We sort documents by type, read and upload them, structure each document, turn documents into a table with key data and compare them to each other. We do complex post-processing (collation, bundles, intelligent search).
A non-technical user can easily add new document types for free and train them on a small number of examples.
Классификация Разбивка на отдельные документы
Извлечение данных из документов
Проверка контрольных правил Вывод данных и документов через UI
Исправления сотрудников улучшают модели
Classification Splitting into separate documents
Collation, bundles, business rules verification, intelligent search
- Defining the type of document - Splitting files into separate documents - Changing the page order
- Extracting data from documents without templates - Supporting unstructured documents and complex tables
Storing and Searching
- Documents are easily found by requisites - Sorting and filtering
Editing the Document Type
- Support of list fields and integration with directories - Post-processing formulas can be added (classification, intelligent search)
- Creating formulas for performing mathematical and other operations - Formulas can consist of constants, post-processing, operators (logical and mathematical), functions
Formulas for Intelligent Search
Formulas for intelligent document search by requisites
Document Comparison (Differences)
- Showing differences between documents, including scans and draft documents - Creating versions of documents from the incoming flow
Document Comparison (Matches)
Showing matches between documents, including different formats.
Document bundles are automatically formed. The user can manually correct them.
Marking the same field over multiple documents, which increases verification by 2-3 times.