AI Data Security XML 
Nanonets
JANUARY 9, 2024
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.
Nanonets
JUNE 19, 2023
Let's look at the 5 most popular ways in which businesses extract data from PDFs. Check out Nanonets' pre-trained data extraction AI for bank statements , invoices, receipts, passports, driver's licenses & or any tabular data! Giphy Want to capture data from PDF documents or convert PDF to Excel ?
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Nanonets
SEPTEMBER 25, 2024
In this article, we’ll explore applications of AI and automation for bank statement processing. We'll also guide you through setting up an efficient bank statement processing system and share best practices to transform this data flood into a strategic asset. 💡 Best practices: 1.
Nanonets
SEPTEMBER 23, 2024
That's where modern AI-powered tools come in. Now, let’s examine how this is done and explore some advanced AI-powered bank statement analysers (BSA). AI-powered bank statement extraction AI-powered tools are paving the way for financial analysis across all industries.
Nanonets
JULY 29, 2024
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. Data security With a surge in free OCR tools, data security is at a major risk.
Nanonets
SEPTEMBER 25, 2024
Through the following sections, we will dive deeper into what lease abstraction is, the various techniques one can use to automate lease abstraction and the various benefits of using AI-based document processing tools over these techniques. Data security: Privacy issues when using third-party LLMs for sensitive lease abstraction.
Nanonets
AUGUST 16, 2024
This automation process leverages cutting-edge tools such as machine learning (ML), artificial intelligence (AI), and natural language processing (NLP). Automating claims processing also offers substantial benefits, such as additional cost savings, improved customer service, and strengthened data security.
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