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Split documents into chunks for RAG
Created by
Matvey
Documents split into overlapping chunks sized for embedding, so the output drops straight into a vector store without a chunking step of your own.
Document Text Extractorlergassy/document-text-extractor
Source
Format
Title
Pages
+8 fieldsTextNumberBooleanListObject
Input
📄 Document URLs:https://raw.githubusercontent.com/lergassy/apify-actor-assets/main/document-text-extractor/sample-report.pdf+1
Split into RAG chunks:true
Chunk size (characters):1200
Chunk overlap (characters):120
Output fields
Source
Format
Title
Pages
Pages read
Words
Tables
Chunks
OCR pages
Status
Error
Markdown
Sign up on Apify01
Create your Apify account to access the Document Text Extractor.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
