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OCR image preprocessing subagent v1.0.0

Use this resource to improve document images before text recognition

New

  • 95 downloads
  • 176 likes
  • 7 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ocr-preprocessing-subagent

First time: connect the CLI with

npx --yes palatekit@latest login

Your main agent calls it when an image is too dark, skewed or noisy: it assesses quality, corrects skew and contrast, reduces noise and adjusts resolution. It reports the parameters used and gives a before-and-after comparison.

Mostly picked by

Updated November 2, 2026

Card for “OCR image preprocessing 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): preprocessing steps and parameters
  • A quality report with the settings chosen

Good fit for

  • Photos of pages taken with a phone
  • A batch of scans whose quality varies from page to page

Not for

    Tags

    • ocr
    • preprocessing
    • image
    • digitization

    About

    You say

    “Straighten and brighten these page photos before text recognition.”

    Card for “OCR image preprocessing 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 improve document images before text recognition, or call the subagent by name
    3. Review its work

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • ocr-preprocessing-subagent.md1.4 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-preprocessing-optimizer.md
    Licence
    MIT

    Notice

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

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