Local Document OCR & Parser
Parse PDFs, Office files, images, and scanned documents locally for offline document understanding in DeepSeek Harness.
Project overview
dsh-docs dsh-docs gives your DeepSeek Harness agent real document intelligence — entirely on your own machine. Hand it a PDF, Word, Excel, or PowerPoint file and get back clean Markdown, plain text, or structured JSON; hand it a scanned page or image and a fully offline OCR pipeline reads it for you. No Docker, no HTTP service, no API keys, and no document ever leaves your disk.
It ships a pinned, self-contained Python + Xberg runtime with offline Tesseract language data (English and Simplified Chinese), delivering complete PDF/Office/OCR coverage on Windows x64 out of the box. The native Xberg Node binding serves as a lightweight non-OCR fallback on any platform, and every file read stays confined to folders you explicitly authorize.
The published package and plugin id use the dsh-doc spelling and the tools use dshdoc; they were renamed from the initial dsh-docling / docling release. One-prompt install