// our services
A suite of applications
Imaging & Data Capture
// solutions
Automated document and data capture
The application suite dedicated to the acquisition and digitalization of any tipe of information, data, multimedia content, paper or digital documents.
Specific acquisition processes can be defined for capturing information and documents from any source or channels such as management systems, databases, information flows, network folders, ftp servers or any other general data capture device (scanners, multifunctional devices, healthcare devices, etc).
The information captured can be forwarded directly to the document management system or to any external system.
Scan
Automated bulk scanning and digitalization of paper documents, page split and save file using predefined rules for name composition. Driver support ISIS, TWAIN, KOFAX and special scanner.
Classification
Documents are automatically categorized by analyzing several factors based on appearance and content.
Image processing
Orientation adjustment, removing black borders, improving readability, removing dots, boxes, zone anchor lines.
Anomaly detection
Centralized AI-based anomaly analysis capable of detecting any irregular case determined by the rules set during training.
Optical Recognition
Typed text (OCR), handwritten text (ICR), cursive handwritten text (CHR), optical marker boxes (OMR), and 1D and 2D barcodes (BCR).
Information Validation
Manual validation of extracted or recognized information that did not pass the configured autoverification steps directly on the specific area of interest on the image (enlarged up to 200%)
// Data capture
Fully automated
Fully automated
Acquisition processes
optical recognition 95%
classification 85%
anomaly detection 80%
Manual
Intervention
Automatic
Treatment
// technology index
Document Classification
Document Classification
supported by AI Analysis
Documents are automatically classified based on graphic appearance and content. The classification process is based on the analysis of several factors to determine the category of the document.
- Appearance
- Symbols
- Content
The AI uses machine learning to learn the graphical model of each document category being stored, so it will be able to automatically recognize and catalog any other document belonging to the same type.
The AI is trained to identify recurring symbols or shapes on the image of the sample documents, the real-time analysis process will be able to detect their presence in certain areas and use this information in the automatic classification process.
AI can recognize and extract the content of images and documents and detect specific information or types of content in certain areas, the identification of a content, along with the location, will contribute to the automatic classification process.
// Data capture
Configure customized
Configure customized
acquisition processes
The built-in workflow engine allows you to define custom acquisition processes that can capture information and documents from any external system, data source or device, analyze content, detect and identify any anomalies before forwarding the information into target repositories.
- Optical Acquisition
- Bulk import
- Data recognition and extraction
- Content analysis and classification
- Indexing and metadata creation
- Automatic anomaly detection
- Assisted and manual validation
- Information certification
- File conversion
- Information Export
ML
digitilized documents
K+
processed images/day
%
Activity Automation
%