Compare AWS Textract queries feature with DocQuery python library
- AWS Textract Queries
Each query contains the question you want to ask in the Text and the alias you want to associate.
When user provided a query, Amazon Textract provides a specialized response object. It then provides the confidence Amazon Textract has with the answer and a location of the answer on the page, and the text answer to the question posed. If no answer is found, this response element is left blank. Detected queries are returned as Block objects in the responses from AnalyzeDocument and GetDocumentAnalysis.
2 . DocQuery
DocQuery is a library and command-line tool that makes it easy to analyze semi-structured and unstructured documents (PDFs, scanned images, etc.) using large language models (LLMs). You simply point DocQuery at one or more documents and specify a question you want to ask.
DocQuery scan allows you to ask one or more questions to a single document or directory of files. DocQuery can also be used as a library. It contains two basic abstractions: (1) a DocumentQuestionAnswering pipeline that makes it simple to ask questions of documents and (2) a Document abstraction that can parse various types of documents to feed into the pipeline.
As per my view AWS Textract Queries feature have more accuracy as compare to DocQuery in extracting data from document using query. But DocQuery is python library and that is free to use and AWS Textract is on of the best document data extraction services which provide buy AWS.
If you Want to try code of both check out below links :
DocQuery : https://github.com/amogh9594/docquery
AWS Textract Queries : https://aws.amazon.com/blogs/machine-learning/specify-and-extract-information-from-documents-using-the-new-queries-feature-in-amazon-textract/
