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NetIntel PDF Parse
x402
NetIntel PDF Parse is a paid API for AI agents from netintel-production-440c.up.railway.app, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-23).
Parses a PDF from a URL or base64 input into structured Markdown, per-page metadata, and document metadata using text-layer extraction.
Price / call$0.005
Success—
StatusUnknown
How this service works
Network intelligence API — 142 endpoints, all pay-per-call via x402 micropayments (USDC on Base or Solana mainnet). NetIntel is agent fair-trade aligned: transparent per-call pricing in USDC on Base or Solana via x402, no API keys or signup, and automatic no-charge on server errors, upstream failures, and input-validation rejections — failed calls are never billed across NetIntel's network, domain, and data-intelligence endpoints.
Output
Returns a JSON object containing: a markdown string of the parsed text with page separators, an array of per-page metadata (page number, character range, word count, has_text flag), source info (URL, byte size, final URL), document metadata (title, author, creation date, PDF version, has_form), total word and character counts, pages parsed, a list of scanned (image-only) pages, any findings (e.g. scanned_pages_present), and a truncated flag.
Example use cases
Research paper text extraction
“Grab the full text from this academic paper PDF — https://arxiv.org/pdf/2301.00001.pdf — and convert it to markdown so I can read and summarize it.”
Extracting specific contract pages
“I have a contract PDF at https://legal.example.com/contract.pdf — can you extract just pages 3 through 8 and give me the text as markdown?”
Parsing uploaded PDF as base64
“I have a small PDF encoded as base64 — can you parse it and return the full text along with page-by-page word counts and any document metadata like author and title?”
Technical details
Endpoint
POSThttps://netintel-production-440c.up.railway.app/pdf/parse?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract structured text and metadata from a PDF document — especially when dealing with research papers, reports, or contracts accessible via public URL or encodable as base64. Prefer this over generic web scraping for PDF-specific parsing with per-page structure, scanned-page detection, and document metadata. At $0.005 per call with no API key required and no charge on failures, it is well-suited for ad-hoc or agent-driven document processing pipelines.
Side effects
- PDF URL is not publicly accessible or returns a non-200 response — call is not billed
- PDF exceeds 10 MB size limit — rejected, not billed
- base64 payload exceeds ~700 KB — rejected, not billed
- PDF contains only scanned/image pages with no text layer — markdown may be empty, scanned_pages listed in findings
- Both url and file_base64 provided simultaneously — input validation error, not billed
- Invalid page range format — input validation error, not billed
- Upstream fetch timeout or server error — not billed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Public URL of the PDF (up to 10 MB) |
| pages | string | Pages to parse, 1-based, e.g. "1-3,7" (default: the first 50) |
| max_chars | number | Cap on the markdown length (default 100000) |
| file_base64 | string | The PDF as base64 or a data: URL (up to ~700 KB). Send url OR file_base64. |
Output
Schema · Response
{
"type": "json",
"example": {
"pages": [
{
"page": 1,
"char_end": 507,
"has_text": true,
"char_start": 0,
"word_count": 76
},
{
"page": 2,
"char_end": 581,
"has_text": false,
"char_start": 509,
"word_count": 0
},
{
"page": 3,
"char_end": 730,
"has_text": true,
"char_start": 583,
"word_count": 19
}
],
"source": {
"url": "https://netintel.dev/samples/pdf-parse-sample.pdf",
"type": "url",
"bytes": 2236,
"final_url": "https://netintel.dev/samples/pdf-parse-sample.pdf"
},
"findings": [
"scanned_pages_present"
],
"markdown": "<!-- page 1 -->\n\n## Quarterly Network Report\n\nThis sample shows what POST /pdf/parse returns: paragraphs rebuilt from the text layer, ...",
"metadata": {
"title": "Quarterly Network Report (sample)",
"author": "NetIntel",
"created": "2026-10-10T00:00:00Z",
"has_form": false,
"pdf_version": "1.4"
},
"truncated": false,
"char_count": 730,
"page_count": 3,
"word_count": 95,
"pages_parsed": 3,
"scanned_pages": [
2
]
}
}Tags
x402
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