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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.
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.

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Deepen your understanding of data extraction

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Intelligent document processing pipeline

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

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