Inquiry Regarding Python Support and Details on Training Models

[yihong1120]

Dear ocrs Contributors,

I hope this message finds you well. I've recently come across your OCR project and am thoroughly impressed with the vision and progress of ocrs. The use of machine learning to enhance OCR capabilities and the commitment to open datasets is commendable.

As a developer with a keen interest in OCR technologies, I have a couple of queries that I hope you might be able to address:

1. Python Support: Given the extensive use of Python in the data science and machine learning communities, I was curious to know if there are any plans to introduce a Python version of ocrs. A Python API could significantly increase the accessibility of ocrs to a broader audience and facilitate integration into existing Python-based workflows. Are there any roadmaps or discussions around this that you could share?

2. Training Models: I am eager to learn more about the neural network models that ocrs utilises. Specifically, which model architectures have been employed for the OCR tasks? Are these models based on any well-known architectures such as CNNs, RNNs, or Transformers? Furthermore, could you provide insights into the datasets used for training these models? Understanding the models' underpinnings would be incredibly beneficial for potential contributors and users looking to gauge the engine's capabilities and limitations.

I appreciate the time and effort that goes into maintaining and developing such an ambitious project. Thank you for considering my queries, and I look forward to any information you can provide.

Best regards, yihong1120