英文:
Is Using Two Custom Processors for DocumentAI Efficient?
问题
从多面文件中提取数据的最佳实践是什么？
我需要从身份证的正反两面提取数据。我目前的方法是使用两个单独的自定义训练的处理器，一个用于身份证的正面，另一个用于身份证的背面。
然而，我不确定这是否是处理这种情况最高效或成本效益最好的方法。是否更好地将正反两面的处理合并到单个处理器中，或者将多面文件的每一面都使用单独的处理器是一个良好的实践？
您能分享任何见解、建议或经验吗？
英文:
What are the best practices for extracting data from multi-sided documents?
I need to extract data from both sides of ID Cards. My current approach is to use two separate custom-trained processors, one for the front side and another for the back side of the ID card.
However, I'm unsure if this is the most efficient or cost-effective way of handling this scenario. Would it be better to somehow combine the processing for both sides into a single processor, or is it a good practice to use separate processors for each side of a multi-sided document?
Any insights, recommendations, or experiences you can share?
答案1
得分: 1
你应该能够使用相同的自定义处理器处理身份证的两面，每面都将作为输入文档中的单独页面。
在文档中列出了用于美国驾驶执照和护照的预训练处理器，您可以使用此表格申请访问权限。但如果您使用的是其他国家的身份证，那么您应该创建一个自定义文档提取处理器。
英文:
You should be able to handle both sides of an ID card with the same Custom processor, each side would be a separate page in the input document.
There are pretrained processors for US Driver Licenses and Passports listed in the documentation, you can request access using this form. But if you're using an ID for a different country, then you should create a Custom Document Extractor processor.
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