Hyperhack 2023 - PDF Tabular Data Extractor for grided and non-grided data

PDF Tabular Data Extractor for grided and non-grided data

Use Case Description

This use case highlights the power of UiPath’s process automation platform in enabling seamless tabular data extraction from PDF files. The robust solution efficiently captures structured information, handling grid-based and non-grid-based tables with precision. By automating the extraction process, the UiPath-powered tool significantly reduces manual efforts, saving time and enhancing productivity. Users can effortlessly export the extracted data into CSV or XLSX formats, facilitating easy integration into existing data analysis workflows. With a user-friendly UiPath interface, businesses in finance, healthcare, education, and more can streamline data processing, improve accuracy, and gain valuable insights for data-driven decision-making.


Other information about the use case

Industry categories for this use case: Finance, Information Technology and Services, Banking

Skill level required: Advanced

UiPath Products that were used: UiPath Studio, UiPath Assistant, UiPath Task Capture

Other applications that were used: Python 3

Other resources: -

What is the top ROI driver for this use case?: Accelerate growth and operational efficiency

Hi @Hassan_Sami , thank you for submitting your use case! Can you please let us know if this submission is related to the HyperHack 2023 or is a stand-alone use case? thank you.

Yes @loredana_ifrim It’s for HyperHack 2023.

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