Document Ingestion Automation
Identify /Classify /Extract /Verify /Transform /Analyze
Background
Every organization, irrespective of its size, continuously receives documents through various channels - physical mail, email, fax, and other digital portals. These documents range from structured forms, like invoices or contracts, to unstructured memos, emails, or hand-written notes. While these documents are rich in valuable data, many businesses, especially SMBs, lack the necessary infrastructure and resources to extract, process, and leverage this information optimally. Traditional methods of manual data extraction not only consume time but also are prone to human errors, leading to financial losses and operational delays.
Objective
Design and implement a comprehensive document processing solution that harnesses the power of AI, OCR, and NLP to automate the extraction, interpretation, and integration of data from a wide range of document types.
Classify
- Automatically identifies the document/form
Extract
- Data is extracted as per the the data contract
Verify
- Human in the loop to ensure accuracy (~99%)
Upload
- Extracted data ingested downstream via API or BOT
Analyze
- Perform validations
- Create insights
Transform
- Data is transformed using the custom business rules as agreed
Challenges that we address
Varied Document Quality
Processing hand-written, poorly scanned, or faded documents.
You can test our supreme capability in our sandbox for free.
Manual Processing
Organizations often struggle with the time-consuming and error-prone process of manually entering data from various documents, leading to inefficiencies and a higher likelihood of inaccuracies.
Volume and Variety of Documents
Handling a large volume of documents of different types and formats can be overwhelming and resource-intensive.
Data Accessibility and Security
Ensuring that the extracted data is easily accessible while maintaining high levels of security and compliance is a significant challenge.
Data Security and Privacy
Ensuring extracted data remains confidential and compliant with regulations.
We use industry best practices while handling data. Our solution is HIPPA compliant as well as takes pride to be part of AWS HITRUST eco-system.
Our Solution for Enhanced Productivity and Accuracy
Cutting-Edge OCR, NLP, and AI-Powered Document Ingestion
Advanced OCR Technology
Our solution employs state-of-the-art OCR to accurately capture text from various document types, significantly reducing manual data entry errors.
Intelligent NLP Capabilities
With NLP, our system understands and processes the context and semantics of the text, enabling more efficient categorization and analysis.
Automated Data Extraction
Automatically extract and process information from documents, reducing manual intervention and speeding up the workflow
High Accuracy Levels
Our solution offers remarkable accuracy in data extraction and processing, minimizing errors and the need for corrections.
Improved Data Management
Organize and manage data more effectively, making it easily accessible for decision-making and analysis.
Time and Cost Savings
Reduce the time and resources spent on document processing, allowing your team to focus on more strategic tasks.
Seamless Integration
Easily integrate with existing systems, ensuring a smooth transition and minimal disruption to your workflow.
Experience It on Our Demo Server
Hands-On Experience
Test our solution on our demo server, where you can see the real-time effectiveness and accuracy of our technology.
Tailored to Your Needs
Experience how our solution can be personalized to fit your specific document processing requirements in the Sandbox environment.
No Cost, No Obligation
Explore these capabilities for free and without any obligation, providing you with a risk-free opportunity to assess the benefits for your organization.
Conclusion
For SMBs, efficiently managing the torrent of incoming documents is crucial. An integrated solution utilizing AI, OCR, and NLP not only automates the data extraction process but also ensures the accuracy and utility of the extracted information, driving better business decisions and enhancing operational efficiency. By integrating human expertise in the loop, this approach offers the best of both worlds – the speed and scalability of automation with the reliability of human judgment.