Top 10 Best Data Entry Automation Software of 2026

UiPath is a premier Robotic Process Automation (RPA) platform designed to automate repetitive data entry tasks by deploying intelligent software bots that interact with applications, websites, and documents just like humans. It excels in extracting data from unstructured sources like PDFs, emails, and scans using AI-powered OCR and machine learning, then accurately populating spreadsheets, databases, or CRM systems. With its scalable Orchestrator for bot management and vast library of pre-built activities, UiPath minimizes errors, boosts efficiency, and handles high-volume data workflows seamlessly.

Microsoft Power Automate is a low-code platform for building automated workflows that connect apps, services, and data sources to streamline business processes. For data entry automation, it offers robotic process automation (RPA) via desktop and cloud flows, enabling bots to extract data from emails, forms, PDFs, and websites, then input it into spreadsheets, databases, or CRMs. Its AI Builder enhances accuracy in data recognition and processing, making it ideal for handling repetitive, high-volume data entry tasks across the Microsoft ecosystem and beyond.

Automation Anywhere is a comprehensive Robotic Process Automation (RPA) platform designed to automate repetitive data entry tasks across web, desktop, and legacy applications. It leverages AI-powered bots for data extraction, validation, and input, handling both structured and unstructured data sources like PDFs and emails. The platform excels in enterprise-scale deployments, integrating seamlessly with ERP, CRM, and other systems to streamline workflows in finance, HR, and operations.

Blue Prism is a robust Robotic Process Automation (RPA) platform specializing in automating repetitive tasks like data entry by deploying digital workers that mimic human interactions with desktop and web applications. It excels in handling structured and unstructured data across legacy systems without needing APIs, enabling seamless data migration, validation, and entry into multiple platforms. Designed for enterprise-scale deployments, it supports process orchestration, AI integration, and compliance-heavy environments. As a leader in RPA, it's particularly effective for high-volume data entry automation in regulated industries.

Zapier is a no-code automation platform that connects over 7,000 apps to create automated workflows called Zaps, enabling seamless data transfer and entry across services without programming. It excels in automating repetitive data entry tasks, such as populating spreadsheets from web forms, syncing CRM data, or pushing notifications to databases based on triggers. With multi-step Zaps, filters, and formatters, it handles complex data routing efficiently, though it's more general-purpose than specialized data entry tools.

Make (make.com), formerly Integromat, is a no-code automation platform that enables users to build visual workflows connecting over 1,500 apps and services. For data entry automation, it automates extracting, transforming, and loading data between sources like emails, forms, APIs, and destinations such as spreadsheets, CRMs, or databases. Its scenario-based approach handles multi-step processes with iterators, routers, and aggregators for precise data manipulation.

Nanonets is an AI-powered document automation platform that uses OCR and machine learning to extract data from unstructured documents like invoices, receipts, and forms, eliminating manual data entry. It allows users to train custom models without coding to achieve high accuracy on specific document types. The platform integrates with tools like Zapier, QuickBooks, and Google Sheets for seamless workflow automation.

Rossum (rossum.ai) is an AI-powered intelligent document processing platform designed to automate data extraction from unstructured documents like invoices, receipts, purchase orders, and forms. It leverages advanced machine learning and foundation models for contextual understanding, achieving high accuracy across varied layouts, languages, and formats without relying on rigid templates. The solution integrates with ERPs, CRMs, and workflows to streamline data entry, validation, and export processes.

ABBYY FlexiCapture is an enterprise-grade intelligent document processing (IDP) solution that automates data extraction from structured, semi-structured, and unstructured documents using advanced OCR, AI, and machine learning. It excels in capturing data from forms, invoices, passports, and contracts, with capabilities for classification, validation, and export to business systems. The platform supports high-volume processing and integrates seamlessly with RPA tools and ERPs, making it suitable for complex data entry automation workflows.

Kofax RPA is a robust robotic process automation platform that automates data entry by capturing information from documents, emails, web pages, and legacy systems using AI-driven extraction and bots. It processes unstructured data with optical character recognition (OCR) and machine learning to accurately extract and validate information before entering it into target applications. Designed for enterprise-scale deployments, it supports complex workflows beyond basic data entry, including orchestration and analytics for ongoing optimization.