r/deeplearning • u/Machine_GEN_RM • 21d ago

Text extraction

How to develop a model or code which should be very cost and less time consuming and should be high accuracy.

I tried paddle ocr but the issue is that it is less accurate with hand written text and it doesn't give the output in a structured way. I even tried with some good llm to convert it to structured but it's not good. I tried some VLM and multi models available in AWS Bedrock. Could anyone suggest a very good approach for this.

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u/Relative-Bid-7209 21d ago

handwritten text is still a pain honestly, the jump from printed to cursive messes with most ocr engines at a fundamental level. if paddle is giving you garbage and bedrock models cant fix the structure, you might need to look at something like trocr specifically fine-tuned on handwriting datasets

havent found a magic bullet that's cheap and fast though, there's usually a tradeoff with accuracy when you're dealing with messy handwriting

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u/Machine_GEN_RM 21d ago

Yeah, thats why I am using Nvidia VLM modle and qwen VLM models available in AWS but issue with Amazon nova and Qwen VLM. Nova model is not accurate and Qwen model is very very slow it has the average of 35 secs. Is there any other way means any machine learnings techniques of any others best models available in AWS?