If your team is still processing documents manually, tagging PDFs, entering invoice data, and copy-pasting from contracts, you already know how much time and accuracy it costs you.
That's where Intelligent Document Processing (IDP) comes in. IDP platforms use AI to extract, classify, validate, and route information automatically. The result? Fewer errors, faster approvals, and more time for higher-value work.
In 2025, IDP is no longer an emerging trend. It's a core layer of business automation for teams in finance, operations, IT, and shared services, especially those dealing with high volumes of unstructured or semi-structured documents.
This article is for professionals evaluating document automation tools: whether you're modernizing accounts payable, scaling customer onboarding, or eliminating manual data entry in compliance workflows.
We'll compare five of the best IDP platforms available in 2025, covering what they do well, where they may fall short, and which types of teams they're best suited for.
Ready?
What Is IDP Software?
IDP, or Intelligent Document Processing, is software that uses artificial intelligence to extract, understand, and route data from documents automatically. It replaces the need for manual data entry, rule-based scripts, or rigid templates by learning how to handle unstructured or semi-structured content like invoices, contracts, forms, and ID documents.
While traditional OCR could recognize characters, modern IDP goes much further. It can identify document types, detect tables, extract key fields, validate information, redact sensitive data, and pass everything into downstream systems like CRMs, ERPs, or databases.
A typical IDP workflow might look like this:
- Upload a batch of invoices (or receive them via email or API)
- Automatically extract line items, tax IDs, totals, and payment terms
- Validate vendor details against a registry or internal system
- Flag any anomalies for review
- Route approved data to your finance platform or ERP
Finance, HR, operations, and compliance teams use IDP to speed up tasks like onboarding, audits, reporting, and reconciliation, especially when working with large volumes of documents.
In short: IDP is not just OCR. It's document understanding, built for automation.
Best IDP Software for Business Automation in 2025
There's no shortage of IDP tools on the market today, and each one approaches automation differently. Some platforms focus on high-volume data extraction, while others specialize in document routing, template-free processing, or integration with RPA tools.
Below are five of the most notable IDP platforms available in 2025, all used by teams in finance, operations, compliance, and beyond.
1. Klippa DocHorizon
End-to-end IDP platform for structured data, compliance, and workflow automation
Klippa DocHorizon is a full-scale Intelligent Document Processing solution built to automate the complete document lifecycle: from classification and extraction to conversion, validation, and export. The platform supports structured business documents like invoices, receipts, contracts, and identity forms, and includes built-in tools for fraud detection, data anonymization, and human-in-the-loop review.
Key features:
- AI-powered OCR software with support for 150+ data fields
- Real-time or batch processing via REST API
- No-code workflow builder for routing, enrichment, and export
- Built-in anonymization, fraud detection, and document verification
- ISO 27001 and ISAE 3000 Type II certified
- Supports 150+ document types and multiple output formats (JSON, XML, CSV, UBL)
Limitations:
- Limited support for non-Latin languages
- Requires onboarding support for non-technical teams
Best for: Finance, logistics, manufacturing, independent software vendors (ISVs), and business process outsourcing (BPO) providers that handle high volumes of documents.
2. UiPath
Enterprise-grade IDP integrated with RPA and automation tools
UiPath offers a broad automation platform that includes Intelligent Document Processing as part of its larger ecosystem. It combines AI-powered data extraction with robotic process automation (RPA), allowing organizations to build full end-to-end workflows across documents, applications, and human reviewers.
Key features:
- Built-in document classification and template-free extraction
- AI Center for training custom models
- Seamless RPA integration for full process automation
- Strong support for human-in-the-loop workflows
- Prebuilt models for invoices, receipts, purchase orders, and more
Limitations:
- Can be complex to deploy and manage for smaller teams
- Full functionality typically requires use of other UiPath modules
- Pricing may be out of range for smaller or mid-market organizations
Best for: Large enterprises looking to combine IDP with broader automation initiatives.
3. Google Document AI
Cloud-native document understanding with specialized AI processors
Google Document AI is a cloud-based IDP platform built for high-volume document processing and flexible AI model deployment. Rather than a single extraction engine, Document AI offers task-specific processors, such as for invoices, contracts, receipts, and identity documents, each trained to understand different structures and formats.
The platform is designed for developers and data teams building document workflows within the Google Cloud ecosystem. It works particularly well when paired with other GCP tools like Vertex AI, BigQuery, and Pub/Sub.
Key features:
- Prebuilt processors for common document types (e.g., W-9s, invoices, forms)
- Support for structured and unstructured data
- Scalable through Google Cloud infrastructure
- Integrates with Google Workspace and Vertex AI
- Multilingual OCR and layout understanding
Limitations:
- Requires GCP setup and technical expertise
- Pricing can be unpredictable at scale
- Less accessible for non-technical users or smaller teams
Best for: Data, analytics, and engineering teams working within the Google Cloud environment.
4. ABBYY FlexiCapture
Enterprise-grade IDP software for regulated industries and structured workflows
ABBYY FlexiCapture is a mature Intelligent Document Processing platform designed for organizations that require fine-grained control, compliance, and customization. It offers robust support for structured and semi-structured documents through a combination of template-based extraction, validation rules, and integration with ECM and ERP systems.
The platform supports both on-premise and cloud deployments, making it appealing to industries with strict data residency or security requirements. However, its complexity may be a consideration for smaller teams or fast-moving environments.
Key features:
- Advanced template-driven extraction and rule-based validation
- Multi-language OCR support
- On-premise and private cloud deployment options
- Integration with ECM, RPA, and line-of-business systems
- Audit trails and compliance-friendly architecture
Limitations:
- Setup and customization can be time-consuming
- Requires training and expertise to manage templates and workflows
- Scaling typically involves significant infrastructure investment
- Less suited to rapidly changing document formats or high-agility teams
Best for: Compliance, legal, or operations teams in highly regulated sectors.
5. Microsoft Azure AI Document Intelligence
Cloud-based document automation with deep Azure ecosystem integration
Microsoft Azure AI Document Intelligence (formerly Form Recognizer) is a document understanding platform that uses prebuilt and custom AI models to extract, analyze, and structure data from forms, invoices, IDs, and contracts. Built on Azure Cognitive Services, it fits seamlessly into Microsoft's broader cloud and AI stack.
Users can choose between pre-trained models for common document types or build their own using labeled data. The platform supports REST APIs and SDKs for integration, and works well when used in tandem with services like Power Automate, Logic Apps, and SharePoint.
Key features:
- Prebuilt models for IDs, invoices, receipts, and contracts
- Custom model training for layout-specific documents
- Native integration with Azure, Microsoft 365, and Power Platform
- Multilingual OCR and layout analysis
- REST API and SDKs for developer integration
Limitations:
- Best suited for organizations already using Microsoft Azure
- Custom model training can require technical expertise
- Less focus on end-to-end document workflows or compliance out-of-the-box
Best for: IT, procurement, and finance teams in Microsoft-centric environments.
6. Amazon Textract
Scalable document extraction service for AWS-based automation
Amazon Textract is a fully managed machine learning service that automatically extracts text, tables, and form data from scanned documents. Part of the AWS ecosystem, Textract is designed for developers building document workflows that require scalable, cloud-native infrastructure.
Textract offers built-in support for common structures like tables and key-value pairs, and integrates with other AWS services such as Lambda, S3, and Comprehend for post-processing. While it's a powerful tool for extraction, it doesn't include workflow design, validation, or verification layers out of the box.
Key features:
- Extracts structured data (tables, forms, fields) from documents
- Built-in OCR with handwriting support
- Scalable through AWS Lambda, Step Functions, and S3
- Integration with other AWS AI/ML services
- Secure and compliant with common cloud certifications
Limitations:
- No built-in UI or workflow automation, API-only
- Requires AWS expertise to configure and scale
- No native human-in-the-loop or fraud detection features
- Pricing can add up with large volumes and multiple services
Best for: Developer teams and IT departments in AWS-native environments.
How to Choose the Right IDP Tool
Choosing the right IDP platform depends on your documents, team structure, and automation goals. Here are a few essential things to consider:
- Document Types: Are you working with structured formats like invoices and forms, or unstructured content like contracts and letters? Some tools are better suited for one or the other.
- Automation Needs: Look for features beyond OCR, such as classification, validation, fraud detection, or routing, especially if you're aiming for full workflow automation.
- Integrations & Deployment: Consider how easily the platform connects to your existing systems (ERP, CRM, RPA), and whether you need a cloud-based, on-prem, or hybrid setup.
- Ease of Use: Some platforms require deep technical knowledge, while others offer low-code or no-code interfaces better suited to business teams.
- Compliance & Security: If you work with sensitive data, make sure the solution meets relevant standards like GDPR, HIPAA, or ISO 27001.
Our Top IDP Pick for 2025: Klippa DocHorizon
Among the many Intelligent Document Processing tools available today, Klippa DocHorizon stands out for its ability to combine high performance with simplicity and precision.
Built for structured documents like invoices, receipts, contracts, and ID forms, Klippa offers more than OCR; it delivers full document intelligence. Features like real-time data extraction, validation through external sources, anonymization, and fraud detection come built in, making it especially strong in industries where accuracy and compliance are critical.
What makes it different from many legacy platforms is its usability. Developers can integrate it quickly via REST API, while business teams can design complete document workflows using a low-code interface. Whether processing hundreds or millions of documents, Klippa scales with minimal overhead and without compromising speed or control.
For teams looking to modernize document workflows across finance, logistics, manufacturing, or BPO environments, Klippa DocHorizon brings together the capabilities that matter most in 2025: automation, compliance, and real-world adaptability.
Final Thoughts
Intelligent Document Processing has moved far beyond simple OCR. In 2025, the best platforms combine speed, accuracy, and automation with the flexibility to fit different industries, workflows, and compliance demands.
There's no one-size-fits-all solution, but for teams focused on structured data, scalable workflows, and long-term efficiency, the right IDP tool can quietly transform the way documents move through your business.
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