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PDF Metadata Extractor
x402
PDF Metadata Extractor is a paid API for AI agents from api.x402node.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Extracts PDF document metadata (title, author, subject, creator, producer, dates, page count, version) without parsing body content
Price / call$0.005
Success—
StatusUnknown
How this service works
pdf metadata, pdf info, pdf properties, pdf author, pdf title, pdf creation date, pdf page count, pdf version, pdf creator, pdf producer, pdf document info. Extract PDF metadata only, no body parsing, fast and cheap. Returns title, author, subject, creator, producer, creation and modification dates, page count, PDF version. For AI agents indexing PDF catalogs, file validation, document organization workflows. Accepts payment on Base or Solana — either network works.
Output
Returns a JSON object containing: title, author, subject, creator, producer, creation date, modification date, page count, and PDF version number — all extracted from the PDF header without parsing body content.
Example use cases
Validate and organize uploaded document libraries
“Check the metadata on all these PDFs we just uploaded — I need to verify the authors match our records, see which ones were created recently, and organize them by page count for our filing system.”
Build searchable index for compliance archive
“Extract the title, creator, and creation date from each PDF in our compliance folder so we can build a searchable database without having to parse through all the document content.”
Audit PDF file integrity before processing
“Can you quickly pull the metadata from these vendor documents to check the PDF version, creation date, and whether they were modified — I need to make sure they're legitimate before we process them further.”
Technical details
Endpoint
GEThttps://api.x402node.dev/pdf/metaWhen to prefer
Choose this endpoint when you need fast, cheap PDF metadata extraction without full document parsing — ideal for cataloging large numbers of PDFs, validating file integrity, organizing document libraries, or building search indexes. Prefer over full-text extraction endpoints when only document properties (not content) are needed.
Side effects
- Invalid or malformed PDF returns an error indicating the file cannot be parsed
- URL not reachable or file not found returns a 404 or connectivity error
- Non-PDF file submitted returns a format error
- PDF with no embedded metadata returns empty/null fields for metadata properties
- Oversized file may time out or be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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