Pricing

$10.00 / 1,000 pdf extract results

PDF Extract — Text, Tables & Metadata (OCR-ready)

Extract clean text, structured tables, and metadata from any PDF URL. Supports OCR for scanned documents. Ideal for building document pipelines, financial data extraction, invoice processing, and research automation.

Pricing

$10.00 / 1,000 pdf extract results

Rating

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Developer

Techtenstein Services Private Limited

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PDF Extract — Text, Tables & Metadata (OCR-ready)

Extract clean text, structured tables, and metadata from any PDF URL. Supports OCR for scanned documents. Under 500ms for typical PDFs.

Perfect for:

📊 Financial analysts extracting tables from earnings reports
🧾 Accounting teams parsing invoices and receipts
🔬 Researchers pulling text from academic papers at scale
🤖 AI pipelines feeding PDFs into LLMs

Modes

text — full plain text with page count and word count
tables — structured JSON: [{"page": 3, "rows": [[...]]}, ...]
metadata — title, author, pages, creation date, encryption status

Input

PDF URLs — up to 50 per run
Mode — text / tables / metadata
OCR — enable for scanned PDFs
Techtenstein API Key — free tier at https://apis.techtenstein.com

Pricing

Free tier: 3 extractions per Apify run
Pay-per-result: $0.05 per extraction (bring your API key)
Pro: $5/mo for 2,000 extractions at https://apis.techtenstein.com

Also available

🧠 MCP server: uvx techtenstein-pdf-mcp
🐳 Docker: docker pull sathvickollu/techtenstein-pdf
💾 Gumroad: https://techtenstein.gumroad.com/l/ilxovi

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Cloud-hosted MCP server converting 29+ document formats (PDF, DOCX, PPTX, images, audio) to AI-ready Markdown. Zero Python setup. Perfect for RAG pipelines and AI agents. Pay-per-use: $0.02/conversion. Built on Microsoft's Markitdown (82k+ ⭐).

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Convert PDF and Word (DOCX) documents into clean Markdown, text, or JSON. Smart PDF paragraph reflow, page markers for RAG citations, full DOCX structure (headings, lists, tables), custom auth headers. No browser — parses in seconds. Charged per page processed — no startup fee.