ocr-error-recovery

ocr error recovery

7,385 stars

Best use case

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

ocr error recovery

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

Manual Installation

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

How ocr-error-recovery Compares

Feature / Agent	ocr-error-recovery	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 error recovery

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

Handle OCR failures gracefully

1. Attempt OCR with selected backend
2. On error:
   a. Log error details
   b. Record backend that failed
   c. Store original image
3. Try fallback backend if available
4. Return best available result:
   - Full result if successful
   - Partial result if some data extracted
   - Error if complete failure
5. Document failure for monitoring
6. Provide recovery suggestions

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