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IDP SOLUTION
Intelligent Document Processing
Myndnova's AI platform empowers businesses to enhance efficiency and achieve measurable impact through intelligent, human-centered AI solutions.
Automated Title Recognition for Fast Document Search
Automatically recognizes title pages and body sections, allowing users to locate relevant documents quickly from hundreds of pages. Myndnova's technology mimics human-like recognition to ensure efficient document management and search capabilities.
Automated body Recognition for Fast Document Search
Accurately extracts data from complex, unstructured tables, including nested and multi-page tables, providing structured data that's easy to analyze. Unlike traditional OCR, Myndnova's IDP handles irregular table formats with high precision.
Focused Key Data Extraction
Removes redundant header and footer data, collecting only the essential content. This enables faster processing and enhances data relevance, allowing users to focus on critical information without distractions.
Efficient Keyword Search and Result Organization
Easily search for specific terms across multiple documents. The system organizes all instances by paragraph, giving users a streamlined view of relevant information within large document sets.
Automated Title Recognition for Fast Document Search
The system automatically recognizes title pages and identifies the title area. This allows users to search and locate specific documents from hundreds of pages in seconds. Unlike traditional systems that lack human-like title recognition, Myndnova's technology ensures efficient document management and quick access.
Focused Key Data Extraction
Removes redundant header and footer data, focusing only on essential content. This enables faster processing and enhances data relevance, allowing users to concentrate on critical information without unnecessary distractions.
Advanced Recognition of Unstructured Tables
The system has advanced technology for extracting data from unstructured tables, including complex tables with merged cells, nested tables, and tables split across pages. Unlike traditional OCR, which struggles with irregular tables, Myndnova's IDP solution achieves high accuracy with even the most complex table structures.
Efficient Keyword Search and Result Organization
Allows users to search for specific terms across multiple documents. The system organizes all instances by paragraph, providing a streamlined view of relevant information within large document sets.
Document Viewer with Quick Navigation to Relevant Sections
The document viewer quickly locates specific sections, allowing users to view the exact page and paragraph related to their search query. This enhances productivity by offering immediate access to original document pages and improving readability and clarity.
Paragraph Grouping for Targeted Content Access
By grouping similar content paragraphs, Myndnova's solution improves efficiency by enabling relevant personnel to quickly review only the sections they need. For instance, a single PDF with safety and fire protection sections can be segmented, allowing each department to view only the relevant content without scrolling through the entire document.
