hocr-parsing-and-conversion

hocr parsing and conversion

7,385 stars

Best use case

hocr-parsing-and-conversion is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

hocr parsing and conversion

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

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/hocr-parsing-and-conversion/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How hocr-parsing-and-conversion Compares

Feature / Agenthocr-parsing-and-conversionStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

hocr parsing and conversion

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.

Related Guides

SKILL.md Source

Extract structured data from Tesseract hOCR output

1. Parse hOCR XML from Tesseract
2. Extract word elements with:
   - Text content
   - Bounding box (x, y, width, height)
   - Confidence score
   - Language info
3. Group words into:
   - Lines
   - Paragraphs
   - Text blocks
4. Convert formatting:
   - Bold text
   - Italic text
   - Spacing/alignment
5. Generate Markdown output:
   - Heading levels
   - Lists
   - Text formatting
6. Feed positioning data to table reconstruction