PDF Text Extractor for AI Agents
Pricing
$1.50 / 1,000 pdf extractions
PDF Text Extractor for AI Agents
Extract embedded PDF text, pages and metadata. Price: $0.0015 per successful PDF.
Pricing
$1.50 / 1,000 pdf extractions
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Developer
Gavin Coates
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2 hours ago
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Deterministic PDF text extraction for AI agents, RAG pipelines, research workflows, and document automation.
Actor: industrial_platform/pdf-text-intelligence
Price
$0.0015 per successful PDF extraction using the pdf-extraction pay-per-event billing event.
Failed PDFs and image-only PDFs with no extractable text are not billed as successful PDF extractions.
Examples:
- 1 PDF: $0.0015
- 100 PDFs: $0.15
- 1,000 PDFs: $1.50
Output
A successful PDF result can include:
- full retained text
- per-page text
- page count
- title
- author
- subject
- creator / producer
- creation / modification dates
- response size
- final URL
- HTTP status
- latency
Input
{"urls": ["https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"]}
Up to 50 public PDFs can be processed per run.
When to use it
Use this Actor for PDF text extraction, PDF-to-text workflows, RAG ingestion, document indexing, and page-level PDF text needed by downstream agents.
Runtime model and limitations
The Actor uses PDF.js and does not call an LLM. It does not perform OCR, so scanned image-only PDFs without embedded text may return no successful extraction.
PDF downloads are size-bounded and only public HTTP/HTTPS targets are accepted.
MCP
The required MCP/API input is urls.