Oodles AI delivers intelligent data extraction solutions that transform unstructured documents into structured, actionable data. Our platforms leverage OCR, natural language processing, computer vision, and machine learning to automate data capture at scale with high accuracy and enterprise-grade security.
Data extraction is the process of converting unstructured and semi-structured data from sources such as PDFs, images, emails, websites, and databases into structured formats. Oodles AI uses OCR engines, NLP models, computer vision, and rule-based validation layers to automate extraction workflows, enabling organizations to process large document volumes efficiently while significantly reducing manual effort and errors.
Extract structured data from invoices, receipts, contracts, forms, and business documents using intelligent document processing pipelines and validation rules.
Optical Character Recognition powered by deep learning models to extract printed and handwritten text from scanned documents and images.
Automated data extraction from websites and online platforms using crawlers, parsers, and data normalization pipelines.
Machine learning and NLP models that understand document context, identify entities, and improve extraction accuracy over time.
API-driven and event-based processing that enables near real-time document ingestion and data extraction within enterprise workflows.
Secure data extraction with encryption, access control, audit logging, and compliance with GDPR, HIPAA, and industry regulations.
A systematic approach to transforming your raw data into structured, actionable information
1
Document Analysis: We analyze your documents to understand structure, data fields, variations, and extraction requirements to design the optimal solution.
2
Model Development: Build extraction models using OCR engines, NLP pipelines, and computer vision frameworks tailored to specific document formats and business rules.
3
Training & Validation: Train models on your document samples, validate accuracy across edge cases, and fine-tune for optimal performance.
4
Integration & Deployment: Expose extraction capabilities through REST APIs, message queues, and automation workflows, with monitoring and error handling built in.
5
Transformation & Integration: Transform extracted data into your desired format, map fields to target schema, and integrate seamlessly with your existing systems and databases.
6
Monitoring & Optimization: Track extraction accuracy, throughput, and failure patterns using logs and metrics to continuously optimize models and pipelines.
High extraction accuracy achieved through advanced OCR, NLP, and machine learning models trained on diverse document types and layouts.
Advanced AI and machine learning algorithms ensure high extraction accuracy with continuous learning and improvement from your specific data patterns.
Eliminate manual data entry costs, reduce errors, and free up staff for higher-value tasks. Typical ROI achieved within 3-6 months of implementation.
Enterprise-grade security with encryption at rest and in transit, role-based access controls, audit trails, and regulatory compliance.
Enterprise-grade security with encryption, access controls, audit trails, and compliance with GDPR, HIPAA, SOC 2, and industry-specific regulations.
Easy integration with your existing systems including CRM, ERP, databases, cloud storage, and business applications through APIs and connectors.
Automatically extract structured data from forms and tables using AI-driven document understanding and layout analysis.
Discover how businesses leverage data extraction to streamline operations and gain competitive advantages
Oodles AI builds automated invoice and receipt extraction systems that integrate with accounting platforms to reduce manual processing and errors.
Healthcare data extraction solutions developed by Oodles AI digitize medical records and lab reports while maintaining strict data security and compliance.
Legal document extraction pipelines identify clauses, dates, and entities from contracts and case files for faster review and compliance.
Digitize government forms, applications, permits, and citizen documents for faster processing, improved service delivery, and reduced operational costs.
Build searchable document archives by extracting and indexing content from legacy documents, contracts, records, and business correspondence.
Automate processing of bills of lading, customs forms, shipping manifests, and delivery receipts to streamline supply chain operations and reduce errors.
Extract data from organized sources like databases, spreadsheets, CSV files, and APIs where information follows a predefined format and schema with clear fields and relationships.
Extract information from unorganized content like PDFs, emails, text documents, images, and scanned files using AI, NLP, and OCR technologies to identify and structure relevant data.
Process data with some organizational properties like XML, JSON, HTML, and log files that contain tags and hierarchies but don't fit traditional database structures.