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How to convert PDF to XML for free?

Nanonets

Introduction XML stands for Extensible Markup Language and is one of the more popular formats in which data is stored and shared between systems and software. XML is a versatile coding language similar to HTML. However, not all applications support PDF and hence the data needs to be extracted into other formats.

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How to extract data from payslips using OCR?

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Net pay : In-hand amount after all deductions Year-to-date (YTD) totals: Total earnings and deductions for the current year Convert payslips OCR can convert payslips into PDF, TXT/Doc, CSV, XLSX, XML, or JSON formats. You can use digital payslips in PDF, JPEG, or PNG formats directly received via email or downloaded from your employee portal.

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Bank Statement Analysis: A Complete Guide

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Customizing bank statement fields   Download/export the data as different file formats (CSV, Excel, Google Sheet, XML). Ensuring data security and compliance Finally, safeguarding data security and ensuring compliance with regulations like GDPR or HIPAA (in healthcare) is crucial.

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How to Use AI in Bank Statement Processing

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This integration should go beyond simple data transfer; aim for intelligent interactions where processed statement data automatically triggers relevant actions in your accounting software, such as updating cash flow forecasts or flagging potential discrepancies for review.

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Top 7 Sensible alternatives for document processing

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page thereafter.

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How to Automate Insurance Claims Processing

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  With automation, insurers can automate repetitive tasks such as manual data entry and document verification, speed up claim processing to increase efficiency and accuracy and minimize errors and fraud. This transformation enhances operational efficiency and results in significant cost savings and improved customer satisfaction.

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Form Automation - OCR for Forms & Automated Forms Processing

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In summary, OCR technology can help businesses overcome the challenges of manual form processing by reducing time, cost, and errors, providing consistent and accurate data, and improving scalability and data security. OCR technology can be used to extract specific data fields such as names, addresses, and dates.