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dsh-document-reader

Client Updated 2026.08.15

Run the following command in DeepSeek Harness:

dsh plugin install Yun-tech123/dsh-document-reader

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install Yun-tech123/dsh-document-reader in your terminal to install; the source code is hosted at https://github.com/Yun-tech123/dsh-document-reader .

About this plugin

When chatting with an AI in the DeepSeek Harness web UI, you often need to feed a PDF report, a Word document, or a PPT deck into the prompt. Opening the file, selecting all the text, copying, and pasting into the composer breaks your flow and can silently drop footnotes or table cells. dsh-document-reader turns that into a two-step action: click the Document button next to the input field to pick a file, or simply drag the file anywhere on the page and the extracted text lands in the draft instantly.

The plugin handles .pdf (parsed server-side with pdfjs-dist, correctly processing object streams and CID fonts), .docx, and .pptx (unpacked client-side via ZIP + XML), as well as plain-text formats such as txt, md, csv, json, yaml, and source code. Each file is capped at 200 k characters; anything beyond is truncated with a note. Image-only scanned PDFs and legacy binary .doc / .xls / .ppt files are not supported save them to their modern equivalents first.

If your workflow regularly involves handing documents to an AI for summarization, translation, code review, or Q and A, this plugin removes the copy-paste friction and keeps the conversation moving. A modern browser (Chrome, Edge, or Firefox 2022 or later) is required for the client-side parsing.

Use Cases

  • Drag a PDF report onto the page and ask the AI to summarize it
  • Feed Word document text straight into the conversation without copy-paste
  • Drop a code file into the composer and request a review or explanation

Best For

  • Knowledge workers who regularly feed documents to an AI
  • Researchers or engineers who work with PDFs, Word, and PPTs daily
  • Users of the DeepSeek Harness web interface for conversations