ADIC 0.9.2

ADIC stands for Automatic Document Image Classification, which is a system developed by karme to automatically classify and categorize document images.

The purpose of ADIC is to streamline document management processes by automatically organizing and tagging document images based on their content and characteristics.

ADIC uses advanced machine learning algorithms to analyze the visual features, text content, and layout of document images. It then applies a classification model to predict the appropriate category for each document.

Yes, ADIC is designed to handle various types of document images, including invoices, receipts, contracts, forms, and more. It is adaptable to different domains and industries.

Yes, ADIC requires an initial training phase where it learns from a labeled dataset of document images to create a classification model. The trained model is then used for automatic classification.

Yes, ADIC provides APIs and integration options that allow it to be seamlessly integrated into existing document management systems or workflows.

Yes, ADIC supports multiple languages for text recognition and classification. It can process documents in various languages, enabling global adoption.

The accuracy of ADIC depends on the quality of the training data and the complexity of the document types. With proper training and fine-tuning, ADIC can achieve high levels of accuracy.

Yes, ADIC is designed to handle large volumes of document images efficiently. It can scale horizontally to meet increasing demands and perform classification in near real-time.

Yes, ADIC provides customization options to adapt to specific requirements and document types. It allows defining custom categories, feature extraction methods, and training configurations.