Skillsdsh-plugin

mcp-ds-ocr

dsh-ocr is a DeepSeek Harness plugin that provides OCR visual recognition via OpenAI or Anthropic vision model APIs. It adds an ocr_recognize tool, configurable in DSH settings with model list and test connection buttons, returns percent/pixel coordinates with confidence, and re-reads low-confidence regions automatically.

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Aug 16, 2026
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Installation

No reliable install command was detected. Check the project README for installation instructions.

Overview

dsh-ocr is a DeepSeek Harness plugin that provides OCR visual recognition via OpenAI or Anthropic vision model APIs. It adds an ocr_recognize tool, configurable in DSH settings with model list and test connection buttons, returns percent/pixel coordinates with confidence, and re-reads low-confidence regions automatically.

  • OCR recognition via OpenAI-compatible or Anthropic vision APIs, selectable apiFormat.
  • Configurable in DSH settings: API URL, API key, model, confidence threshold, coordinate mode, and retry options.
  • Get model list and test connection buttons in the plugin settings card.
  • ocr_recognize tool supports absolute or workspace-relative image paths for PNG/JPEG/GIF/WebP up to 10 MB.
  • Returns text with pixel and percentage bounding boxes, diagonal two-point description, confidence, and retried flag.
  • Low-confidence regions are automatically re-read and merged using IoU matching.
  • Optional manual focus regions and prompt hint for targeted recognition.
  • Settings persisted via dsh-settings; HTTP calls made with curl through local child process.

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