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Extract PDF text as Markdown for a RAG index

Turn long PDF reports into Markdown with headings and paragraphs a chunker can split on, plus plain text, with a status that says which files to hold back.

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PDF Text Extractor: OCR, Markdown, Page Checks
PDF Text Extractor: OCR, Markdown, Page Checkspradio/pdf-text-verifier
URL
File Name
Status
Recommended Action
+8 fields
Text
Number
Boolean
List
Object

Input

PDF links:https://ntrs.nasa.gov/api/citations/20160001713/downloads/20160001713.pdf
Output format:both
Maximum pages per document:300

Output fields

URL
File Name
Status
Recommended Action
Page Count
Word Count
PDF Type
Pages Extracted
Document Title
Created At
Modified At
File Size (bytes)

How it works

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The PDF Text Extractor: OCR, Markdown, Page Checks Actor is ready to run with the inputs already set for "Extract PDF text as Markdown for a RAG index". 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 a RAG index" task

The PDF Text Extractor: OCR, Markdown, Page Checks Actor will start running based on the input automatically. You can also change all the input fields, like PDF links, output format, and more, to match your specific use case.

Receive the "Extract PDF text as Markdown for a RAG index" 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 URL, file name, status, 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 a RAG index" task via API.

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