Split a research PDF into RAG-ready text chunks

Created by

Scrapewise Data

Actor

PDF Text Extractor - Tables, Markdown, RAG Chunks & OCR

Download a research paper PDF and split its text into 1,000 character chunks with overlap and page numbers, ready for embeddings and a RAG pipeline. Works with any public PDF link.

Try for free

PDF Text Extractor - Tables, Markdown, RAG Chunks & OCRscrapewise/pdf-text-extractor

PDF

Title

Chunk

Section

+5 fields

Input

PDF links:https://arxiv.org/pdf/2005.11401

One row per:chunks

Chunk size (characters):1000

Chunk overlap (characters):150

Output fields

PDF

Title

Chunk

Section

From page

To page

Tokens (est.)

Text

Error

How it works

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The PDF Text Extractor - Tables, Markdown, RAG Chunks & OCR Actor is ready to run with the inputs already set for "Split a research PDF into RAG-ready text chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Split a research PDF into RAG-ready text chunks" task

The PDF Text Extractor - Tables, Markdown, RAG Chunks & OCR Actor will start running based on the input automatically. You can also change all the input fields, like PDF links, one row per, and more, to match your specific use case.

Receive the "Split a research PDF into RAG-ready text chunks" 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, title, chunk, 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 "Split a research PDF into RAG-ready text chunks" task via API.