dsh-mac-vision
Native macOS OCR and Vision tools for DeepSeek Harness
133 results
Native macOS OCR and Vision tools for DeepSeek Harness
DSH 本地视觉能力:macOS Vision OCR + ollama qwen3-vl 语义描述 + 上传图片桥接(图片块转文本,text-only 通道可用)
On-demand vision for text-only LLMs in DeepSeek Harness: keep pasted/attached images in the backend, and let the model call view_image to look at them anytime via any OpenAI-compatible vision endpoint — as if the model were natively multimodal.
Windows-first vision suite for DeepSeek Harness.
dsh-eye-vision: give text-only DeepSeek Harness models eyes — image understanding via any OpenAI-compatible multimodal API. Fork of dsh-free-vision with custom-provider fixes and an allowed-directories whitelist.
KoboldCpp for DeepSeek Harness - a tool plugin that lets the harness online model hand repetitive text and vision (OCR) labor to a local KoboldCpp (llama.cpp) server.
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。
Adaptive image routing for DeepSeek Harness: pass images directly to native multimodal models and transcribe them only for text-only models.
Bridges images into text for DeepSeek Harness: when the session's selected model cannot see images, a configured vision model describes them and the descriptions enter the durable session history as folded context rows — your message stays untouched.
Point-and-shoot screenshot capture for DeepSeek Harness: clipboard watcher + system floating window (comment & key-point, copy/save-doc/save-image) + instant OCR + Obsidian per-day merging + evening AI organization. 指哪拍哪 · 截图即存:剪贴板监听 + 鼠标位置系统级悬浮窗 + 即时 OCR + Obsidian 按天合并 + 晚间 AI 整理打双链
DeepSeek Harness tool for local image OCR with the WeChat OCR engine.
DeepSeek Harness tool for offline OCR with the Windows 11 Snipping Tool OneOCR engine.
Unlimited-OCR long-document parsing with a native DeepSeek Harness tool and GUI configuration.
Remote SSH workspace and closed-loop deployment Agent for DeepSeek Harness: SSH Files, terminal, remote editing, zero-to-one Bootstrap, Runbooks, automation, Vision/OCR and safe recovery.
DeepSeek Harness 原生视觉 Bundle:粘贴或拖入图片,通过托管的 deepseek-vision-mcp 调用 OpenAI 兼容视觉模型。
DSH 插件:通过硅基流动(SiliconFlow)视觉大模型识别/分析图片,支持本地文件路径、http(s) 图片 URL 与 base64 data URL。含持久化的粘贴识别面板(web 端)。
Self-healing guard for the dsh-ocr plugin: re-applies the llm-deepseek adapter OCR seam (and the dsh-ocr package fixes) after a dsh upgrade wipes them. Fail-safe: verifies the patched module loads, rolls back on failure.
Flagship multimodal vision hub for DeepSeek Harness: ~40 tools, PDF drag-and-drop, LaTeX formulas, complex tables, QR codes, UI flow diagrams, and multi-model consensus.
Two-tier image reading for text-only models in DeepSeek Harness: fast local OCR (RapidOCR, offline) first, then a vision model via modlens as fallback.
DSH bundle: Qwen multimodal bridge — vision (qwen3-vl), speech-to-text (qwen3-asr), text-to-image (qwen-image), via the deepseek-vision skill scripts
The see tool for the DeepSeek Harness: offline OCR with positions (macOS Vision) + ASCII layout art (PIL) + vision-model semantic description (mimo-v2.5 via the opencode-go gateway). Works with any model, including text-only ones.
公式图片 → LaTeX(pix2tex / LaTeX-OCR):把教材/截图中的数学公式识别为 LaTeX 代码
Dual-face (host + client) plugin: independent text-output ocr_image tool + tools/execute read_image capability dispatch + ctx.ocr seam, with a conversation.input.left OCR toggle button.
Model-facing describe_image + extract_text tools for the DeepSeek Harness web GUI: gives a text-only model reliable image understanding and OCR through an OpenAI-compatible vision endpoint, with critical-inspection prompts, auto-preprocessing, retries, and a persistent answer cache.