ocr-caching-strategy

ocr caching strategy

7,385 stars

Best use case

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

ocr caching strategy

Teams using ocr-caching-strategy 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-caching-strategy/SKILL.md --create-dirs "https://raw.githubusercontent.com/kreuzberg-dev/kreuzberg/main/.ai-rulez/domains/ocr-integration/skills/ocr-caching-strategy/SKILL.md"

Manual Installation

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

How ocr-caching-strategy Compares

Feature / Agent	ocr-caching-strategy	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 caching strategy

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

Optimize OCR performance through caching

1. Generate content hash of image
2. Combine with:
   - OCR backend identifier
   - TesseractConfig serialization
   - Language configuration
3. Use hash as cache key
4. Check cache for entry
5. Validate cache entry:
   - Matches current config
   - Integrity check
   - Age check if applicable
6. Store result with metadata
7. Track statistics:
   - Hit rate
   - Storage size
   - Access patterns

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