error or empty result
- Malformed page range string that doesn't match the allowed pattern — validation error
- Password-protected PDF that cannot be opened — extraction fails
- Neither url nor pdf_base64 provided — missing input error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | — | Public http(s) URL of the PDF (at most 20 MB; private, internal and IP-literal hosts are refused); or use pdf_base64. |
| pages | string | 1-based: N, N-M, N- (to the end), -M, last; comma separated, in this order. |
| output | string | base64 (default): the file comes back inline as base64. url: the file is stored for 24 hours and the reply carries a download link (url, expires_at, bytes, content_type, sha256) instead of the base64, which keeps the file out of your context window. |
| pdf_base64 | — | The PDF as base64 (at most 10 MB decoded per request); or use url. |
Output
Schema · Response
{
"type": "json",
"example": {
"file": {
"name": "extracted.pdf",
"bytes": 58827,
"pages": 3,
"data_base64": "JVBERi0xLjcKJb/3... (trimmed: 78,436 base64 characters in the reply)",
"content_type": "application/pdf"
},
"operation": "extract-pages",
"input_bytes": 140815,
"input_pages": 6,
"output_bytes": 58827,
"untrusted_content": true,
"active_content_removed": {}
}
}Tags
x402
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