ABBYY

Data extraction and validation

Precise, reliable data extraction to power
decision-making

Entrust your documents to purpose-built AI models that deliver the highest accuracy in data capture to streamline your processes and optimize resource use.
Automated-Data-Extraction
Purpose-build-AI-Data Extraction

Unlock business-critical
data—quickly and accurately

Data extraction is the core element within the intelligent document processing (IDP) pipeline. Powered by advanced AI and machine learning, our IDP platform effortlessly handles any document type, language, or complexity—automating data capture and driving efficiency.

With pre-trained models, low-code customization, and continuous learning, ABBYY enables faster, more accurate processing, reducing manual tasks and improving your business operations from day one.

Instant access to the data that fuels your processes

Any document, any language, any complexity

ABBYY’s purpose-built AI handles structured (e.g., tax forms), semi-structured (e.g., invoices), and unstructured (e.g., agreements) documents in over 200 languages. It efficiently extracts business-critical data from multi-page documents and complex tables, ensuring smooth, automated workflows for your business.

Over 150 pre-trained extraction models

Kickstart your automation with over 150 pre-built models—also known as document skills— designed for various document types and industries. These models detect and extract key data and apply built-in validation rules, ensuring consistency and accuracy out of the box. Easily deploy the models from the ABBYY Marketplace for immediate results. Then, watch your process continue to improve as the models learn from your organization’s unique document variations.

Low-code design and training of custom models

Our low-code platform puts the power of AI into the hands of business users. For unique or specialized document types, you can easily design and train custom extraction models with just a few examples—no coding expertise required. As more documents and new variations are processed, your models will learn and adapt, continuously refining their performance and accuracy.

Rapid model design with auto-labeling (preview)

One of the most time-consuming tasks in training AI models is manually labeling documents. ABBYY eliminates this bottleneck with its advanced auto-labeling, powered by ABBYY’s very own purpose-built multimodal model Phoenix 1.0 and zero-shot learning. With the very first document, the system automatically identifies key data fields and suggests the relevant information to extract, while allowing you to make adjustments with ease. This dramatically accelerates the design and deployment of new extraction models.

High straight-through processing from day one

With models pre-trained on thousands of documents, ABBYY achieves over 90% straight-through processing (STP) right out of the gate. This means your organization benefits from fast, touchless processing that significantly reduces manual intervention, slashing operational costs and improving turnaround times.

Continuous learning

Real-world documents are messy and unpredictable, but ABBYY’s purpose-built AI gets smarter with each new variation. Through continuous learning and human-in-the-loop (HITL) feedback, your models adapt to evolving document types and formats, constantly improving extraction accuracy and efficiency. This ensures your automation remains robust and effective over time.

Advanced handwritten data extraction

ABBYY IDP revolutionizes handwritten text recognition, surpassing the limitations of legacy intelligent character recognition (ICR) tools that struggle with accuracy. Using cutting-edge AI-based technology, ABBY IDP accurately recognizes and extracts handwritten data—including cursive writing—from documents such as invoices, receipts, medical forms, applications, transportation documents, and more. This helps you achieve new levels of automation, even for the most complex and traditionally challenging document types.

Comprehensive data normalization and validation

Our pre-trained models feature advanced data normalization and validation rules, automatically performing cross-checks, sum checks, vendor matching, purchase order validation, and more. This ensures that your extracted data is accurate and reliable, flagging discrepancies for further manual review if necessary. You can customize these rules to fit your specific business or process needs, further enhancing the reliability of your document workflows.

Tame LLM results with ABBYY IDP to automate smarter

While large language models (LLMs) offer exciting new possibilities, they aren’t without their challenges. For businesses looking to incorporate the power of LLMs into their operations without the risk of AI hallucinations or unreliable results, ABBYY IDP provides a dependable solution. As a gateway, ABBYY IDP seamlessly connects your automation workflows to generative AI and general-purpose LLMs, letting you automate complex processes beyond simple data extraction while still having peace of mind about the accuracy of your results. Plus, automatically generated, purpose-built prompts ensure rapid implementation, improved precision, and faster return on investment.

Leverage GenAI in production with the secure LLM gateway

Seamless-LLM-IDP-Integration

Deepen your understanding of data extraction

Checklist
Checklist

5 Steps to Successful Intelligent Document Processing

Discover the power of IDP to make your automation robots smarter and your data extraction more efficient.

Download checklist
Webpage
Article

Pushing the Boundaries of Intelligent Document Processing

Learn how advanced AI models are enhancing the accuracy, speed, and versatility of document-centric tasks.

Read the article
White paper
Whitepaper

The Inevitable Need for Understanding Content

Low-code/no-code tools are helping businesses improve data extraction, making it simpler to automate processes and speed up digital transformation.

Download whitepaper
Checklist
Checklist

5 Steps to Successful Intelligent Document Processing

Discover the power of IDP to make your automation robots smarter and your data extraction more efficient.

Download checklist
Webpage
Article

Pushing the Boundaries of Intelligent Document Processing

Learn how advanced AI models are enhancing the accuracy, speed, and versatility of document-centric tasks.

Read the article
White paper
Whitepaper

The Inevitable Need for Understanding Content

Low-code/no-code tools are helping businesses improve data extraction, making it simpler to automate processes and speed up digital transformation.

Download whitepaper

How data extraction works

Data extraction is the key that unlocks the true value of your documents. After document intake brings your information into the system, and document classification sorts it, it’s time to find and pull the critical details you need through data extraction.

This is where intelligent document processing (IDP) truly shines, picking out the precise details you need from each document. Whether it's invoice numbers, customer names, or key contract terms, data extraction turns raw information from your documents into organized, usable data, ready to fuel your automation and decision-making processes.

  • Pull the important data
  • Verify and validate
  • Organize and structure

​​​Pull the important data

Extracting the right data from documents requires a highly optimized for this task combination of technologies. Depending on the document type, language, and content, the process may involve tools like OCR and ICR and underlying AI models and algorithms such as object detection, advanced word recognition, key-value pair extraction, and natural language processing (NLP). These technologies work together to turn images or scanned documents into readable text, understand the context, and pull out the specific data you need.

Learn more

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Verify and validate

​The extracted data undergoes a rigorous quality check to ensure it is accurate and complete. This involves comparing it against predefined criteria—specific rules that you have set up ahead of time—and external databases for further validation. In more intricate scenarios, a human-in-the-loop review process is employed, where experts step in to provide their judgment and ensure the highest level of accuracy.

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Organize and structure

The extracted and verified data is then presented into a structured format, such as CSV or JSON. This makes the data easier to store, analyze, and export to downstream applications to fuel business processes.

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Intelligent document processing pipeline

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Document input
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Image enhancement
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OCR / ICR
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Document classification & assembly
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Data extraction & validation
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Human in the loop & continuous learning
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Quality analytics
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Data output

Data extraction & validation

Extract data from structured, semi-structured, or unstructured business documents using advanced AI and machine learning that mimic human understanding. ABBYY IDP reads and understands documents in over 200 languages and effortlessly handles complex tables, handwriting, checkmarks, barcodes, signatures, and more.

Automatic validation cross-checks information against databases and ensures compliance with built-in validation rules. Our low-code design approach gives you the flexibility to use pre-trained models available in the ABBYY Marketplace, tweak these ready-to-use models for the unique needs of your organization, or train custom models tailored to your specific documents.

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Learn more about IDP and OCR

Webpage
Blog

OCR vs. IDP: What’s the Difference?

Discover how IDP goes beyond OCR to revolutionize business workflows with AI and machine learning.

Read the article
Webpage
Blog

AI Is Not Just for OCR

Insurers can unlock true automation potential by integrating AI throughout the entire process for scalability and accuracy.

Learn more
Webpage
Podcast

AI-Powered Document Processing Is Changing Accounts Payable—Here's How

Learn how AI, machine learning, IDP, and OCR work together to automate your invoice processing.

Listen to the podcast
Webpage
Blog

OCR vs. IDP: What’s the Difference?

Discover how IDP goes beyond OCR to revolutionize business workflows with AI and machine learning.

Read the article
Webpage
Blog

AI Is Not Just for OCR

Insurers can unlock true automation potential by integrating AI throughout the entire process for scalability and accuracy.

Learn more
Webpage
Podcast

AI-Powered Document Processing Is Changing Accounts Payable—Here's How

Learn how AI, machine learning, IDP, and OCR work together to automate your invoice processing.

Listen to the podcast

Data extraction—Frequently ​a​sked ​q​uestions​ (FAQs)

What is data extraction, and why is it important?
What types of data can be extracted from documents?
Can I integrate the extracted data with my existing systems?
How accurate is the data extraction process? Is the information validated for accuracy and completeness?

Request a demo today!

Schedule a demo and see how ABBYY intelligent automation can transform the way you work—forever.

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