Developer builds single Rust binary to parse documents locally without cloud or JVM

A developer frustrated with existing document-parsing tools built DeepDoc, a static Rust binary that converts common file formats into clean Markdown without any external dependencies. The tool was created to address a key limitation in RAG pipelines: most popular solutions either require a JVM runtime, heavy Python environments, or upload documents to third-party cloud servers. DeepDoc runs entirely on-device, making it suitable for air-gapped environments such as banks, hospitals, and law firms where data cannot leave the local machine. Version 0.1 supports thirteen formats including docx, pptx, xlsx, epub, pdf, and several OpenDocument types, processing them through a unified internal model before outputting Markdown, JSON, or plain text. The binary can recursively process entire folder structures in parallel and produces deterministic output, meaning the same input always yields the same result.