Vantage 3.0
Introducing a hybrid approach to using Document AI and GenAI
Supercharge AI automation with the power of reliable, accurate OCR
Increase straight-through document processing with data-driven insights
Integrate reliable Document AI in your automation workflows with just a few lines of code
PROCESS UNDERSTANDING
PROCESS OPTIMIZATION
Purpose-built AI for limitless automation.
Kick-start your automation with pre-trained AI extraction models.
Meet our contributors, explore assets, and more.
BY INDUSTRY
BY BUSINESS PROCESS
BY TECHNOLOGY
Build
Integrate advanced text recognition capabilities into your applications and workflows via API.
AI-ready document data for context grounded GenAI output with RAG.
Explore purpose-built AI for Intelligent Automation.
Grow
Connect with peers and experienced OCR, IDP, and AI professionals.
A distinguished title awarded to developers who demonstrate exceptional expertise in ABBYY AI.
Explore
Insights
Implementation
Human-in-the-loop verification

HITL verification combines human expertise with automated processes to ensure AI system decisions are accurate and aligned with business goals. By integrating human reviewers at critical decision points, this approach enhances precision, reduces errors, and builds trust in AI-driven workflows.
Human oversight plays a key role in validating AI results, ensuring reliability and acting as a crucial safety net for high-stakes tasks where errors can be costly or sensitive. Additionally, the input from human experts contributes to continuous learning and model optimization, enabling the AI to improve over time and adapt to evolving business needs.
Humans verify AI-driven insights, minimizing false positives or negatives.
Streamline processes by delegating repetitive tasks to AI and reserving human input for complex decisions.
The combination of automation and human review assures stakeholders of reliable outcomes.
Leverages human expertise strategically to manage increasing data volumes without sacrificing accuracy.
AI systems evolve through ongoing data input and human feedback, ensuring consistent improvement and adaptability.
An out-of-the-box manual verification UI and workflow promote efficiency by providing a streamlined interface for human experts to quickly review and validate AI-processed data.
HITL (Human-in-the-loop) verification plays a crucial role in the IDP pipeline by addressing edge cases, ensuring accuracy when automated systems encounter uncertain or complex data, or for resolution when pre-defined validation rules are not met.
AI systems process large volumes of data, flagging cases that require further attention.

Subject matter experts review flagged data, ensuring alignment with business objectives and accuracy standards.

Expert insights are fed back into the AI to improve its learning and future decision-making. This cyclical process ensures continuous improvement and consistency in outcomes.

For many organizations, the question isn’t whether to invest in AI innovation, but when and how. In this article Ulf Persson, CEO of ABBYY, discusses the findings of our State of Intelligent Automation Report.

OCR solutions have come a long way, incorporating AI, machine learning, and natural language processing to deliver modern intelligent document processing solutions—capable of understanding and extracting data from any document.

This comprehensive demonstration of the Quality Analytics dashboard in ABBYY Vantage shows how you can track the chain of documents that are being processed without human intervention over time (straight-through processing rate). Key points include tracking document processing, optimizing human-in-the-loop resources, adjusting data verification settings, and analyzing extraction accuracy.

For many organizations, the question isn’t whether to invest in AI innovation, but when and how. In this article Ulf Persson, CEO of ABBYY, discusses the findings of our State of Intelligent Automation Report.

OCR solutions have come a long way, incorporating AI, machine learning, and natural language processing to deliver modern intelligent document processing solutions—capable of understanding and extracting data from any document.

This comprehensive demonstration of the Quality Analytics dashboard in ABBYY Vantage shows how you can track the chain of documents that are being processed without human intervention over time (straight-through processing rate). Key points include tracking document processing, optimizing human-in-the-loop resources, adjusting data verification settings, and analyzing extraction accuracy.

Some businesses are aiming to deploy AI agents for simple, repetitive tasks where a rules-based system would be faster and more efficient understand why and how in this article.

AI Ethics Evangelist Andrew Pery recommends organizations bridge the gap between innovation and compliance by adopting a layered approach to AI regulation that strikes a balance between innovation and potential adverse impacts.
By combining memory, AI models, and systems integration, AI agents push automation further than ever before, showcasing how far we’ve come—and how much further we can go.
Some businesses are aiming to deploy AI agents for simple, repetitive tasks where a rules-based system would be faster and more efficient understand why and how in this article.

AI Ethics Evangelist Andrew Pery recommends organizations bridge the gap between innovation and compliance by adopting a layered approach to AI regulation that strikes a balance between innovation and potential adverse impacts.
By combining memory, AI models, and systems integration, AI agents push automation further than ever before, showcasing how far we’ve come—and how much further we can go.
Schedule a demo and see how ABBYY intelligent automation can transform the way you work—forever.