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AgentTools PDF to Text Extractor
x402
AgentTools PDF to Text Extractor is a paid API for AI agents from agentstoolshub.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Fetches a PDF by URL (SSRF-guarded) or accepts base64-encoded PDF content and extracts all readable text with page count using deterministic parsing.
Price / call$0.01
Success—
StatusUnknown
How this service works
Fetch a PDF (by URL, SSRF-guarded) or accept it as base64 and extract all readable text with page count. Deterministic parsing — no language model, so nothing is invented. Text-based PDFs only; scanned images need OCR (not included). Use this when an agent needs to extract readable text from any PDF — agents can't read PDFs.
Output
Returns all readable text extracted from the PDF along with the total page count. Output is deterministically parsed — no language model inference, so the text is exactly what appears in the PDF. Works only on text-based PDFs; scanned image PDFs are not supported.
Example use cases
Research paper text extraction
“I need to read the contents of this academic paper but I can't open PDFs directly — can you fetch it from https://arxiv.org/pdf/2301.00001.pdf and pull out all the text so I can analyze it?”
Contract review from base64 PDF
“I have a legal contract encoded as base64 — can you extract all the readable text from it so I can review the clauses? I'll send you the base64 string.”
Invoice data retrieval
“There's an invoice PDF at https://invoices.mycompany.com/inv-2024-0042.pdf — can you grab all the text from it, capped at 5000 characters, so I can pull out the line items and totals?”
Technical details
Endpoint
GEThttps://agentstoolshub.com/api/v1/dev/pdf-to-text?utm_source=zero.xyzWhen to prefer
Use this endpoint whenever an AI agent needs to read the content of a PDF document — either from a public URL or as base64 content — and the PDF contains embedded text (not scanned images). It is deterministic and does not hallucinate content, making it reliable for legal, financial, or research documents. Prefer this over OCR-based or LLM-based solutions when you need exact text reproduction with no inference.
Side effects
- URL points to a non-PDF resource — parsing fails or returns empty text
- PDF is scanned/image-based with no embedded text — returns empty or minimal text (OCR not included)
- URL is blocked by SSRF guard (private/internal IP ranges) — request rejected
- base64 input is malformed or not a valid PDF — parsing error returned
- PDF is encrypted or password-protected — text extraction fails
- maxChars too low — truncates output significantly
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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