psmmode-tuning

psmmode tuning

7,385 stars

bykreuzberg-dev

View on GitHub Installation ↓

Best use case

psmmode-tuning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

psmmode tuning

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

Manual Installation

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

How psmmode-tuning Compares

Feature / Agent	psmmode-tuning	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?

psmmode tuning

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

Select and optimize Tesseract PSM modes

1. Analyze document layout
2. Identify layout characteristics:
   - Single column vs. multi-column
   - Sparse vs. dense text
   - Text direction (LTR, RTL)
3. Select PSM mode:
   - 0: OSD only
   - 3: Default (single column)
   - 6: Single block
   - 11: Sparse text
   - 13: Raw line
4. Test PSM mode effectiveness
5. Document mode selection heuristics
6. Implement adaptive mode selection

Related Skills

kreuzberg

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from kreuzberg-dev/kreuzberg

Extract text, tables, metadata, and images from 91+ document formats (PDF, Office, images, HTML, email, archives, academic) using Kreuzberg. Use when writing code that calls Kreuzberg APIs in Python, Node.js/TypeScript, Rust, or CLI. Covers installation, extraction (sync/async), configuration (OCR, chunking, output format), batch processing, error handling, and plugins.