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OCR legal document pages with citations

OCR legal document pages with citations. Reusable page-aware JSON example for RAG, search, and agent workflows.

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OCR Citation Chunker
OCR Citation Chunkerskilled_glee/ocr-citation-chunker
Document index
Document title
Page start
Page end
+11 fields
Text
Number
Boolean
List
Object

Input

Single PDF URL:https://raw.githubusercontent.com/EchoEmpireUtility-bot/ocr-benchmark-fixtures/main/ocr-test-scan.pdf
Chunk size:3000
Chunk overlap:300

Output fields

Document index
Document title
Page start
Page end
Chunk index
Page chunk index
Chunk ID
OCR confidence
OCR quality score
OCR quality tier
OCR quality flags
Character count
Estimated tokens
OCR text
Source URL

How it works

Sign up on Apify or log in

The OCR Citation Chunker Actor is ready to run with the inputs already set for "OCR legal document pages with citations". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "OCR legal document pages with citations" task

The OCR Citation Chunker Actor will start running based on the input automatically. You can also change all the input fields, like single pdf url, chunk size, and more, to match your specific use case.

Receive the "OCR legal document pages with citations" 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 document index, document title, page start, 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 "OCR legal document pages with citations" task via API.

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