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workbot1.oddsys.org PDF Text Extractor
x402
workbot1.oddsys.org PDF Text Extractor is a paid API for AI agents from workbot1.oddsys.org, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-10).
Extracts clean markdown text from text-layer PDFs without OCR, converting unreadable documents into compact, LLM-friendly tokens.
Price / call$0.002
Success—
StatusUnknown
How this service works
Extract clean markdown text from a PDF (text-layer PDFs; no OCR). Turns a document an agent can't cheaply read into compact tokens.
Output
Returns the full text content of the PDF as clean markdown, preserving document structure where possible. The output is compact and token-efficient, suitable for direct consumption by LLMs.
Example use cases
Extract contract text for review
“I have a PDF contract I need to read through — can you pull out all the text as clean markdown so I can analyze it?”
Parse research paper into readable text
“Convert this academic PDF paper into markdown text so I can summarize it and pull out the key findings.”
Ingest PDF report for downstream analysis
“Extract the full text from this PDF annual report as markdown so I can feed it into my analysis pipeline without it costing a fortune in tokens.”
Technical details
Endpoint
POSThttps://workbot1.oddsys.org/pdf?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a text-layer PDF (not a scanned image PDF) and need to extract its content cheaply and quickly for LLM consumption. Prefer this over OCR endpoints when the PDF was digitally created (not scanned), as it is faster and more accurate. Use the sibling OCR endpoint if the PDF is a scanned document with no embedded text layer.
Side effects
- PDF is scanned/image-only (no text layer) — returns empty or minimal text; use OCR endpoint instead
- Corrupted or password-protected PDF — returns error
- PDF is too large or has too many pages — may timeout or return partial content
- Non-PDF file submitted — returns format error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| pdfBase64 | string | Base64-encoded PDF file (text-layer PDFs; no OCR). |
Tags
x402
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