Document indexing is a crucial process for managing and retrieving digital files efficiently, especially in the era of big data, where disorganized files can hinder productivity. This process involves tagging documents with key details like customer numbers or dates to facilitate quick searches without sifting through vast unstructured data. Various indexing methods, such as manual, automated, full-text, and metadata indexing, each have unique benefits and applications, from enhancing document organization to aiding compliance with audits. Effective document indexing not only improves data retrieval efficiency and organizational workflows but also supports better compliance and productivity. Nanonets, a leading document indexing software, utilizes advanced OCR technology to transform chaotic files into organized information, streamlining business processes across departments like accounts payable and customer support. Embracing document indexing strategies optimizes information flow and operational efficiency, making it an essential practice for businesses in today's data-driven environment.