ocr-backend-plugin

ocr uackend plugin

7,385 stars

Best use case

ocr-backend-plugin is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

ocr uackend plugin

Teams using ocr-backend-plugin should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ocr-backend-plugin/SKILL.md --create-dirs "https://raw.githubusercontent.com/kreuzberg-dev/kreuzberg/main/.ai-rulez/domains/plugin-system/skills/ocr-backend-plugin/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/ocr-backend-plugin/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How ocr-backend-plugin Compares

Feature / Agent	ocr-backend-plugin	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

ocr uackend plugin

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

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SKILL.md Source

Implement custom OCR backends

1. Create struct implementing OcrBackend
2. Initialize OCR model/engine
3. Implement async process_image():
   a. Accept image bytes
   b. Extract language from config
   c. Validate image format
   d. Apply preprocessing if needed
   e. Run OCR engine
   f. Parse results
   g. Return ExtractionResult
4. Implement supported_languages()
5. Declare capabilities()
6. Handle async execution
7. Test OCR accuracy
8. Benchmark performance

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