Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines
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# ExStruct — Excel Structured Extraction Engine [](https://pypi.org/project/exstruct/) [](https://pepy.tech/projects/exstruct)  [](https://github.com/harumiWeb/exstruct/actions/workflows/pytest.yml) [](https://app.codacy.com/gh/harumiWeb/exstruct/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade) [](https://codecov.io/gh/harumiWeb/exstruct) [](https://deepwiki.com/harumiWeb/exstruct)   ExStruct reads Excel workbooks and outputs structured data (cells, table candidates, shapes, charts, smartart, merged cell ranges, print areas/views, auto page-break areas, hyperlinks) as JSON by default, with optional YAML/TOON formats. It targets both COM/Excel environments (rich extraction) and non-COM environments (cells + table candidates + print areas), with tunable detection heuristics and multiple output modes to fit LLM/RAG pipelines. [日本版 README](README.ja.md) ## Features - **Excel → Structured JSON**: cells, shapes, charts, smartart, table candidates, print areas/views, and auto page-break areas per sheet. - **Output modes**: `light` (cells + table candidates + print areas; no COM, shapes/charts empty), `standard` (texted shapes + arrows, charts, smartart, merged cell ranges, print areas), `verbose` (al…
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