Future Capabilities
Last updated
Last updated
The subnet will soon integrate a high-performance, open-source OCR engine that offers text extraction capabilities comparable to top-tier OCR solutions from Azure, Google, and AWS. This engine will allow for accurate text extraction from scanned documents, images, and other media formats, addressing a broad spectrum of document digitization needs. Decentralized access to this OCR engine is expected to enhance processing speed and reduce costs, making it an essential component for users requiring fast and reliable document digitization.
The planned Document Classification feature will enable the automatic identification and categorization of document types, such as receipts, forms, contracts, and letters. Using sophisticated classification algorithms, this feature will streamline document management by reducing manual sorting and organization efforts. Once available, Document Classification will support efficient data organization and enhance workflow automation within document-heavy environments.
Entity Detection will allow the subnet to extract essential information, including names, addresses, phone numbers, dates, and monetary values, from various documents. By precisely identifying and capturing these critical data points, this feature will support applications such as invoicing, record-keeping, and customer data management, making data extraction more accurate and relevant for downstream processing.
This feature will enable the subnet to detect and capture highlighted or encircled text in documents. Such text often indicates critical information, such as user-provided responses or key contractual terms, making this feature valuable for targeted data extraction. By identifying highlighted or circled text, the subnet will enhance its ability to capture contextually significant information.
Once operational, the JSON Data Structuring capability will automate the conversion of extracted document data into JSON format, streamlining data review and integration. This structured output will enhance interoperability with various databases and systems, enabling efficient data handling and reducing the complexity of integration for users.
