DEPS Document processing, data extraction software
DEPS
Solution Overview
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Customer Problem
Document management is a time-consuming, error-prone, yet critical task for many sectors, and this task still requires significant manual efforts for a majority of companies. As of now, unsearchable and unstructured data accounts for 80% of the enterprise document flow and results in wasted millions on manual document processing. Manually extracting data not only takes time but hinders data analysis as well.
EPAM Solution
DEPS is an AI-powered document processing solution designed to streamline business operations. More than just data extraction, the platform leverages advanced AI technologies to simplify and optimize document workflows. It enables users to create custom workflows, accurately extract key information from scanned or digitized documents, validate extracted data for enhanced reliability, and transform it into structured formats for seamless searchability and accessibility.
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Key Differentiators
Cloud and on-premise Deployment
Deployed as SaaS or in Client’s cloud, combining services from different providers for optimized resource utilization
Tools & Models Selection
Flexibility to use proprietary and external tools/models for diverse customer needs and unique requirements
AI-Powered Document Processing
Advanced AI automates complex workflows using classification, extraction and multi-layer validation with high efficiency
Benefits
Fast feasibility assessment for business
Feedback for various documents without deployment to client’s environment
Cost efficiency
Various pluggable open source components ensure optimal customization and cost
End-to-end business flow
Platform has services for full document lifecycle, from upload to archiving
Speed of deployment
Easy integration with client’s ecosystem in cloud, on-premise or hybrid
High operation accuracy
DEPS includes continuously improving AI components to achieve maximum accuracy
Democratization in use
UI portal for labeling, review, model improvement via continuous feedback
Features
- AI-Powered Data Processing: Leverage advanced AI technologies, including Language Learning Models (LLMs), to quickly and accurately process both structured and unstructured documents.
- Customizable Data Extraction: Configure and tailor extractors for specific fields in documents, enabling the system to meet unique business requirements with flexibility and precision.
- Multi-Format Document Support: Seamlessly process various document types, including PDFs, Word documents, and scanned files through OCR-powered pipelines.
- Automated Workflows: Streamline operations with automated validation, cross-field checks, and business rule enforcement to minimize manual intervention and errors.
Use Cases
Extraction Data from Daily Drilling Reports
Problem Statement
Our clients' manual process of extracting data points in different formats and from different vendors was time consuming and prone to error.
Solution Proposed
- A single .pdf file can contain multiple DDRs, which need to be split.
- Vendors all have their own DDR formats, layouts, and field names that must be reconciled.
- Even a single vendor may have several different formats.
Achieved Results
- Train an ML-based model to find and extract required data in natural language.
- Recognize synonyms to unify extracted data across all vendor formats.
- Evaluate the confidence level for each extraction field.
- Validate extraction data with business rules and submit it automatically.
- Export output data in both automation and human-readable formats.
Extraction Key Data from Legal Documents
Problem Statement
Our client, a large law firm, was looking for a reliable, cost-effective way to extract and digitize data from various document types (judgments, tax records, liens, etc.) to use in compiling orders for their clients. Extracting data manually is costly, error-prone, and tedious.
Solution Proposed
- Over 50 distinct types of documents varied by geography and age.
- Over 50 distinct types of documents varied by geography and age.
- Documents provided in compound packages requiring splitting and classification.
Achieved Results
- Custom ML models that automatically extract data.
- A classification model to define document type.
- Optimized use of a paid OCR engine.
Questions & Answers
What types of documents can DEPS process?
DEPS can process file formats such as PDF, DOCX, JSON, XML, Excel, Images, and Emails.
What document languages are supported?
DEPS supports processing engines that can handle documents in various languages
Does DEPS support creating custom document types and fields?
Yes, DEPS makes it easy to customize document types and fields. Using the built-in Agentic Chat, users can create new document types and fields simply by interacting with the system in natural language.
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Integrates with
Tesseract
AWS Services
Azure Services
Google Cloud Services
Open AI
Tech Requirements
Сhrome 92+/Edge/Firefox/Safari
industries
categories
license type
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