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OCR text correction subagent v1.0.0

Use this resource to correct OCR-extracted text without changing its meaning

New

  • 204 downloads
  • 132 likes
  • 91 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ocr-text-correction-subagent

First time: connect the CLI with

npx --yes palatekit@latest login

Your main agent calls it to clean up optical character recognition output: character confusions (rn and m, l, I and 1), merged or split words, punctuation and capitalization. It restores marketing and business terms and checks that the text reads naturally.

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Updated November 2, 2026

Card for “OCR text correction subagent”

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • The subagent file (in English): OCR error types handled and correction method
  • A corrected text that keeps the original meaning

Good fit for

  • A scanned text to rework before publishing
  • An OCR archive with many misread words

Not for

    Tags

    • ocr
    • correction
    • grammar
    • digitization

    About

    You say

    “Clean up this text from a scanned sales brochure without changing its meaning.”

    Card for “OCR text correction 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 correct OCR-extracted text without changing its meaning, or call the subagent by name
    3. Review its work

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • ocr-text-correction-subagent.md2.4 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

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