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Extract PDF text as Markdown for RAG and LLM pipelines

Converts text-based PDFs from URLs into clean Markdown (headings, paragraphs, simple tables) with per-PDF metadata, ready for chunking and embedding. Scanned (image-only) pages are read with OCR in the default auto mode ($0.006 per OCR page). Pay per event: $0.003 per PDF processed.

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PDF to Markdown & Text Extractor
PDF to Markdown & Text Extractorlintlab/pdf-to-markdown
PDF URL
HTTP
Pages
Processed
+2 fields
Text
Number
Boolean
List
Object

Input

PDF URLs(required)
url:https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf

Output fields

PDF URL
HTTP
Pages
Processed
Tables
Error

How it works

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The PDF to Markdown & Text Extractor Actor is ready to run with the inputs already set for "Extract PDF text as Markdown for RAG and LLM pipelines". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract PDF text as Markdown for RAG and LLM pipelines" task

The PDF to Markdown & Text Extractor Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, to match your specific use case.

Receive the "Extract PDF text as Markdown for RAG and LLM pipelines" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as PDF URL, HTTP, pages, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Extract PDF text as Markdown for RAG and LLM pipelines" task via API.

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