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OCR with word positions (bounding boxes)

Get every recognized word with its position on the page and its confidence, for highlighting, redaction checks or layout analysis. The example uses a public-domain scanned memo.

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Image & PDF OCR β€” Image to Text and Scanned PDF to Text
Image & PDF OCR β€” Image to Text and Scanned PDF to Textkeyman98/image-pdf-ocr
URL
Type
Page
Pages
+4 fields
Text
Number
Boolean
List
Object

Input

Image/PDF URLs(required):https://upload.wikimedia.org/wikipedia/commons/d/d6/National_Security_Action_Memorandum_No._6_Plan_of_Reorganization_of_the_Foreign_Aid_Program_-_NARA_-_193406.jpg
Include word boxes:true

Output fields

URL
Type
Page
Pages
Text
Confidence
Words
Error

How it works

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The Image & PDF OCR β€” Image to Text and Scanned PDF to Text Actor is ready to run with the inputs already set for "OCR with word positions (bounding boxes)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "OCR with word positions (bounding boxes)" task

The Image & PDF OCR β€” Image to Text and Scanned PDF to Text Actor will start running based on the input automatically. You can also change all the input fields, like image/pdf urls and include word boxes, to match your specific use case.

Receive the "OCR with word positions (bounding boxes)" 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 URL, type, page, 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 with word positions (bounding boxes)" task via API.

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