DocuSense
Intelligent Document Analyser Engine
An intelligent document analyser engine uses AI and machine learning to automatically detect unstructured data or extract documents and simple rule-based configurations. You can integrate different products into its workflow to automate various documents, processes and data formats, such as tables, text flow and multi-line data. An intelligent document analyser engine is a fundamental AI-based feature that identifies associated core information in any document or content and eases your understanding of various processes.
Why We Need DocuSense
Today, you can use DocuSense in organisations, businesses and all varieties of products and services. You need DocuSense to:
- Extract data encapsulated in the most demanding, complex documents. These complex documents can be layouts, documents with a noisy background, data based on multiple languages or documents with a contextual relationship.
- Carry out human-like processing, including comprehending technical or engineered drawings or images, handwriting, pictures, difficult-to-understand tables and graphs.
- Comprehend unstructured data that involves:
- Any new addition to the existing data
- A variation in the overall structure of the document
- Data changing locations
- A modification in the source of layouts
What Makes It Intelligent?
There are several aspects and functions of DocuSense that make it intelligent:
Pre-processing
Pre-processing functions of DocuSense include binarisation, noise reduction, equalisation, etc. Natural Language Processing (NLP) helps DocuSense with unsupervised and supervised learning, Google vision and Optical Character Recognisation (OCR). One of the best features is identifying key entities before extracting the information. It is thorough with brands, companies, time, events and technical terms and performs its functions properly.
Data classification
The DocuSense classification engine is equipped to differentiate topics within a domain and recognise documents and other intelligence-based techniques. Platform can differentiate between funds vs cash, part vs component, etc., and identify logic, regular expressions, rules and scripts using machine learning.
Advanced validation
DocuSense effectively helps in paper document processing, recognising patterns and forming meta content, such as taxonomy, ontology, etc. It has Human-in-the-Loop Validation which helps in document capture, image processing, Optical character recognition (OCR) and natural language processing (NLP) that accelerates data detection using techniques such as sentiment analysis, part-of-speech tagging, named entity tagging and feature-based tagging.
Decrypt large amounts of dataÂ
DocuSense can parse structured and unstructured data and convert it into actionable information and end-to-end automated document-centric business processes.
Without a solution like DocuSense, the automation process would require workers to read the documentation and extract the data manually. You need the intelligent data processing Intelligence and AI-enabled automation to scale. Platform is a simple, non-invasive, easy to integrate and widely used tool in all industry and business functions that help in automating a company's business processes.
Use Cases
Mortgage banks have become more efficient with a massive improvement in decision-making and logic using robotics and AI. With the introduction of AI technologies such as DocuSense, mortgage banks have acquired efficiency and velocity in the application, invoice, receipt, processing, loan composition, services, underwriting, credit report and recovery.
DocuSense helps companies automate their procurement cycle, which is one of the most extensive and valuable business processes. It helps create, validate and maintain invoices, receipts and documents in various formats and convert unstructured data into readable and understandable structured data.
The commercial banking process involves automating financial documents to issuing commercial mortgages, preventing strict money laundering and meeting customer verification requirements, making it ideal for DocuSense automation. It eliminates the process of repeating the same steps over and over again. Whether it is the automation of the commercial mortgage loan process, automated money laundering prevention, or knowledge and verification of customer automation, DocuSense provides its services.
DocuSense automates paper-based order processing with intelligent document processing, and it helps to transfer data in a structured format to production/order dispatch, thus speeding up the processing. After it is transferred to the accounts receivable department, DocuSense helps with the invoicing that can be shipped with the ordered item.
DocuSense helps convert large amounts of medical R&D data into a structured format and integrates it with the Pharma enterprise ERP. It helps automate the patient onboarding process, billing, enabling medical practice checks and managing records such as forms, test results, medical reports, etc., and stores them in a centralised cloud system. Seamless conversion of health and medical records to electronic formats helps maintain and analyse them online to provide better care.
How Enterprises Benefit from DocuSense
DocuSense can help organisations improve operational efficiency by smoothly transforming unstructured data into structured documents and making them available to users.
The AI platform provided by RecoSense is an integrated document processing console that helps in the automation and validation of documents. It enables you to mitigate guesswork, smoothen the operational efficiency and maintain data accuracy and compliance.
It helps make your data even more useful by validating and improving the information analysed and comparing the enterprise’s vital information with entities on the Web to search for discrepancies.
DocuSense is built for businesses and meets corporate compliance and security standards. It helps organisations improve the accuracy of document processing while ensuring human validation that enhances accuracy and deciphering forecasts.
It is more like a self-service for business users, including load, training and execution methodologies. DocuSense helps validate your documents and ensures the data is correct and compliant.
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.
Your business doesn’t require costly upgrades. Instead, it needs a powerful workflow like RecoSense DocuSense to enhance document extraction and maintenance. You can now speed up a digital conversion with document automation to handle non-automated and non-structured documents.
Other benefits of automating documentation are speedy scaling of document processing operations and data acquisitions, safe and reliable document processing, and building AI to learn and improve business operations.
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.
Technologies UsedÂ
- Natural language Processing (NLP)
- Machine Learning (ML)
- Computer Vision
- Optical Character Recognition (OCR)
- Neural Networks
Types of Data Extracted
• Complex tables – DocuSense comprehends difficult-to-understand data, especially in a table or statistical format. It helps decipher the symbols, context and drawings, besides graphs and statistical pictures.
• Handwritten documents – Some handwritten documents can be complex or too large to process. DocuSense helps understand the written material and is well-equipped to comprehend several languages.
• Multiple languages – whether it is in the written form or a different dialect, DocuSense comprehends it all.
• Stamps – DocuSense is empowered to decipher the stamps based on the seals imprinted on them, logos, pictures, banners and images.
• Elements – Platform can construe various elements like noise in the background, different shapes or colours in the document, orientation or size-related elements, etc.Â
• Graphics and symbols – DocuSense simplifies data with various symbols, drawings or graphics. Image recognition and analysing information is its forte.
• Summary extraction and meta tags – DocuSense uses its AI intelligence to read and acquire data by capturing context information, understanding the crux and gist of a given piece and analysing language well.
• Invoice and receipt – DocuSense learns and adapts to variations and understands excerpts from standard and custom forms of invoices and receipts.
Â
Schedule a demo of RecoSense's DocuSense today and see the benefits your organisation will gain!
Latest Posts
How to Spot Fake Bank Statements
Top Trends in Investment Banking

Leveraging AI for Advanced Lending Fraud Detection
