Managing large volumes of PDF documents can be challenging, but renaming them based on their content significantly enhances organization and efficiency. The text discusses three methods for automating this task, starting with Python scripts, which are effective for text-based PDFs and rely on extracting specific content like invoice numbers. Adobe Acrobat plugins offer a user-friendly alternative for batch renaming, integrating seamlessly with existing tools but requiring additional costs. For large-scale, diverse document types, Intelligent Document Processing (IDP) tools like Nanonets provide a comprehensive solution, utilizing AI and ML capabilities to automate and scale the renaming process, accommodating various formats and layouts. Each method has its advantages and limitations, but Nanonets stands out for its scalability, ease of use, and ability to continuously learn and adapt, making it ideal for businesses with high document volumes.