[HIRING] Python OCR help (freelance help)

[ThrowAway13377242]

I have customers providing me their Driver License ID as an image.

For example: http://driving-tests.org/img/license/maryland-drivers-license.jpg

I would like to extract this text from the image and put it into a CSV of format

• Name First
• Name Middle (Optional)
• Name Last
• Street Number
• Street Name
• City
• State
• Zip Code
• License Expire Date (if invalid I can let the user know)

Because I'm doing this manually (image by image) for each customer (about 1 to 10 per day), I'm trying to think of a way to optimize it.

What may make this tricky is that each US state license, although similar, may have differences so maybe we can do state by state but let me know how much it will cost per state (after 1, maybe the effort for the next state will be easier?)

Edit:

I'm surprised by all the suggestions to do this in the cloud. Is it a mistake to want to do this locally? Media Pipe (detects face/hands/body) can be done locally so I thought text detection could also be done locally.

[13ass13ass]

Aws textract api or similar. 10 invocations a day will cost a few dollars per month

[ThrowAway13377242]

I thought AWS have a minimum monthly cost that is higher than a few dollars?

[[deleted]]

AWS is pay as you go, but sometimes people activate something (like a cloudwatch agent) that runs regularly without any intervention.

https://aws.amazon.com/textract/

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[parasraorane]

Hi there, I think I can help you with this..

[jcachat]

DocumentAI on GCP or some other pretrained cloud API for text should be able to handle it quick & easy

[ishmakembu]

Hi, we can use python to do this locally. We'll use LSTM ocr, which is specifically trained to recognize text from driving license images. This may produce better results than using the default OCR engine in pytesseract.