Turn PDFs into page-tagged text chunks for RAG

Created by

Kobkoon Janngam

Actor

PDF Text Extractor - Page by Page, With OCR for Scans

Text from any PDF, split at paragraphs into chunks small enough for an embedding model, each tagged with the page it came from.

Try for free

PDF Text Extractor - Page by Page, With OCR for Scansappdata-labs/pdf-text-extractor

File

Page

Read by

+3 fields

Input

PDF URLs:https://raw.githubusercontent.com/mozilla/pdf.js/master/web/compressed.tracemonkey-pldi-09.pdf

Pages per PDF:50

OCR scanned pages:true

Languages:eng

Max text per row (bytes):3000

Output fields

File

Page

Read by

Text

Words

PDF

How it works

Sign up on Apify or log in

The PDF Text Extractor - Page by Page, With OCR for Scans Actor is ready to run with the inputs already set for "Turn PDFs into page-tagged text chunks for RAG". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Turn PDFs into page-tagged text chunks for RAG" task

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

Receive the "Turn PDFs into page-tagged text chunks for RAG" 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 file, page, of, 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 "Turn PDFs into page-tagged text chunks for RAG" task via API.