OWLvault

Extracting the data within various records are organized and stored in the OWLvault as either structured or unstructured data providing a flexible, scalable, and agile framework for customized data storage.  This extracted data is ready to be queried and stored in custom databases.

OWLimport (ETL - Extract - Transform - Load)

OWLimport provides the ability to build customized databases to store structured data that can be queried within OWL and viewed through all of the OWL Data Visualization modules. Users Extract and Transform their organizations data and Load into OWLvault using XLS, CSV or JSON formats.

OWLvault Single Record Entry

Similar to OWLimport Users can load one record at a time into their OWLvault databases.

OWLxtract

OWLxtract is a service embedded in OWLdocs for extracting text and data from documents. OWLxtract uses machine learning algorithms to analyze and extract content such as text, forms, and tables from scanned documents, PDFs, and images. Here are key features and aspects of OWLxtract:

Text Extraction

OWLxtract is designed to extract text content from various types of documents, including scanned images, PDFs, and other files.

Structured Data Extraction

It goes beyond simple text extraction and can identify and extract structured data such as forms and tables.

Form and Table Parsing

OWLxtract is capable of parsing and extracting information from forms and tables within documents, providing structured data output.

Automatic Document Classification

OWLxtract can automatically classify documents into predefined categories, aiding in organizing and processing large volumes of documents.

Support for Multiple Document Formats

It supports a variety of document formats, including PDFs and common image formats, making it versatile for different types of documents.

OWLidentify

OWLidentify is OWL's image and video analysis service embedded inside OWLdocs. OWLidentify uses machine learning and computer vision to analyze and interpret visual content. Here are key features and aspects of OWLidentify:

Facial Recognition

OWLidentify can identify and analyze faces in images and videos, including detecting facial landmarks, emotions, and attributes like gender and age.

Object and Scene Detection

It can recognize and identify objects, scenes, and activities within images and videos, providing information about the content present.

Text Detection

OWLidentify is capable of detecting and extracting text from images and videos - OCR (Optical Character Recognition).

Celebrity Recognition

OWLidentify connected to an external data source can identify well-known personalities or celebrities within images.

Pathing and Analysis

OWLidentify can track the movement and path of objects or people within a video, providing insights into the temporal dynamics of the visual content.

Custom Labels

Users can train OWLidentify to recognize custom labels specific to their use case, enhancing its applicability to industry-specific needs.

Face Comparison and Similarity

It allows for comparing faces and determining the similarity between them.

Content Moderation

OWLidentify offers content moderation capabilities to identify and filter inappropriate or unsafe content in images and videos.

Streaming Video Analysis

It supports real-time analysis of streaming video.

Security and Compliance

OWLidentify incorporates security features, and OWL adheres to compliance standards to ensure data privacy and protection.

OWLdetect

OWLdetect analyzes fraud and anomalies within a structured OWLvault database and involves employing various techniques to identify irregularities, suspicious patterns, or fraudulent activities in the data. This process is crucial for detecting and preventing fraudulent behavior or finding patterns in the data.