TableStructureRec

COMMUNITY

整理目前开源的最优表格识别模型,完善前后处理,模型转换为ONNX | Organize the currently open-source optimal table recognition models, improve pre-processing and post-processing, and convert the models to ONNX.

Downloads 0
Stars 950
Version 1.0.0
Quality 69/100 · Promising

Install with one command

$ npx skills add RapidAI/TableStructureRec

Best for

Document processing

Find skills for parsing PDFs, extracting tables, running OCR, converting documents, and preparing file content for agent workflows.

Choose it when

  • You want a GitHub-backed skill with 950 stars.
  • You need a reusable install command for agents.
  • You want to compare it with related marketplace skills.

Check before install

  • Pushed 10mo ago
  • License: Apache-2.0
  • Review the repository README and examples.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

69
GitHub stars
950
Freshness
10mo ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Stack fit

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Overview

整理目前开源的最优表格识别模型,完善前后处理,模型转换为ONNX | Organize the currently open-source optimal table recognition models, improve pre-processing and post-processing, and convert the models to ONNX.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ocrFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
5/24/2026
Published
5/24/2026

Frameworks & Tools

PythonOCR

Author

R

RapidAI

@rapidai

Platform Fit

Health Signals

GitHub stars
950
Quality score
44/100
Last GitHub push
Aug 3, 2025
Framework hints
2

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: Apache-2.0