AI OCR / IDP - Intelligent Document Processing Across All Industries
Transform your document workflows with AI-driven OCR technology. Our Intelligent Document Processing (IDP) platform automates data extraction from invoices, contracts, forms, and handwritten documents, eliminating manual errors and accelerating turnaround times. Leveraging context-aware AI, the system adapts to your industry's unique terminology and formats, ensuring precise results even in complex scenarios.
Industry-Specific Document Solutions
Pharmaceuticals
Material Safety Data Sheets (MSDS)
Clinical Trial Case Reports
Batch Manufacturing Records
Regulatory Compliance Filings
Transportation & Logistics
Bills of Lading (BOL)
Freight Invoices
Customs Clearance Documents
Vehicle Inspection Reports
Spedition
CMR International Consignment Notes
Cargo Insurance Certificates
Cross-Border Compliance Docs
Dangerous and Hazardous Goods Declarations
Accounting / Bookkeeping
Multi-Currency Invoices
Expense Reports
Purchase Orders
Tax Calculation Sheets
Biotech
Research Protocol Documents
Patent Application Drafts
Lab Equipment Calibration Logs
Healthcare
Patient Consent Forms
Insurance Claim Adjudications
HIPAA Audit Trails
Legal
Mergers & Acquisitions Paperwork
Deposition Transcripts
Intellectual Property Filings
Manufacturing
Production Work Orders
Supplier Quality Agreements
ISO Certificates
Quality Assurance
Non-Conformance Reports (NCR)
Audit Compliance Checklists
Corrective Action Plans (CAPA)
Insurance
Claims Adjustment Forms
Policy Underwriting Docs
Actuarial Calculation Sheets
FinTech
Loan Application Packages
KYC/AML Documentation
Fraud Pattern Analysis Reports
Input Document to JSON
Input Document Digital or Scanned
Gen AI OCR
Parsed Input Document into Structured JSON
Every parsed document has its own unique structure
Gen AI OCR
Store Structured and Unstructured Data
We can store and retrieve both Structuredand Unstructureddata seamlessly by:
Using hybrid storage solutions like Elasticsearch or Apache Solr, which support indexing unstructured data while linking it to structured metadata for easy searchability.
Employ data lakes such as AWS Lake Formation or Google Cloud Storage, which are optimized for managing diverse data types.
By linking unstructured data (e.g., a scanned document) to its structured counterpart (e.g., extracted JSON), we can create a more cohesive data ecosystem. We achieved this by using:
Metadata tagging: Assign metadata to unstructured files to connect them with relevant structured data.
Graph databases: Tools like Neo4j help model and visualize relationships between data types effectively.
AI algorithms can automate the organization of unstructured data by analyzing its content, extracting meaningful patterns, and generating metadata or structured outputs. This ensures that even raw, unorganized data can be utilized for search, analytics, and insights.
A robust storage system will be:
Scalable: Cloud-based services with auto-scaling capabilities can handle growing data volumes.
Secure: Use encryption for sensitive data, implement access controls, and comply with data privacy standards (e.g., GDPR, HIPAA).
By combining these approaches, we ensure that structured and unstructured data are stored efficiently, remain accessible for queries, and provide a foundation for advanced functionalities like semantic search and dynamic output formatting.
Semantic Questions
Semantic searchis revolutionizing the way we interact with data by focusing on the meaning behind queries rather than just matching keywords. With Gen AI OCR, we enable users to ask semantic questions and receive contextually accurate responses.
Gen AI OCR combines extracted text with advanced NLP techniques to:
Analyze the intent behind user queries.
Understand synonyms, related terms, and contextual relevance.
Detect entities, sentiments, and relationships within the data.
With language models, semantic search transcends linguistic barriers, enabling queries in multiple languages while interpreting their intended meaning accurately. By enabling semantic questioning, we bridge the gap between human language and machine understanding, empowering users to interact with data naturally and efficiently.
JSON To Desired Template
One of the key benefits of using Gen AI OCR is the ability to present search results in a format that aligns with the user's specific needs. This flexibility transforms raw data into meaningful, actionable insights. Our system leverages AI to:
Identify key data points within the search results.
Match these data points to the placeholders in the chosen template.
Dynamically populate the template while maintaining the integrity of its design.
To meet specific organizational needs templates can include logos, headers, footers, and custom styles. Results are formatted to comply with brand guidelines or regulatory standards.
Users have the freedom to choose output formats like:
JSON for integration with other systems.
XML for integration with other systems.
Excel for detailed analysis.
By re-structuring search results into desired templates, Gen AI OCR not only retrieves data but transforms it into an actionable format that saves time and enhances decision-making.
Custom Output Template Into Preferred File Format
*Search for documents by meaning
*Free-form output on demand
With Gen AI OCR, users have the flexibility to customize how extracted and processed data is presented. Whether you need a specific file format or a tailored template, our system adapts to meet your requirements, ensuring data outputs are both functional and user-friendly.
Why Enterprises Choose Gen AI OCR
Industry-Tuned AI: Pre-trained models for pharma, logistics, accounting & many other sectors
Multi-Layer Compliance: GDPR, CCPA, HIPAA, ISO
Smart Integration: API-first design connects to mainstream and custom ERPs.
