Invoices are the lifeblood of any business, containing a wealth of crucial information like customer and vendor details, order specifics, pricing, and taxes. The catch? Extracting data from invoices and matching this data from invoices to other documents can be … Read More
Docusense
Intelligent Document Analyser Engine
Harness AI and machine learning for automated unstructured data detection and document extraction. Streamline workflows with diverse product integration, simplifying data formats, tables, and content understanding.
Why We Need
DocuSense
offers a broad spectrum of products and services to organizations, businesses, and other entities. Here are some of the things you cand do with DocuSense:
• Seamlessly extract data from complex documents, including those with intricate layouts, multilingual content, and contextual intricacies.
• Achieve human-like data processing, comprehending technical drawings, engineering visuals, handwritten text, images, and complex tables and graphs.
• Data encompassing:
- Incorporation of new data into existing records
- Alterations in the document's overall structure
- Data relocation within the document
- Modifications in the source of document layouts
What Makes it Intelligent?
There are several aspects and functions of DocuSense that make it intelligent:
Pre-processing
DocuSense pre-processing involves binarization, noise reduction, and equalization. Natural Language Processing (NLP) supports unsupervised and supervised learning, Google Vision, and Optical Character Recognisation (OCR), efficiently identifying key entities such as brands, companies, time, events, and technical terms.
Data classification
DocuSense's classification engine distinguishes topics and utilizes intelligence techniques to recognize documents within a domain. It differentiates between categories like funds vs. cash, part vs. component, employing machine learning to identify logic, regular expressions, rules, and scripts.
Advanced validation
DocuSense streamlines paper document processing, recognizing patterns and creating meta content like taxonomy and ontology. With Human-in-the-Loop Validation, it enhances document capture, image processing, OCR, and NLP to accelerate data detection through techniques like sentiment analysis, part-of-speech tagging, named entity tagging, and feature-based tagging.
Decrypt large amounts of data
Efficiently decode vast data volumes with DocuSense. It seamlessly transforms structured and unstructured data into actionable insights, automating end-to-end document-centric business workflows, eliminating manual data extraction, and facilitating widespread, hassle-free integration for scalable business automation.
Use Cases
How we deliver results
Manufacturing process forms analyser
DocuSense automates paper-based order processing, swiftly transferring structured data to production/order dispatch, expediting the process. It also streamlines invoicing within the accounts receivable department for shipping alongside the ordered items.
Automation of large scale procurement data collection
DocuSense streamlines procurement automation, a critical business process. It efficiently handles invoices, receipts, and documents in various formats while converting unstructured data into structured, comprehensible information for companies.
Financial statement analyser
Commercial banking, from automating financial documents to issuing mortgages and ensuring compliance and preventing strict money laundering, is made efficient with DocuSense. It eliminates repetitive tasks.
Accelerated mortage document processing
Mortgage banks now operate with increased efficiency, thanks to advancements in automation solutions and AI, particularly with solutions like DocuSense. These technologies have enhanced application, invoice, receipt, loan composition, underwriting, credit report, and recovery processes, enabling quicker decision-making and improved logic.
Pharma safety report analyser
DocuSense efficiently transforms extensive medical R&D data into structured formats, seamlessly integrating with Pharma enterprise ERPs. It automates patient onboarding, billing, medical checks, and record management, storing them in a centralized cloud system. This facilitates electronic record maintenance and analysis, enhancing patient care.
Use data to meet customer expectations
Use DocuSense insights to automate and verify data. You will reduce processing costs, enhance your security model and keep your enterprise safe. With DocuSense, you will get more precise insights into your products and services, and you can meet customer expectations better. It makes your business user-friendly with a pre-package document processing automated system.
Technologies Used
NLP
Neural Networks
Computer Vision
Machine Learning
OCR
Types of Data Extracted
Complex tables
Handwritten documents
Multiple languages
Stamps
Elements
Graphics and symbols
Summary extraction
Invoice and receipt
How Enterprises Benefit from DocuSense
Accelerate data decisions
DocuSense enhances organizational efficiency by seamlessly converting unstructured data into structured documents and facilitating user access to the transformed information.
Unified console for document processing
RecoSense's AI platform serves as an integrated document processing console, streamlining document automation and validation. It eliminates guesswork, enhances operational efficiency, and ensures data accuracy and compliance.
Use data to meet customer expectations
Leverage DocuSense insights for automated data verification, resulting in reduced processing costs, an enhanced security model, and increased enterprise safety. DocuSense simplifies your business operations with its pre-packaged, automated document processing system, ensuring user-friendliness.
Enrich data
Docusense enhances the utility of your data by validating and refining the analyzed information. Additionally, it conducts comparisons between the enterprise's crucial data and online entities to identify any discrepancies.
Blend human validation with ML forecasts
DocuSense is tailored for businesses, aligning with corporate compliance and security standards. It elevates document processing accuracy through human validation, contributing to improved precision and predictive insights.
Enterprise-level doc automation
Your business can achieve enhanced document extraction and management without costly upgrades by implementing RecoSense DocuSense. Through document automation, you can expedite the digital conversion process, efficiently handling non-automated and unstructured documents.
How a Document Analyser Functions
Here is a step-by-step process of how the document analyser functions: Context Definition – Content parsing, Line item data points, Code values, Technical terms, Analysis, Company/Orgs, Fields Mapping
Step 1
Upload a document You must analyse a document and integrate it into your workflow.
Step 2
The automatic analysis of data DocuSense classification uses AI algorithms to categorise multi-page documents to get relevant information pages before extraction. It can extract – Element, Summary, Tables, Meta Tags, Symbols, and Handwritten Documents.
Step 3
Data validation, reviews and processing Data is validated using AI-driven techniques after it is extracted. The process can be consistently upgraded and improved through the review and processing stage for better performance. The extraction results improve, and DocuSense helps validate rules, character sets and various dictionaries.
Step 4
Insights & Actions Data is extracted and aggregated in the report or interface to the machine or process. The insights can be - Data points summary, Analytics Dashboards, Dynamic Insights, Action Recommendations, Deviation Report, Anomalies report Once your data is ready, you can further explore the possibility of automatically exporting information to different business needs and workflows as the next step in the DocuSense.
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