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Basic text detection API (e.g. google) does not return anything for the following image. To try Google's vision API, save the image locally and run:

gcloud ml vision detect-text <local-path-to-image> | grep description

It may return gibberish. The text we want is RAW9405. Are there any existing models for this or does it require training?

enter image description here

Fakeer
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1 Answers1

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What you can do is use craft-text-detector which is available opensource, you will get the bounding box coordinates for every single word and based on y-axis you can form a sentence than use tesseract for recognition.

Sudhanshu
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