Optical Character Recognition (OCR)
Optical Character Recognition converts printed, handwritten, or scanned text into machine-readable data. At Gautam AI, OCR systems are engineered as high-accuracy, multilingual, and enterprise-scale document intelligence solutions.
What Is Optical Character Recognition?
Optical Character Recognition (OCR) is a computer vision technology that detects and recognizes text within images, PDFs, or video frames and converts it into structured, editable, and searchable data.
Modern OCR systems combine computer vision, deep learning, and natural language processing to handle diverse fonts, layouts, handwriting, and real-world noise.
OCR Models & Systems We Build
Printed Text OCR
High-accuracy recognition for scanned documents.
Handwritten Text Recognition
Deep learning models for cursive & free-form writing.
Multilingual OCR
Support for multiple scripts & regional languages.
Structured Document OCR
Tables, forms, invoices & receipts extraction.
Scene Text Recognition
Text detection in natural images & videos.
Custom OCR Pipelines
Domain-specific OCR tuned for accuracy.
Gautam AI’s OCR Engineering Approach
OCR accuracy depends on image quality, layout complexity, and language variation. Gautam AI follows a research-driven pipeline:
- Image preprocessing, de-noising & enhancement
- Text detection & segmentation optimization
- Deep learning–based sequence recognition
- Post-processing with NLP & rule engines
- MLOps-driven deployment & monitoring
Real-World Applications
- Invoice, receipt & bill processing
- KYC, identity & document verification
- Healthcare records digitization
- Legal & government document automation
- Logistics & shipping documentation
Why Gautam AI for OCR Solutions?
- Research-grade document AI expertise
- High-accuracy multilingual OCR systems
- Explainable & auditable pipelines
- Enterprise-scale deployment readiness
- Continuous improvement & monitoring
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