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Software Engineer

009a9538-2db1-4672-a0f0-321ffca623a4.zip

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This packahe is useful for extracting data from documents with different formats, by using machine learning models present in AI Center, combine with Document Understanding. It will fetch the required values such as invoice number, amount, date etc.The main advantage of this solution is that it works even though there are different document formats.

This solution extracts data from invoices with different formats. It uses a combination of ML models present in AI Center and Document Understanding.

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Visual Basic

545f85cf-d263-44f7-8df2-5866d513cc44.pdf

1d6e00ee-efae-4577-ae15-0f55e0d6db0d.zip

This package is useful for extracting data from documents with different formats, by using Machine Learning Models present in AI Center, combined with Document Understanding.

  

The solution can fetch the required values such as invoice number, amount, date. It can take advantage of existing Machine Learning Models from UiPath AI Center and extract invoice data even when the input file is with different document formats.

  

The component is useful for checking the feasibility of template data extraction from a big set of vendor/supplier invoices using UiPath DU-Invoice ML offering. It can process invoices with maximum 2 pages per invoice and file size of max 4MB with enterprise trail license.

This solution uses a combination of ML models present in AI Center and Document Understanding to extract information from invoices with different formats.

Invoice Data Extraction using ML Extractor