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FlowDoc

Word to Markdown, extract structured text instantly

Upload a .docx file and get clean Markdown output. Headings, lists, tables preserved. Redundant styles stripped.

Upload your Word document

Drop a .docx file here or click to browse

Supports drag & drop

  • Runs entirely in your browser
  • Headings, lists, tables, code preserved
  • Completely free

How it works

Three steps, no signup.

  1. 1

    Upload a .docx

    Drag and drop or click to select your Word file.

  2. 2

    Auto-parse

    Headings, lists, tables, quotes mapped to Markdown syntax.

  3. 3

    Copy or download

    One-click copy Markdown, or download as .md. Feed it back into ChatGPT or Notion.

Features

Built with care for AI-era document delivery.

  • Structure preserved

    Heading levels, ordered/unordered lists, tables, quotes, bold, and italics all mapped to Markdown.

  • Style cleanup

    Strips redundant Word styles, empty paragraphs, and formatting noise. Clean, readable output.

  • Client-side conversion

    Your file never leaves the browser. Works offline. No server round-trip.

When to use

Real-world scenarios where FlowDoc saves you time.

  • Word to AI loop

    Convert Word docs to Markdown, feed them to ChatGPT/Claude for refinement, and close the human-AI loop.

  • Notion migration

    Batch convert existing Word documents to Markdown for migration into Notion or Obsidian.

  • Version diffing

    Convert multiple Word document versions to Markdown and use diff tools for precise comparison.

  • Legacy doc digitization

    Turn years of accumulated Word documents into searchable, indexable Markdown.

Frequently asked questions

Still curious? Email us at admin@flowdoc.cc

  • FlowDoc supports standard .docx files (Office Open XML format, Word 2007 and newer). Legacy .doc binary formats cannot be parsed directly. Open them in Word or WPS, save as .docx first.

  • No. Our compiler implements an aggressive semantic extraction model. It extracts structural elements (headings, bullet points, task checkbox states, bold, italics, strikethroughs, code snippets, blockquotes, and tables) while discarding ad-hoc colors, custom font sizes, text highlights, and styling noise. The output is clean and perfect for ChatGPT, Notion, Obsidian, or GitHub.

  • Yes. Our engine recursively parses the cell nodes within Word's layout tables, mapping row heights, columns, and text alignment to GFM pipe structures. While bold/italic contents inside cells are preserved, advanced features like merged cells (rowspan/colspan) may be split into individual cells to prevent layout breaks.

  • Since the entire process is handled inside browser memory using client-side JavaScript (unzipping the docx archive and compiling document.xml nodes in real time), it is extremely fast. Even 100+ page archives are parsed and rendered in less than one second, with no upload queues and absolute data boundary isolation.

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