13 intelligent document processing (IDP) tools for process excellence

Intelligent document processing (IDP) tools autonomously extract data from documents and transform it into structured, actionable and machine-readable information. They use a finely tuned combination of technologies and artificial intelligence (AI) models to classify, categorize and validate information with high levels of confidence and accuracy.

IDP expands on traditional document digitization methods such as optical character recognition (OCR), which has historically been used to convert printed text into digital format.

Although OCR remains a foundational element, today’s IDP solutions incorporate advanced technologies to analyze, extract and organize meaningful information from documents. By enhancing operational efficiency and providing actionable insights, IDP delivers substantial value to organizations aiming to gain a competitive edge.

IDP tools typically operate across four functions: document ingestion, data extraction, data normalization and verification and data export. IDP lies at the core of the operational workflow of many businesses today, particularly in document-heavy sectors such as financial, legal and healthcare.

Common IDP use cases include:

• Invoice and payment processing
• Contract management
• Customer and employee onboarding
• Compliance and regulatory reporting
• Medical records management
• Claims processing
• Customer service and support

The IDP market is expected to grow to US$2.09 billion by 2026, according to Gartner. “The intelligent document processing market is expansive, with over 100 vendors, including from adjacent markets, offering full solutions or individual components,” read the recent Gartner Magic Quadrant for Intelligent Document Processing Solutions.

13 IDP tools that can enhance process excellence

1. ABBYY Vantage

The ABBYY Vantage platform processes structured, semi structured and unstructured documents in any format, language or layout. The platform handles complex contextual understanding by combining advanced NLP, named entity recognition (NER), document structure analysis and domain-specific logic.

2. Amazon Textract

AWS' Amazon Textract is a cloud-native IDP offering with prebuilt models for common document types. It extracts text, handwriting and structured data (forms, tables, key-value pairs) from scanned documents.

AWS’ IDP portfolio also includes Amazon Bedrock, which provides a generative AI reasoning layer for extraction and postprocessing tasks like summarization, generative Q&A and LLM-asa-judge validation for accuracy.

3. Appian AI Process Platform

AI Document Center and AI Skills are a part of the Appian AI Process Platform, a unified system for process orchestration, automation and intelligence, built on core low-code app capabilities. Its operations are geographically diversified, with a global workforce and growth in North America, EMEA and APAC.

Appian’s clients are primarily large enterprises in financial services, the public sector and life sciences.

4. Automation Anywhere Document Automation

Automation Anywhere Document Automation focuses on automated document workflows, data extraction (from structured, semi structured and unstructured documents), classification, workflow orchestration, redaction, PII masking and document analysis.

Automation Anywhere’s operations are geographically diversified with a global presence. Its client base is primarily large enterprises and midmarket clients in financial services, healthcare, manufacturing and other industries.

5. Google Document AI

Google’s Document AI tool includes access to foundation-model-powered custom processors for data extraction and automation and a Layout Parser to prepare documents for retrieval-augmented generation (RAG).

Google serves diverse enterprises in sectors like financial services, healthcare and insurance through usage-based or subscription pricing. The cloud-native platform runs on Google Cloud and supports multitenant and dedicated environments to meet diverse enterprise data residency and compliance requirements.

6. Hypatos

Hypatos’ platform and AI Agent Studio products focus on automated document workflow processing, data extraction, AI-based document classification, workflow orchestration and agentic automation.

Hypatos’ operations are majorly concentrated in Europe, with limited presence in other geographies. It serves large enterprises and global organizations, especially in finance, insurance and shared services.

7. Hyperscience Hypercell

Hyperscience’s Hypercell platform provides automated document workflow processing, data extraction, AI-based classification, workflow orchestration and agentic automation.

Its operations are geographically diversified, serving large enterprises and government agencies in financial services, insurance, transportation and logistics and the public sector.

8. Infrrd

Infrrd offers the Titan IDP platform for IDP, Marvel for reading engineering diagrams and iTrackPro for insurance policy verification and tracking. Its operations are majorly focused in the US, but it’s present in Europe, Canada and other regions. Clients tend to be midsize to large enterprises in mortgage, insurance and manufacturing.

9. Microsoft Azure AI Document Intelligence

Microsoft’s Azure AI Document Intelligence focuses on extracting, understanding and processing information from various document types, using AI and machine learning. Microsoft’s product portfolio for document processing also includes AI Builder within the Power Platform and SharePoint Premium for content processing and management within Microsoft 365.

Its operations are geographically diversified, serving clients across global Azure regions, including the US, Europe and APAC.

10. Nanonets

Nanonets focuses on automated document workflow processing, augmented reading and handling, data extraction, advanced AI use cases and multilingual workflows.

Its operations are geographically diversified, serving clients across North America, Europe, the Middle East and APAC. Nanonets’ clients range from midmarket to global enterprises, across industries like manufacturing, retail, healthcare and logistics.

11. Rossum

Rossum’s IDP product supports complex multidocument transactional workflows with its Transactional LLM (T-LLM) capabilities. It uses a natural language interface to create workflows for automating and optimizing business processes.

Rossum’s operations are geographically diversified, serving large enterprises in industries like manufacturing, retail and transportation and logistics. Rossum focuses on automating supply chain paperwork from end to end, offering a spectrum of licensing models including usage-, workflow- and subscription-based pricing.

12. Tungsten Automation TotalAgility

TotalAgility by Tungsten Automation incorporates IDP, AI-powered capture, workflow automation and seamless integration. It also includes advanced capabilities like knowledge discovery, enabling semantic search, question answering and data mining from unstructured content.

Its operations are geographically diversified and serve midsize and global enterprises, especially in finance, insurance and government.

13. UiPath

UiPath’s portfolio of IDP products, including Document Understanding and Communications Mining, are focused on automated document workflow processing, data extraction, AI-based classification and agentic orchestration and integration with process mining.

Its operations are geographically diversified, serving large enterprises and midmarket clients in industries such as banking, insurance and government and functions such as legal and contact centers.

Task mining – unlocking new possibilities in process optimization: Industry report 2025

Task mining is experiencing robust growth, driven by the increasing need for process optimization and automation across diverse sectors. The market, estimated at US$2 billion in 2025, is projected to exhibit a compound annual growth rate (CAGR) of 25 percent over the next eight years, reaching an impressive $10 billion by 2033, according to Market Report Analytics.

Download this report to explore the task mining landscape and learn how it unlocks new opportunities in process optimization!

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