95 results
DSH 文件适配插件（面向 DSH 0.1.2-alpha.1）：拖拽/粘贴/点击上传/@ 文件引用加入本地文件，以「文件：<路径>」引用随消息发出；主模型按需调用 dshomnifile 工具解析——文本多编码直读、Office/PDF 等文档由 anydoc 提文本、文档内嵌图片与扫描/图文混排 PDF 页由进程内 pdfjs 渲染 + 配置的多模态模型识别（内容哈希缓存 + 并发排队）并组装为 Markdown；聊天内文件卡片可预览图片、本地打开源文件；识别走官方 ctx.llm.stream。
DragView：为 DeepSeek Harness 提供拖拽文件、Codex 风格附件卡片、安全文件预览与系统打开能力
Hana Research for DeepSeek Harness: literature discovery, journal tracking, project libraries, PDF reading and research notes.
DeepSeek Harness (DSH) web plugin: read PDF / Word .docx / PPT .pptx / plain-text & code files straight into the composer via upload or drag-and-drop
DeepSeek Harness 插件：解析 Word/PDF 题目，支持本地智能索引/聚类/检索/抽题，生成带书写空隙的可打印试卷
通过三方多模态 API 为纯文本 LLM 提供图像理解与文档理解能力（OCR、表格、公式、 版面解析、PDF/扫描件→Markdown、截图/照片/图表问答）。使用场景：用户粘贴或给出 图片/PDF 路径时解读内容、从文档提取文字与表格、对截图提问、发票/论文/票据解析。 触发词：图片理解、OCR、文档解析、截图内容、PDF 提取、表格识别、公式识别、票据识别、 扫描件、image、vision。实现为 Python 标准库 CLI（urllib/json/base64），零三方依赖。
A DeepSeek Harness (DSH) plugin that reads PDF files of any size (no 64KB limit): full Unicode text extraction (Chinese/English) via pdfjs-dist, with automatic OCR for scanned or image-heavy pages (Windows WinRT OCR zh-Hans-CN + en-US, or optional tesseract.js).
DeepSeek Harness (dsh) plugin — read_pdf tool for PDF text extraction. Read and extract text from PDF files with AI agents / LLM tools, built on PDF.js (unpdf).
DeepSeek Harness plugin: ingest PDFs into a citable OKF library, then search and write surveys in the same conversation
DSH web plugin (dsh-better-sidebar companion): adds an export button to the markdown editor toolbar — one-click export of the current .md file to standalone HTML (with mermaid diagrams inlined) or PDF (via browser print dialog)
Paste or drag non-image files (xlsx/csv/pdf/zip…) into the DSH web composer: files are saved into the session workspace and an @reference is inserted.
Convert Office documents (.doc/.docx/.xls/.xlsx/.ppt/.pptx) and PDFs (incl. scanned, via local OCR) to structurally-formatted Markdown, powered by MarkItDown. CLI + dsh agent tool.
DSH better-sidebar plugin: read paper PDFs and translate a selection with the LLM, contextual and isolated from the main conversation.
DSH Web plugin: a right-docked file panel that browses any directory and views/edits text, images (brightness/contrast/grayscale/rotate/flip), and Office/PDF documents (.docx/.xlsx/.pptx/.pdf via local Python).
DSH 原生发票解析/报销单生成工具：读取工作区发票 PDF（XML 附件优先、文本层正则兜底），结构化 JSON + 金额勾稽校验，多张汇总生成报销单（Markdown / xlsx）。
仓库知识图谱：把代码/PDF/Markdown/截图/白板照片提取概念关系建图——god nodes/惊人连接/建议问题、EXTRACTED/INFERRED/AMBIGUOUS 边标签、71.5x token 节省、wiki 导航、--watch 自动同步、git hook。受 safishamsi/graphify（48.7k★）启发。
Model-facing document tools for DeepSeek Harness: read/create/edit PDF, DOCX, XLSX, PPTX, CSV and Markdown files (read_document, create_document, edit_document)
面向中文读者的英文论文精读 Agent 预设插件：自动安装 paper-tutor 预设，提供零依赖 PDF 文本/图表提取（pdf_extract）、工作区论文盘点（paper_scan）、LaTeX 结构解析（tex_structure）与图表视觉分析（paper_figure），结合论文代码溯源讲解论文。
文档文字识别。用户提供 PDF/扫描件/图片（合同、发票、书页、截图），需要提取文字、转成可编辑文本时使用。扫描件自动 OCR（macOS Vision，中英文）。Document OCR: extract editable text from PDFs, scans, and images (contracts, invoices, book pages, screenshots) via macOS Vision.
Convert PDF and Word (DOCX) documents to clean Markdown. Use when the user asks to convert PDF/Word to Markdown, extract document text/structure, 提取 PDF/Word 内容, 转 Markdown, or prepare documents for editing/RAG. Handles Chinese documents and Windows paths well.
Style-locked PDF editor plugin for DeepSeek Harness — AI edits text, native renderer preserves layout (ships dsh-std Community v0.15 manifest + legacy dsh entry)
A paper-review panel for the DeepSeek Harness: converts PDF papers into structured, selectable text (columns, headings, tables, sub/superscripts, table of contents) with figure and display-equation rendering, a floating ask-about-the-selection dialog, and per-project paper stores under a Paper workspace.
Usage cost, transcript export, and expanded stats for DeepSeek Harness.
DeepSeek Harness plugin: PDF→Word (.docx) conversion with layout fidelity (fonts/tables/images/borders), OCR scan mode, and optional multimodal LLM verification. Registers the pdf_to_word model tool.