# What is the Document Understanding Subnet? Statistics reveal that a significant portion of documents still exist in scanned or image-based formats, creating barriers to efficient digital processing and data extraction. With increasing demand to derive valuable insights from these complex documents, the Document Understanding Subnet emerges as a transformative, decentralized solution designed for advanced document comprehension. Built on the Bittensor infrastructure, this subnet leverages a multi-model architecture that integrates vision, text models, and OCR engines. By uniting these technologies, it sets a new benchmark for document understanding, delivering an accessible, open-source alternative to proprietary platforms. The Document Understanding Subnet provides high accuracy, scalability, and versatility, empowering businesses and individuals to unlock valuable information embedded in a wide range of document formats. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://tatsu.gitbook.io/document-understanding-whitepaper/what-is-the-document-understanding-subnet.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.