PDF OCR Layout

by berabuddies

PDF OCR Layout is an AI Engineering skill for Claude Code, published by berabuddies in Semia.

594 stars66 forkson berabuddies/SemiaAdded 2026/08/25Repository updated 2026/07/21

View source on GitHub Download repo ZIP

claude-codecodexopenclawsecurityskill-scannerstatic-analysis

Install in seconds

Install PDF OCR Layout

Copy PDF OCR Layout into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/berabuddies/Semia/tree/main/tests/fixtures/skills/baokui/pdf-ocr-layout ~/.claude/skills/pdf-ocr-layout

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/berabuddies/Semia.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: tests/fixtures/skills/baokui/pdf-ocr-layout/SKILL.md in berabuddies/Semia
Installs to: ~/.claude/skills/pdf-ocr-layout
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What PDF OCR Layout does

PDF OCR Layout parses PDFs and images into tables, charts, and reading-order JSON, then uses GLM models to interpret the content. Use it for multimodal document extraction and semantic analysis of reports and scanned pages.

PDF OCR Layout is cataloged under AI Engineering on DirSkills. PDF OCR Layout comes from a repository tagged claude-code, codex, openclaw, security and skill-scanner.

Documentation

README

Excerpt

GLM-OCR Multimodal Deep Analysis

This tool builds a high-precision document parsing pipeline: using GLM-OCR for layout element extraction, calling GLM-4.7 for logical interpretation of table data, and calling GLM-4.6V for multimodal visual interpretation of images and charts.

Pipeline Implementation Architecture

This Skill consists of two core script stages, orchestrated through glm_ocr_pipeline.py:

1. Extraction Stage (`scripts/glm_ocr_extract.py`)

Core Model: GLM-OCR
Function: Responsible for physical layout analysis of documents
Output: Extract table HTML and clean to Markdown, automatically crop independent chart image files based on Bbox coordinates, and generate intermediate JSON containing full page reading order

This is the opening of the README. Read the full README on GitHub.

Frequently asked about PDF OCR Layout

What else does berabuddies publish alongside PDF OCR Layout?
PDF OCR Layout is one of 25 skills that DirSkills catalogs from berabuddies/Semia, the repository it ships in. Its siblings there include AetherLang Chef, Apple Music Integration and Council Builder. Each one is a separate skill with its own page in this directory, installs the same way PDF OCR Layout does, and is maintained by berabuddies in that same repository. The rest of the collection is listed on the berabuddies/Semia page.
How does PDF OCR Layout compare to other AI Engineering skills?
PDF OCR Layout ranks #1946 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of PDF OCR Layout against them. Open each page to compare what they document and how they install.