pdf-figure-extractor

name

pdf-figure-extractor

description

Extract figures and/or tables from PDF files using the TF-ID model (Florence2-based object detection). Outputs cropped images with a Markdown index. Use when user wants to extract figures, tables, or images from a PDF file — e.g., "extract all figures from this PDF", "get the tables from paper.pdf", "extract images from pages 3-7". Requires conda TF-ID environment with pdf2image, transformers, pillow.

PDF Figure Extractor

Extract figures and tables from PDF files using TF-ID (Florence2-based) object detection.

Environment

• Conda env: TF-ID
• Dependencies: pdf2image, transformers, pillow

Usage

Windows (recommended — avoids encoding issues)

Invoke the bundled .bat from this skill's scripts/ directory:

cmd /c "scripts\extract_images.bat" "<pdf_path>" "<pages>"

Examples:

# Extract all pages
cmd /c "scripts\extract_images.bat" "paper.pdf" ""

# Extract specific pages
cmd /c "scripts\extract_images.bat" "paper.pdf" "2,5,10,11"

# Extract page range
cmd /c "scripts\extract_images.bat" "paper.pdf" "3-7,10"

Direct Python (cross-platform)

conda run -n TF-ID python scripts/extract_images.py <pdf_path> -o <output_dir> -t figure table --pages <pages>

Paths above are relative to this skill's directory. When the skill is installed under ~/.claude/skills/pdf-figure-extractor/, run the commands from that directory, or prepend the full skill path.

Parameters

Flag	Description	Default
pdf_path	Input PDF file	required
-o / --output	Output directory	./images
-t / --type	figure, table, or both	figure
--pages / -p	Pages to process, e.g. 1,3,5 or 2-6,10	all pages
--model	TF-ID model ID	yifeihu/TF-ID-base

Output

• <output_dir>/figure_01.png, figure_02.png, ... — cropped figures
• <output_dir>/table_01.png, table_02.png, ... — cropped tables (if requested)
• <output_dir>/image_index.json — machine-readable index
• <output_dir>/image_index.md — human-readable index with page numbers

Workflow

1. Ask user for PDF path (and optionally: output dir, types to extract, page range)
2. Run extraction via bat script (Windows) or conda run (other OS)
3. Read image_index.md to report what was extracted
4. Show user the output directory and extracted items summary

Notes

• The bat script hardcodes output to .\images relative to the skill directory; for custom output dir use direct Python invocation
• When page list is unknown, extract all pages first, then let user filter
• TF-ID detects layout elements — it works best on typical academic paper layouts
• For large PDFs, specify target pages to save time and memory