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Overview
AI Data Recognition and Training for Continuous OCR Improvement
Increase extraction quality with AI data recognition and training built for real business documents. TEERA XTract learns from corrections, document patterns, and field behaviour so your OCR performance improves over time and adapts to changing templates and formats.
Build Smarter Recognition With Continuous Learning
AI data recognition and training improves field detection, classification, and extraction outcomes by learning from approved outputs and review feedback. This helps the system handle variations in layouts, fonts, and document quality more effectively.
Powered by the Teera Intelligence Engine, model refinement supports incremental accuracy gains and stronger recognition confidence across new templates, suppliers, and custom business documents.
Comprehensive AI Data Recognition and Training Capabilities
Improve OCR model performance with intelligent training workflows and recognition controls tailored to business document complexity.
- Smart Field Detection Training
- Document Layout Learning
- Custom Template Recognition
- Entity and Value Classification
- Human-in-the-Loop Model Feedback
- Confidence Threshold Tuning
- Multi-Format Recognition Adaptation
- Continuous Learning Optimisation
More Than Static OCR Models
TEERA XTract delivers adaptive recognition that evolves with your documents, so the system stays accurate even as suppliers, layouts, and business requirements change.
- Improve extraction accuracy over time
- Adapt to new document templates quickly
- Reduce manual review and correction effort
- Increase confidence in captured business data
- Support custom field recognition by industry
- Generate AI-assisted training recommendations
Introducing TEERA XTract Adaptive OCR Intelligence
TEERA XTract combines AI data recognition and training with practical controls to continuously improve document understanding and extraction performance across business workflows.
As your document ecosystem evolves, TEERA XTract scales with stronger model governance, rapid template onboarding, and measurable improvement in recognition quality.
The Future of AI Data Recognition and Training
Learn
Train recognition models continuously from real document outcomes.
Adapt
Handle template and layout changes with flexible AI-driven recognition.
Improve
Increase accuracy, reduce effort, and strengthen automation outcomes.