docBrain product overview
Explore the platform's features and components. Learn how to train your own AI modules or use existing document analysis capabilities.
docBrain is a results-oriented and technology-driven product initially created in-house by Moonoia to further enhance and harmonize its document processing solutions. docBrain improves recognition accuracy and production performance, succeeding where traditional OCR technologies are failing: at automatically recognizing complex content.
docBrain offers a platform solution and workflow covering the complete spectrum from concept/experimenting to production/deployment.
docBrain also offers readily available proven models and pre-existing document analysis capabilities. These are the results of collaborative efforts between Moonoia, its partners and customers, and the open source community. Together, they consolidate years of capture expertise to bring very advanced data extraction and document analysis capabilities.
A ready-to-use model that predicts the existence of text instances on documents, extracts the data and converts these instances into plain text
For cursive and/or hand-print. Outperforms human-led reading and validation. Trained on millions of handwritten documents.
Convolutional neural networks (CNNs) designed to optimize the analysis of images from datasets via self-adjustment layers.
Classify entities into pre-defined categories such as names, locations, amounts, time intervals, specialized terms and other product terminology.
Generic form analysis model that recognizes and classifies documents based on their layout.
Based on the Advanced OCR ready-to-use model for text segmentation, this feature allows accurate extraction of non-latin characters and character strings.
Although docBrain is internally a very complex software product, it is extremely simple to use by a trained user. Presenting a friendly interface, docBrain shields most of the complexities related to machine learning and, besides some configuration and parametrization, it requires no programming.
docBrain runs in a private (Google) cloud and requires no capital expenditure in hardware or software infrastructure. The customer only needs a client device (desktop, laptop, tablet, smartphone), a browser, a network connection and the docBrain-provided APIs for data transfer from and into the customer's business systems.
Each customer gets his operating space in the Google cloud, completely private and separated from other customers. Customer documents (images and data) are invisible to any other parties and access is based on login names, passwords and two-factor authentication (if so desired), while all usage is actively traced, tracked and auditable.
Automatic backup and restore facilities are provided in the cloud to ensure business continuity and data integrity. Several modes are possible from real-time mirroring to backups being encrypted, vaulted or copied to the customer operating environment.
docBrain shields the complexity of machine learning so you do not have to become proficient in AI. Contact us for a demo to learn more about the docBrain architecture.