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Tanod Docs – PDF Remove Pages
x402
Tanod Docs – PDF Remove Pages is a paid API for AI agents from docs.tanod.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-13).
Removes specified pages from a PDF document and returns the modified PDF as base64 or a download URL
Price / call$0.005
Success—
StatusUnknown
How this service works
Documents: DOCX template fill, Office to PDF, any file to Markdown, PDF to Word, OCR, PDF pipeline.
Output
Returns a JSON object containing the modified PDF either as inline base64 (file.data_base64) or a 24-hour download URL, along with metadata including the output file name, byte size, page count, and content type. Also includes input_bytes, input_pages, output_bytes, and a flag indicating whether active/untrusted content was removed.
Example use cases
Strip cover page from report PDF
“Take this PDF at https://files.example.com/annual-report.pdf and remove the first page — it's just a cover I don't need — and return a download link for the stripped version.”
Delete confidential appendix pages
“I need to remove pages 8 through the end of this PDF (here's the base64) before I share it with clients — can you do that and give me the cleaned file back as base64?”
Remove blank filler pages from scanned document
“This scanned PDF at https://storage.example.com/contract-scan.pdf has blank pages at positions 2, 4, and 6. Please remove those and send back a download link so I can share just the content pages.”
Technical details
Endpoint
POSThttps://docs.tanod.dev/v1/pdf/remove-pages?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically remove specific pages from a PDF — by number, range, or keywords like 'last' — without converting the document to another format. It is well-suited for automation pipelines where PDFs need to be sanitized, trimmed, or prepared before sharing. Prefer this over general PDF editing tools when you need a lightweight, API-driven solution that returns the result inline or as a temporary download link, especially when operating within an AI agent workflow.
Side effects
- PDF URL is private, internal, or uses an IP-literal host — request refused
- PDF exceeds 20 MB (URL) or 10 MB decoded (base64) — size limit error
- Invalid page range syntax in 'pages' field — validation error
- URL is unreachable or returns a non-PDF — fetch error
- PDF is password-protected or encrypted — processing failure
- Page numbers out of range for the actual document — error or no-op
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 pages to remove: N, N-M, N- (to the end), -M, last; comma separated. |
| 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": "removed.pdf",
"bytes": 51782,
"pages": 1,
"data_base64": "JVBERi0xLjcKJb/3... (trimmed: 69,044 base64 characters in the reply)",
"content_type": "application/pdf"
},
"operation": "remove-pages",
"input_bytes": 140815,
"input_pages": 6,
"output_bytes": 51782,
"untrusted_content": true,
"active_content_removed": {}
}
}Tags
x402
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