The document-centric AI platform

Future-proof data extraction

See what others cannot

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 AI recognition

Conceive, consume, and do everything in between

docBrain offers a platform solution and workflow covering the complete spectrum from concept/experimenting to production/deployment.

docBrain diagram

docBrain product overview

Explore the platform's features and components. Learn how to train your own AI modules or use existing document analysis capabilities.

Embedded document-centric knowledge

docBrain also offers readily available proven models and pre-existing document analysis capabilities consolidating years of collaborative efforts between Moonoia, its partners and its customers.

Advanced OCR

A ready-to-use model that predicts the existence of text instances on documents, extracts the data and converts these instances into plain text.

Handwriting recognition

For cursive and/or hand-print. Outperforms human-led reading and validation. Trained on millions of handwritten documents.

Image enhancement

Convolutional neural networks (CNNs) designed to optimize the analysis of images from datasets via self-adjustment layers.

Named entity extraction

Classify entities into pre-defined categories such as names, locations, amounts, time intervals, specialized terms and other product terminology.

Document classification

Generic form analysis model that identifies and classifies documents based on layout and content, decreasing the need for upstream manual classification.

Arabic (un)structured

Based on the Advanced OCR ready-to-use model for text segmentation, this feature allows accurate extraction of non-latin characters and character strings.

Ease of use

Although docBrain is internally a very complex software product, it is 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.

Cloud-based

docBrain runs in a private 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 and connectors for data transfer from and into the customer's business systems.

Privacy by design

Each customer gets his operating space in the 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.

Data safety and security

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.

Under the hood

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.

Are you a data scientist?

Gather your own datasets for custom AI training, monitor training results, test, repeat. Built-in data entry allows exception handling, in-line labelling and reporting, ensuring continuous QA loop, speed, simplicity and productivity.

Are you an integrator?

docBrain is built to enhance automated processes which include anything from mobile capture to RPA software. Quickly create and deploy integrations to SaaS platforms with docBrain's easy-to-use APIs and connectors.

Are you a developer?

docBrain's agile platform empowers developers to easily design, conceive and test machine learning software in any environment.