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office-md

v0.1.6

Published

Native Node/Bun bindings for OfficeMD document extraction

Readme

office-md

Fast Office document extraction for LLMs and agents. Native Node/Bun bindings for converting DOCX, XLSX, CSV, PPTX, and PDF into clean markdown, structured JSON IR, and Docling output.

Install

npm install office-md
# or
bun add office-md

For a one-shot run without installing:

npx office-md markdown report.docx
bunx office-md markdown report.docx

CLI

office-md markdown report.docx
office-md markdown budget.xlsx --sheets "Summary,Q1"
office-md render report.docx
office-md diff old.docx new.docx
office-md diff old.docx new.docx --html

SDK

import { readFileSync } from "node:fs";
import { markdownFromBytes, extractIrJson, doclingFromBytes } from "office-md";

const content = readFileSync("report.docx");

// Markdown
console.log(markdownFromBytes(content, "docx"));

// Structured JSON IR
console.log(extractIrJson(content, "docx"));

// Docling JSON
console.log(doclingFromBytes(content, "docx"));

API

  • detectFormat(content) - detect document format from bytes
  • extractIrJson(content, format?) - extract intermediate representation as JSON
  • markdownFromBytes(content, format?, options...) - render as markdown
  • markdownFromBytesBatch(contents, format?, workers?, options...) - parallel markdown rendering
  • extractSheetNames(content) - list XLSX sheet names
  • extractTablesIrJson(content, options...) - extract XLSX table data as JSON
  • extractCsvTablesIrJson(content, options...) - extract CSV table data as JSON
  • inspectPdfJson(content) - PDF diagnostics as JSON
  • inspectPdfFontsJson(content) - PDF font information as JSON
  • doclingFromBytes(content, format?) - convert to Docling JSON

Supported Formats

| Format | Extension | Markdown | JSON IR | Docling | | ---------- | --------- | -------- | ------- | ------- | | Word | .docx | yes | yes | yes | | Excel | .xlsx | yes | yes | yes | | CSV | .csv | yes | yes | - | | PowerPoint | .pptx | yes | yes | yes | | PDF | .pdf | yes | yes | - |

License

MIT