Build a structured OCR batch for document indexing

Created by

Automation Lab

Actor

Batch Image Text OCR Extractor

Process multiple document images into ordered paragraph, line and word boxes for layout-aware RAG ingestion, indexing and review.

Try for free

Batch Image Text OCR Extractorautomation-lab/batch-image-text-ocr

Image

Status

Text

+6 fields

Input

Public image URLs

url:https://placehold.co/900x250/png?text=Invoice+1001+Total+49.95+2

OCR language:eng

Include word-level boxes:true

Include line-level boxes:true

Maximum images:3

Output fields

Image

Status

Text

Confidence

Blocks

Language

Source

Error

Processed at

How it works

Sign up on Apify or log in

The Batch Image Text OCR Extractor Actor is ready to run with the inputs already set for "Build a structured OCR batch for document indexing". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a structured OCR batch for document indexing" task

The Batch Image Text OCR Extractor Actor will start running based on the input automatically. You can also change all the input fields, like public image urls, OCR language, and more, to match your specific use case.

Receive the "Build a structured OCR batch for document indexing" 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 #, image, status, 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 "Build a structured OCR batch for document indexing" task via API.