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Images and scans to text chunks for RAG and vector databases

OCR images and scanned PDFs and split the text into chunks with page numbers, ready for a vector database or an AI agent. PDF pages that already have text are read without OCR at a lower price. Replace the example links with your own files.

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PDF OCR: Scanned PDF & Image to Text, Searchable PDF
PDF OCR: Scanned PDF & Image to Text, Searchable PDFtamatama/image-pdf-ocr
File
Type
Pages
OCR pages
+9 fields
Text
Number
Boolean
List
Object

Input

Image or PDF URLs
url:https://raw.githubusercontent.com/tesseract-ocr/test/main/testing/phototest.tif+1
Output format:chunks
Chunk size (characters):1000
Chunk overlap (characters):100

Output fields

File
Type
Pages
OCR pages
Text-layer pages
Confidence
Characters
Chunk
From page
To page
Searchable PDF
Error
URL

How it works

Sign up on Apify or log in

The PDF OCR: Scanned PDF & Image to Text, Searchable PDF Actor is ready to run with the inputs already set for "Images and scans to text chunks for RAG and vector databases". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Images and scans to text chunks for RAG and vector databases" task

The PDF OCR: Scanned PDF & Image to Text, Searchable PDF Actor will start running based on the input automatically. You can also change all the input fields, like image or pdf urls, output format, and more, to match your specific use case.

Receive the "Images and scans to text chunks for RAG and vector databases" 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, type, 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 "Images and scans to text chunks for RAG and vector databases" task via API.

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