Nov 24, 2022
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Service categories
Service Lines
Artificial Intelligence
DevOps
QA and Testing
Web Development
Domain focus
Consumer Products & Services
Other
Programming language
JavaScript
Python
Frameworks
Flask
React Native
Challenge
Alisia is an OCR Detection System developed for organizations, firms, and institutions to manage necessary logs, essential files, and important documents of their employees within a single system. The main challenge behind the app was to design a system to manage multiple organizations’ data and workflow within a single environment and detect and extract meaningful data from users’ documents and to automates the manual data entry process through AI and OCR smart search.
Alisia is an OCR Detection System developed for organizations, firms, and institutions to manage necessary logs, essential files, and important documents of their employees within a single system. The main challenge behind the app was to design a system to manage multiple organizations’ data and workflow within a single environment and detect and extract meaningful data from users’ documents and to automates the manual data entry process through AI and OCR smart search.
Solution
Alisia is Automated File Management System developed using Machine learning algorithms and Optical Character Recognition techniques to help organizations seamlessly innovate their workflows by replacing manual data entry processes with automated processes.
This OCR system has three main end-users; Super Admin, Admin, and the general user. Admin can add multiple users in an organization, multiple users can add multiple projects, and can create multiples file and folders where they can upload their documents. All this is done hierarchically. Above all, a super admin can get full insights into the entire operation. Users can add four types of documents including Invoices, Id documents, and Signatures.
Alisia is Automated File Management System developed using Machine learning algorithms and Optical Character Recognition techniques to help organizations seamlessly innovate their workflows by replacing manual data entry processes with automated processes.
This OCR system has three main end-users; Super Admin, Admin, and the general user. Admin can add multiple users in an organization, multiple users can add multiple projects, and can create multiples file and folders where they can upload their documents. All this is done hierarchically. Above all, a super admin can get full insights into the entire operation. Users can add four types of documents including Invoices, Id documents, and Signatures.
Results
The basic flow of the app is that each organization has its respective admin and users, having their interfaces to manage logs create folders and add files & documents for OCR detection and smart search. Users can add four types and generates editable text format receipts which can be exported in four different file formats i.e XML, JSON, PDF, and CSV.
Users can smartly search documents from the processed file with any text or keywords and get all the files containing it saving up unnecessary time spent in searching and increasing their productivity It aims to help organizations and firm to revamp their workflows and data entry processes.
The basic flow of the app is that each organization has its respective admin and users, having their interfaces to manage logs create folders and add files & documents for OCR detection and smart search. Users can add four types and generates editable text format receipts which can be exported in four different file formats i.e XML, JSON, PDF, and CSV.
Users can smartly search documents from the processed file with any text or keywords and get all the files containing it saving up unnecessary time spent in searching and increasing their productivity It aims to help organizations and firm to revamp their workflows and data entry processes.