Top 10 Best Automated Data Entry Software of 2026

UiPath is a leading Robotic Process Automation (RPA) platform designed to automate repetitive tasks like data entry by deploying intelligent software bots that interact with applications just like humans. It excels in extracting data from documents, spreadsheets, and web forms using AI-powered tools such as Document Understanding, then accurately populating target systems. With its low-code Studio interface and Orchestrator for deployment and monitoring, UiPath handles high-volume, error-prone data entry workflows efficiently at enterprise scale.

Automation Anywhere is a leading robotic process automation (RPA) platform that excels in automating repetitive data entry tasks across web, desktop, and legacy applications. It uses intelligent bots to extract data from PDFs, emails, images, and spreadsheets, then accurately input it into target systems with minimal errors. The platform incorporates AI and machine learning for cognitive automation, making it ideal for high-volume, complex data entry workflows in enterprise environments.

Microsoft Power Automate is a low-code platform for building automated workflows that connect apps, data, and services, excelling in automating repetitive data entry tasks such as extracting information from emails, PDFs, forms, and websites. It leverages AI Builder for intelligent document processing, form recognition, and data classification, seamlessly inputting extracted data into Excel, SharePoint, Dynamics 365, or databases. With thousands of pre-built connectors, it supports end-to-end automation tailored for Microsoft-centric environments.

ABBYY FlexiCapture is a leading intelligent document processing (IDP) platform that leverages advanced OCR, AI, and machine learning to automate data extraction from structured, semi-structured, and unstructured documents like invoices, forms, and contracts. It captures data with high accuracy, validates it against business rules, and exports it to downstream systems, significantly reducing manual data entry efforts. The solution is highly scalable, supporting high-volume processing in enterprise environments, and continuously improves through self-learning from user corrections.

Kofax is a leading intelligent automation platform specializing in automated data entry through advanced document capture, OCR, AI-powered data extraction, and robotic process automation (RPA). It processes unstructured data from invoices, forms, receipts, and IDs with high accuracy, using machine learning for classification, validation, and integration into business workflows. Ideal for enterprises seeking scalable solutions to eliminate manual data entry and reduce errors.

Blue Prism is a robust robotic process automation (RPA) platform designed for enterprise-scale automation of repetitive tasks like data entry across multiple applications. It deploys digital workers that mimic human interactions with desktops, web apps, and legacy systems, ensuring accurate data transfer from sources like spreadsheets, PDFs, or emails. With strong governance and scalability, it's suited for complex workflows but requires skilled setup.

Rossum (rossum.ai) is an AI-powered intelligent document processing platform designed for automating data entry from unstructured documents like invoices, receipts, and forms. It leverages advanced OCR, machine learning, and cognitive capture to extract data accurately without predefined templates, allowing the system to learn and improve from user validations. The platform integrates seamlessly with enterprise workflows, making it suitable for high-volume automation in accounts payable and beyond.

Nanonets is an AI-powered platform specializing in automated data entry through intelligent document processing, using OCR and machine learning to extract data from unstructured sources like invoices, receipts, bank statements, and forms. It allows users to build and train custom extraction models without coding, achieving high accuracy even for complex or varied document layouts. The platform supports seamless integrations with tools like Zapier, Google Sheets, and enterprise systems for streamlined workflows.

Zapier is a leading no-code automation platform that connects over 5,000 apps to create automated workflows called Zaps, making it ideal for streamlining data entry tasks across disparate systems. It automates the transfer of data from sources like web forms, emails, or APIs directly into spreadsheets, CRMs, databases, or other tools without manual intervention. Advanced features such as multi-step Zaps, data formatting, filters, and conditional logic enhance its capabilities for complex automated data entry scenarios. While powerful, it shines in integrating everyday apps for repetitive data handling.

Parseur is an AI-driven platform designed for automated data extraction from unstructured documents such as PDFs, emails, invoices, and receipts. It uses machine learning to identify and capture specific fields without requiring rigid templates, outputting structured data in formats like CSV, JSON, or Excel. The tool integrates seamlessly with over 5,000 apps via Zapier, Make, and native connectors, streamlining workflows for data entry automation.