Our Data Aggregation process involves preparing, combining and enriching data from various sources with Machine Learning/Natural Language Processing(NLP) algorithms. Combined data from various sources can be utilized for predictive analytics with AI/ML Solutions.
Data Aggregation
OCR Solution
Our Solution uses advanced Computer Vision algorithms to improve the quality of images. It exploits human perception of reading text and interpretation of text regions from complex layouts.
In particular, algorithm uses concept of text homogeneity, proximity of such image blobs with similar morphological and texture features. Such pattern in the local regions are combined across length and breadth of a page to separate text and other regions. AI based algorithms at end identifies objects like logos and faces and generate texts.
Validation of Extracted Data
(Form Fields)
Validation of Extracted Data
(Table Fields)
Validation of Extracted Data
(KYC Fields)
Automated Data Extraction
Our Solution analyses document structure at a deeper level to understand every information in physical and logical context of its surroundings. Detailed relations are encapsulated and trained using Deep Learning Techniques. That makes our solution learn with few annotated documents. It can handle both structured and unstructured documents.
Note: Proof of Concepts(POC) are ready for further developments based on Client's requirements
