Oodles builds production-grade OCR platforms by combining computer vision, document AI, and NLP engineering. Our teams design scalable OCR systems using Tesseract, PaddleOCR, TrOCR, LayoutLM, OpenCV, TensorFlow, and PyTorch—delivering accurate text extraction, validation, and structured outputs for regulated environments.
Oodles converts discovery workshops into production-ready OCR architectures. Our Python-driven OCR pipelines cover image preprocessing, text recognition, layout analysis, and NLP-based entity extraction. Using OpenCV, transformer-based OCR models, and containerized inference services, we ensure accuracy, scalability, and governed MLOps across the OCR lifecycle.
OCR-ready document ingestion via scanners, uploads, and APIs with preprocessing using OpenCV for deskewing, denoising, binarization, and layout segmentation to maximize recognition accuracy.
Text recognition powered by Tesseract, PaddleOCR, and transformer-based TrOCR, combined with LayoutLM and spaCy for document structure analysis, entity extraction, and semantic validation.
Confidence-driven review queues, assisted correction interfaces, and annotation workflows that continuously improve OCR accuracy while maintaining expert oversight.
Automated quality validation, PII masking, audit logs, and data retention controls aligned with GDPR, HIPAA, SOC 2, and enterprise document governance standards.
REST and GraphQL APIs that expose OCR-extracted structured data to ERP, ECM, LOS, BPM, and analytics platforms for downstream automation.
OCR model CI/CD using MLflow, Docker, and Kubernetes with monitoring dashboards to track accuracy, latency, throughput, and model drift in production.
Proven OCR workflows that combine document intake, recognition, validation, and system integration for faster enterprise adoption.
OCR extraction from bank statements, KYC documents, and loan files with rule-based validation and audit-ready workflows.
OCR of clinical documents, prescriptions, and lab reports with PHI masking and compliance-aware data handling.
OCR automation for claim forms, invoices, and adjuster notes enabling faster FNOL and claims adjudication.
Large-scale OCR digitization of forms, land records, and archives with searchable text, metadata tagging, and retention policies.
OCR extraction from invoices, bills of lading, and customs documents with downstream ERP and trade compliance integrations.
Large-scale OCR conversion of books, contracts, and historical archives into searchable and structured digital content.