Oodles converts proven OCR implementations into reusable, production-ready OCR solution kits. Our teams package document intake, Optical Character Recognition, NLP-based data extraction, and governed workflows using Python, JavaScript, C/C++ based OCR engines, OpenCV, Tesseract, Vision Transformers, LayoutLM, and cloud-native MLOps—so enterprises accelerate document automation without sacrificing accuracy, security, or compliance.
Oodles starts with domain-driven workshops to define document types, accuracy SLAs, and regulatory constraints. We then assemble reusable OCR pipelines combining OpenCV-based image preprocessing, deep learning recognition models, NLP entity extraction, validation rules, and deployment automation—delivering scalable OCR accelerators your teams can extend and operate independently.
OCR use-case discovery, KPI definition, document taxonomy design, and compliance assessments that shape reusable OCR solution blueprints.
Web and mobile document capture built with JavaScript and Python services, OpenCV preprocessing, batch orchestration, and SLA-aware routing pipelines.
Text recognition using Tesseract (C/C++ core), Vision Transformers, TrOCR, and LayoutLM with spaCy-powered NLP microservices for structured document understanding.
Confidence scoring, rule engines, and human-in-the-loop review consoles that ensure OCR accuracy, traceability, and audit readiness.
Dashboards tracking OCR accuracy, throughput, exception rates, and automation ROI using embedded analytics and BI integrations.
Containerized OCR deployments using Docker and Kubernetes, infrastructure-as-code templates, documentation, and enablement plans for enterprise handover.
Each OCR solution kit from Oodles includes configurable workflows, trained OCR models, validation logic, dashboards, and system adapters to reduce implementation timelines.
OCR-driven invoice capture with layout detection, duplicate checks, tax extraction, and ERP-ready structured outputs.
OCR extraction from identity documents with handwriting recognition, fraud checks, and CRM or LOS integrations.
OCR and NLP pipelines for medical records, claims, and authorizations with compliance-driven controls.
Handle FNOL intake, adjuster notes, and payout approvals with straight-through processing triggers.
OCR automation for bills of lading, customs forms, and proof-of-delivery documents integrated with TMS and ERP systems.
OCR-powered conversion of contracts and archives into searchable repositories with clause extraction.
We deliver end-to-end OCR solutions: data capture, layout analysis, text extraction, validation, and structured output. We use Tesseract, cloud APIs (Google, Azure), and custom models for invoices, forms, contracts, and ID documents.
Yes. We apply preprocessing (deskew, denoise, contrast enhancement) before OCR. For degraded documents, we use robust models and human validation. We also handle mixed printed/handwritten content and complex layouts.
We integrate via REST APIs, webhooks, or direct DB writes. We support ERP, CRM, and document management systems. We output CSV, JSON, or custom formats. We also build review UIs and approval workflows for human oversight.
Yes. We provide monitoring, retraining when accuracy drops, and support for new document types. We handle infrastructure updates and scaling. We also offer SLA-based support and dedicated engineers for enterprise clients.
We support on-premise deployment and encrypted storage. We comply with GDPR, HIPAA, and industry standards. We use secure pipelines, access controls, and audit logs. We can process data in air-gapped environments when required.
Yes. We fine-tune models for healthcare (medical records), legal (contracts), finance (invoices, receipts), and government. We train on your annotated data and iterate until accuracy meets your thresholds.
Clients typically see 60–80% reduction in manual data entry time, faster processing, and fewer errors. ROI depends on volume and complexity. We provide business cases and pilot programs to validate before full rollout.