About Project
Artificial Intelligence has helped us derive effective automated solutions that eliminate the need for labor-intensive invoice management. Companies must look forward to new solutions to tackle the modern-day problems of scale, cost reduction, accuracy, and compliance. Gone are the days of manual invoice processing, with all its tedious processes prone to human error.
Internet Technology Industry
BusinessAsia-Pacific
Location
Business Goal:
Brainvire has streamlined a cutting-edge AI-enabled invoice solution businesses can leverage to streamline invoice data extraction and management. Entire invoice management can be easily automated and integrated with ERP systems, including custom invoice data extraction, automated billing invoices, and more.
Project Highlights
- Optical Character Recognition
- Invoice Management
- ERP Integration
- Automation
- AI/ML Development Solution
- Digital Transformation
UI/UX Enhancement
Key Challenges
Insufficient Data
The insufficiency of the data posed a significant challenge as it hindered the model’s ability to capture the complexity of real-world scenarios.
Compromised Quality
The existing data revolved around images and documents with poor quality and resolution, further hindering development.
Variability and Unstructured Data
Brainvire faced the variability of various structured and unstructured invoice formats, which increased complexity.
Reduced Accuracy
Mitigating the adverse effects of reduced accuracy ensures that the outcomes remain within acceptable bounds.
Our Solutions
Accurate Data Extraction
Brainvire streamlines data augmentation for invoice extraction, involving generating variations of invoice images through rotation, flipping, scaling, adding noise, or changing lighting conditions. The solution will help train machine learning models to recognize and extract key information accurately from invoices, improving the model’s performance and robustness.
Enhanced Quality with Paddle OCR Toolkit
Paddle OCR is a versatile toolkit for extracting text from images or documents. With its pre-trained models and algorithms, it accurately detects and recognizes text in multiple languages and formats. Users can easily integrate OCR functionalities into their document scanning and content analysis workflows.
Assigning Structured Information Processing
Brainvire enabled functions such as Entity Extraction to identify names of people, organizations, or places in the text. Categorizing recognized entities based on their meaning. Information Retrieval enabled extracting entities to aid search and recommendation systems. Entity Linking recognized entities to external databases for context.
Enhanced Accuracy With A Standardized Approach
We used regular expressions to remove special characters and digits, leaving only alphabetic characters.
Our Approach
Initiation
Training
Integration
Maintainance
Technology Stack
Front-end tech
HTML
CSS 3
ReactJs
Back-end tech
HTML
CSS 3
ReactJs
Server
HTML
CSS 3
ReactJs
Project Management
HTML
CSS 3
ReactJs
Framework
HTML
CSS 3
ReactJs
Emerging Tech
HTML
CSS 3
ReactJs
Key Results
Boosted Efficiency
Brainvire's automated data extraction model reduced manual effort and processing time significantly.Accuracy Improvement
Brainvire streamlined potent machine learning models and achieved high accuracy, minimizing errors.Cost Reduction and Scalability
We lowered operational costs by automating repetitive tasks and enabled the handling of large volumes of invoices.Improved User Satisfaction
We enhanced workflow efficiency to pave the way for future advancements and integrations.
Similar Project
Streamline Invoice Extraction Model With Us
Automation invoice extraction significantly and reduce processing time by harnessing the power of AI with us