Pricing

from $0.50 / 1,000 page processed (text layer)s

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PDF Text Extractor: tables, OCR, Markdown, JSON per page

Try for free

Turn PDF URLs into clean data: per-page text, tables as real rows (CSV/Excel-ready, with page numbers and Markdown), document metadata, and OCR for scanned pages with confidence scores. Chain from any dataset of URLs. Pay per page, no per-file fee.

Pricing

from $0.50 / 1,000 page processed (text layer)s

Rating

0.0

(0)

Developer

Brenton Keller

Actor stats

Bookmarked

Total users

Monthly active users

8 hours ago

Last modified

Configure MCP server with PDF Text Extractor: tables as rows, OCR for scans, Markdown

The configuration above connects to the hosted Apify MCP server with the PDF Text Extractor: tables as rows, OCR for scans, Markdown Actor already loaded. It uses OAuth, so your client opens a browser window to sign you in to Apify on first use. No API token is needed. Clients without OAuth support can authenticate with an Authorization: Bearer header carrying an API token from API & Integrations in Apify Console.

Get a ready-to-use configuration for your MCP client with the PDF Text Extractor: tables as rows, OCR for scans, Markdown Actor preconfigured at https://mcp.apify.com/?tools=fetch-actor-details,brenton8907/pdf-text-table-ocr-extractor.

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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