Document Management System with AI-Powered Search for Scanned Documents
Document Management System with AI-Powered Search for Scanned Documents
Enhancing Document Search and Management with AI
The Ask
A client managing scanned documents needed a solution that could provide efficient search capabilities for the documented data. Challenges faced by the client:
Large volumes of scanned documents with limited search capabilities
Need to enable efficient search of both text and non-text data (e.g., images, diagrams)
Error-prone and time-intensive manual document processing
Our Solution
01.
AI-Powered OCR Engine
Built a document management system using AI-driven Optical Character Recognition (OCR) for scanned documents
01.
AI-Powered OCR Engine
Built a document management system using AI-driven Optical Character Recognition (OCR) for scanned documents
01.
AI-Powered OCR Engine
Built a document management system using AI-driven Optical Character Recognition (OCR) for scanned documents
02.
Integrated NLP and Computer Vision Models
Enabled search across both text and non-text data using Natural Language Processing (NLP) and computer vision models
02.
Integrated NLP and Computer Vision Models
Enabled search across both text and non-text data using Natural Language Processing (NLP) and computer vision models
02.
Integrated NLP and Computer Vision Models
Enabled search across both text and non-text data using Natural Language Processing (NLP) and computer vision models
03.
Automated Indexing and Categorization
Deployed automated tools for document indexing and categorization, streamlining the search process
03.
Automated Indexing and Categorization
Deployed automated tools for document indexing and categorization, streamlining the search process
03.
Automated Indexing and Categorization
Deployed automated tools for document indexing and categorization, streamlining the search process
04.
Tech Stack Employed
Python, Tesseract OCR, Elasticsearch, OpenCV, and NLP models
04.
Tech Stack Employed
Python, Tesseract OCR, Elasticsearch, OpenCV, and NLP models
04.
Tech Stack Employed
Python, Tesseract OCR, Elasticsearch, OpenCV, and NLP models
05.
Components Used
OCR engine, NLP models, Computer Vision modules, Elasticsearch for indexing and search, and custom user interfaces
05.
Components Used
OCR engine, NLP models, Computer Vision modules, Elasticsearch for indexing and search, and custom user interfaces
05.
Components Used
OCR engine, NLP models, Computer Vision modules, Elasticsearch for indexing and search, and custom user interfaces
Outcomes
01.
Enhanced Search Capabilities
Significantly improved search functionality, allowing for easy access to both textual and non-textual data
01.
Enhanced Search Capabilities
Significantly improved search functionality, allowing for easy access to both textual and non-textual data
01.
Enhanced Search Capabilities
Significantly improved search functionality, allowing for easy access to both textual and non-textual data
02.
Increased Efficiency
Automated document processing reduced manual effort and error rates, speeding up the workflow
02.
Increased Efficiency
Automated document processing reduced manual effort and error rates, speeding up the workflow
02.
Increased Efficiency
Automated document processing reduced manual effort and error rates, speeding up the workflow
03.
Improved Accessibility
Made critical information more accessible with powerful search and categorization features, optimizing overall document management
03.
Improved Accessibility
Made critical information more accessible with powerful search and categorization features, optimizing overall document management
03.
Improved Accessibility
Made critical information more accessible with powerful search and categorization features, optimizing overall document management
Outcomes
01.
Enhanced Search Capabilities
Significantly improved search functionality, allowing for easy access to both textual and non-textual data
02.
Increased Efficiency
Automated document processing reduced manual effort and error rates, speeding up the workflow
03.
Improved Accessibility
Made critical information more accessible with powerful search and categorization features, optimizing overall document management
Knowledge Centre
Case Study
Legal Tech
Document Management System with AI-Powered Search for Scanned Documents
Case Study
Legal Tech
Data Minimization and Compliance for Privacy and Security
Case Study
Legal Tech
Patent Analytics in a Disconnected Environment
Case Study
Legal Tech
Automated filling of Application Data Sheets (ADS) for National Stage USPTO Filing
Case Study
Legal Tech
Data Breach Incident Reporting for a Leading ALSP
Case Study
Legal Tech
AI-Powered Deal Document Generation
Knowledge Centre
Case Study
Legal Tech
Document Management System with AI-Powered Search for Scanned Documents
Case Study
Legal Tech
Data Minimization and Compliance for Privacy and Security
Case Study
Legal Tech
Patent Analytics in a Disconnected Environment
Case Study
Legal Tech
Automated filling of Application Data Sheets (ADS) for National Stage USPTO Filing
Case Study
Legal Tech
Data Breach Incident Reporting for a Leading ALSP
Case Study
Legal Tech
AI-Powered Deal Document Generation
Knowledge Centre
Case Study
Legal Tech
Document Management System with AI-Powered Search for Scanned Documents
Case Study
Legal Tech
Data Minimization and Compliance for Privacy and Security
Case Study
Legal Tech
Patent Analytics in a Disconnected Environment
Case Study
Legal Tech
Automated filling of Application Data Sheets (ADS) for National Stage USPTO Filing
Case Study
Legal Tech
Data Breach Incident Reporting for a Leading ALSP
Case Study
Legal Tech
AI-Powered Deal Document Generation
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.