Optical character recognition software is used to digitize paper documents and convert them into machine-readable formats. With the advancement of AI and machine learning, modern OCR software can automate end-to-end data capture workflows for various business documents. However, choosing the best OCR software for specific use cases can be challenging due to the numerous options available. To help businesses find the perfect fit, this article rounds up leading OCR applications for popular use cases such as handwriting recognition, accounts payable, and document types like invoices and receipts. Document AI enables developers to build precise processors for extracting, categorizing, and splitting documents, automating mundane tasks and enhancing data extraction. Google Document AI is a powerful tool that structures and digitizes information from documents using generative AI, working out of the box without requiring training or customization. IBM Watson Discovery is an advanced platform designed to unlock insights from unstructured data in documents, emails, reports, and websites, providing actionable intelligence through features like content mining and trend analysis. Azure AI Vision is a robust computer vision service leveraging deep learning algorithms to analyze visual content, offering advanced image and video analysis capabilities such as object detection, facial recognition, OCR, and spatial analysis. Transkribus excels at converting historical handwritten documents into digital text with impressive accuracy, supporting various scripts and historical manuscripts. Handwriting OCR software is adept at recognizing cursive, printed, and mixed scripts, supporting diverse applications like digitizing historical manuscripts or streamlining data entry processes. Amazon Textract leverages advanced machine learning to automate end-to-end data capture workflows for invoices, POs, and receipts, extracting textual data with high accuracy. ABBYY FineReader is a powerful OCR software that transforms scanned documents into editable and searchable formats, offering direct editing of recognized text and identifying differences between document versions. Nanonets excels in extracting and interpreting textual data from invoices, POs, and receipts, automating data entry and validation with high accuracy. Rossum is effective for extracting data from diverse invoice formats with high accuracy, solidly integrating with existing financial systems. Veryfi captures, extracts, and processes data from invoices with remarkable accuracy, offering real-time analytics and expense categorizations. Taggun excels at accurately extracting and interpreting data from receipts and invoices, providing high accuracy in recognizing region-specific data points. Ocrolus specializes in automating banking and lending workflows with AI-driven OCR technology, streamlining the extraction of transactional information for financial institutions. Adobe Acrobat DC is a leading PDF management software that offers comprehensive tools for creating, editing, signing, and sharing files, including advanced features like OCR for text recognition. Tesseract OCR is a leading open-source optical character recognition engine renowned for its high accuracy in text extraction, supporting over 100 languages and various output formats. Easy OCR provides high accuracy and speed in recognizing text across various fonts, languages, and document types, offering a straightforward interface ideal for users with varying levels of technical expertise. To choose the best OCR software for specific use cases, businesses should benchmark alternatives against recommended solutions on review platforms like G2 or Capterra, consider data extraction, OCR, and integration features, and test software with real-world documents to ensure accuracy, throughput, and processing time meet their requirements.