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Image text extraction to Markdown subagent v1.0.0

Use this resource to extract text from an image while keeping its structure and convert it to Markdown

New

  • 407 downloads
  • 101 likes
  • 36 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install visual-analysis-ocr-subagent

First time: connect the CLI with

npx --yes palatekit@latest login

Your main agent calls it to read a screenshot or image: it picks up headings, lists, captions and notes, recognizes emphasis and code blocks, maps the visual hierarchy to Markdown and checks that nothing is missing.

Mostly picked by

Updated November 2, 2026

Card for “Image text extraction to Markdown subagent”

Details

Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • The subagent file (in English): extraction method and conversion rules
  • A Markdown text that follows the image's hierarchy

Good fit for

  • A slide screenshot whose text must be reused
  • A printed page image to transcribe

Not for

    Tags

    • ocr
    • image
    • markdown
    • extraction

    About

    You say

    “Extract the text from this screenshot and render it in Markdown with the headings.”

    Card for “Image text extraction to Markdown subagent”

    Subagent published by davila7 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Copy the file into .claude/agents/ (project) or ~/.claude/agents/ (all your projects)
    2. Ask your agent to extract text from an image while keeping its structure and convert it to Markdown, or call the subagent by name
    3. Review its work

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • visual-analysis-ocr-subagent.md3 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/blob/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/agents/ocr-extraction-team/visual-analysis-ocr.md
    Licence
    MIT

    Notice

    « visual-analysis-ocr » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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