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agentsvc.io PDF Text Extraction
x402
agentsvc.io PDF Text Extraction is a paid API for AI agents from agentsvc.io, paid per call via x402, $0.0055/call, status unknown (last checked 2026-10-10).
Extracts full text content and metadata from a base64-encoded PDF file, returning per-page text and document metadata.
Price / call$0.0055
Success—
StatusUnknown
How this service works
86 APIs for AI agents: web scraping and crawling to Markdown, AI summaries, data extraction and cited answers, screenshots and PDF, PDF, OCR and document conversion, news, paper and developer search and more, paid per call with USDC on Base, Solana, Polygon or Arbitrum via x402. No account, no API key, free sample on every service.
Output
Returns a JSON object containing the full concatenated text of the PDF, an array of per-page objects each with page number, text, and character count, document metadata (title, author, creator), total page count, extraction timestamp, and original file size in bytes.
Example use cases
Financial report data extraction
“I have a quarterly financial report PDF — can you extract all the text from it so I can analyze the revenue numbers? It's about 20 pages, please process all of them.”
Legal contract review prep
“Extract the full text from this contract PDF so I can review the clauses — keep it organized by page so I know where each section comes from.”
Academic paper ingestion
“I've got a research paper in PDF format, can you pull out all the text and metadata like the title and author so I can load it into my notes system?”
Technical details
Endpoint
POSThttps://agentsvc.io/api/v1/proxy/pdf-extract?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically extract text and metadata from a PDF without setting up a local PDF parsing library or managing infrastructure. Ideal for agent workflows that receive PDFs as inputs and need their textual content for downstream analysis, summarization, or storage. At $0.004 per call with no API key required, it suits pay-per-use pipelines processing occasional or variable PDF volumes.
Side effects
- PDF exceeds ~10 MB base64 size limit — server rejects or truncates input
- Malformed or corrupted base64 string — parsing error returned
- Scanned image-only PDFs with no embedded text layer — empty or near-empty text output
- Encrypted or password-protected PDFs — extraction fails or returns no content
- max_pages set too low — only partial document text returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| max_pages | integer | Maximum number of pages to extract. Default: 50. Use to limit processing time for large PDFs. |
| pdf_base64 | string | Base64-encoded PDF file content. Decode a PDF file to base64 and pass it here. Max ~10 MB (unencoded). |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"text": "Quarterly Financial Report Q1 2026\n\nExecutive Summary\nTotal revenue increased by 23% year-over-year...",
"pages": [
{
"page": 1,
"text": "Quarterly Financial Report Q1 2026\n\nExecutive Summary",
"char_count": 54
},
{
"page": 2,
"text": "Table of Contents\n1. Revenue Overview\n2. Cost Analysis",
"char_count": 58
}
],
"metadata": {
"title": "Q1 2026 Financial Report",
"author": "Finance Department",
"creator": "Adobe Acrobat"
},
"page_count": 12,
"extracted_at": "2026-04-10T14:00:00.000Z",
"file_size_bytes": 245760
},
"success": true
}
}Tags
x402
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