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PDF to Text API for RAG Pipelines

Fetch a PDF URL and get back page-addressable plain text with the document title, as JSON ready for chunking into a RAG pipeline. Only pages with extractable text are returned, so scanned pages never cost anything.

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PDF Text Extractor
PDF Text Extractorrowfeed/pdf-page-text-extractor
URL
Page
Total pages
Characters
+2 fields
Text
Number
Boolean
List
Object

Input

PDF URLs:https://www.irs.gov/pub/irs-pdf/fw9.pdf
Max pages per PDF:6
Include document title:true

Output fields

URL
Page
Total pages
Characters
Title
Text

How it works

Sign up on Apify or log in

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

Start the "PDF to Text API for RAG Pipelines" task

The PDF Text Extractor Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, max pages per pdf, and more, to match your specific use case.

Receive the "PDF to Text API for RAG 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 URL, page, total 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 "PDF to Text API for RAG Pipelines" task via API.

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Integrate "PDF to Text API for RAG Pipelines" into your workflow

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