Vision & Input

modlens

Gives text-only DeepSeek models plug-in vision: paste a screenshot, get structured evidence.

What it is

A vision bridge for text-only coding agents. Paste an image into the chat and modlens converts it into structured JSON evidence — full transcription, layout regions in reading order, entities and relations — instead of a model’s guess.

The first vision plugin for DeepSeek Harness, and the vision bridge for every text-only coding agent. Paste an image, get structured JSON evidence (OCR, layout, semantics).
From the upstream README

Why it matters for design

  • UI screenshots become element-by-element walkthroughs the agent can act on.
  • Dense charts and data visualizations are read completely: axes, scales, palettes, highlighted regions.
  • Paste several references at once and it identifies the shared visual family before describing each one.

What it covers

  • Highlights
  • Installation
  • Usage
  • See it work
  • Documentation

How to install

modlens

  1. Run this in a terminal.

    npx -y @deepseek-ai/dsh plugin --profile web add @liustack/modlens@latest
  2. Restart dsh web so it picks up the plugin.

  3. Then describe the design you want. The harness picks up the plugin’s tools.

How to run it with DeepSeek Harness

  1. Install the plugin; the model picker gains DeepSeek-V4 variants with modlens vision.

  2. Paste a screenshot, mockup or chart straight into the conversation.

  3. Ask design questions against the structured evidence instead of re-describing the image.

Every plugin here is free to install and links to its real upstream source.

More in the DeepSeek Harness repo ↗

Next step

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