{"componentChunkName":"component---src-templates-blog-post-js","path":"/blog/making-intelligent-document-processing-smarter-part-1/","result":{"data":{"site":{"siteMetadata":{"title":"No Frills News"}},"contentfulNfnPost":{"postTitle":"Making Intelligent Document Processing Smarter: Part 1","slug":"making-intelligent-document-processing-smarter-part-1","createdLocal":"2023-02-11 14:30:53.987431","publishDate":"None","feedName":"Image Recognition","sourceUrl":{"sourceUrl":"https://www.kdnuggets.com/2023/02/making-intelligent-document-processing-smarter-part-1.html"},"postSummary":{"childMarkdownRemark":{"html":"<p>Advances in data science and data engineering have led to the development of Intelligent document processing (IDP) solutions.\nOur aim is to test the APIs with a variety of noises in order to determine the noises the OCR APIs can handle.\nHence it is important to see all the metrics together to get a clear idea of the OCR API’s performance.\nFig 5.2 (c): SmartDocQA - Vertical text: Vision and Textract text output comparison.\nHence we tried various methods to clean the images before feeding to the API and checked whether API performance improved or not.</p>"}}}},"pageContext":{"slug":"making-intelligent-document-processing-smarter-part-1"}}}