Docs-Insights Subnet

The Docs-Insights is a decentralized system built for advanced document processing tasks. It combines multiple AI models—including vision models, language models, vision-language models (VLMs), and OCR engines—to accurately understand and extract information from documents. This subnet aims to offer a powerful, open-source alternative to proprietary tools, making document comprehension more accessible and efficient. By delivering key insights with a single click, it significantly reduces the time and effort required for document review.

Key Capabilities:

1. Checkbox and Associated Text Detection - Currently live and operational on SN-84, outperforming industry standards like GPT-4 Vision and Azure Form Recognizer.
2. Highlighted and Encircled Text Detection - Detects and extracts highlighted or circled text segments accurately (Under Development).
3. Document Classification - Automatically classifies documents by type (e.g., receipts, forms, letters). This feature is live on SN-84 and powered by the Donut model, a cutting-edge, OCR-free architecture.
4. Document Parsing - Leverages powerful LLMs to extract key entities like names, addresses, phone numbers, and monetary values. Documents are intelligently segmented into logical sections for improved clarity. Live on SN-84.
5. JSON Data Structuring - Compiles and formats extracted data into a concise, readable JSON file, significantly reducing document review time.