Individual skill
xberg-extracting-tables
Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.
plugin/.ai-rulez/skills/xberg-extracting-tables/SKILL.md
Source commit 531f2502f8c21c69046ae5d4555c6b714346e574
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 10, 2026
- License
- MIT
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- text-extraction Repository topic
- document-intelligence Repository topic
- metadata-extraction Repository topic
- pdf-extraction Repository topic
- python Repository topic
- rag Repository topic
- table-extraction Repository topic
- tesseract Repository topic
- ffi Repository topic
- golang Repository topic
- data Derived category
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# Extracting tables
Use this when the user wants structured tabular data — financial
statements, scientific tables, invoices, spreadsheet-style PDFs. Xberg
detects tables via a layout model (RT-DETR v2) and reconstructs cell
structure with a configurable table model.
## Basic usage
```bash
# Markdown tables embedded in the content stream
xberg extract report.pdf --layout --content-format markdown
# Structured JSON output, tables appear under result.tables