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Word to Markdown API for Developers

Convert any Word document (.doc, .docx) to clean, structured markdown with our enterprise-grade document parser.

  • Complete Word Support – Handles both legacy .doc and modern .docx formats with equal precision
  • Structure Preservation – Maintains headings, lists, tables, and formatting from complex documents
  • Simple Integration – REST API or TypeScript SDK with comprehensive documentation and examples
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Word Parse API

API Docs
import { readFile } from "fs/promises";
import { PDFVector } from "pdfvector";

const client = new PDFVector({
  apiKey: "pdfvector_xxxxxxx"
});

const urlResult = await client.parse({
  url: "https://example.com/report.docx",
  useLLM: "auto"
});

const fileResult = await client.parse({
  data: await readFile("document.docx"),
  contentType: "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
  useLLM: "auto"
});

Word Document Parsing Excellence

Our Word parsing API delivers the same high-quality markdown extraction you expect from our PDF service. Built for developers who need reliable Word document conversion.

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Complete Word Format Support

Handles both legacy .doc and modern .docx formats seamlessly. Perfect for processing any Word document.

Lightning-Fast Processing

Convert Word documents in seconds. Our optimized parsers handle documents of any size with consistent performance.

Preserves Document Structure

Maintains headings, lists, tables, footnotes, and formatting. Get clean markdown that represents your document's true structure.

Same Fair Pricing

No premium charges for Word documents. Same transparent, pay-as-you-go pricing as our PDF parsing service.

Example Output

Watch how our API transforms complex Word documents into clean, structured markdown

Original Document

With table

Parsed Markdown

Clean, structured output

Example table

This is an example of a data table.

|  Disability
Category | Participants | Ballots
Completed | Ballots
Incomplete/
Terminated | Results |   |
| --- | --- | --- | --- | --- | --- |
|   |  |  |  | Accuracy | Time to
complete  |
|  Blind | 5 | 1 | 4 | $34.5 \%, n=1$ | 1199 sec, $n=1$  |
|  Low Vision | 5 | 2 | 3 | $98.3 \% n=2$ | 1716 sec, $n=3$  |
|   |  |  |  | $(97.7 \%, n=3)$ | $(1934 \mathrm{sec}, n=2)$  |
|  Dexterity | 5 | 4 | 1 | $98.3 \%, n=4$ | 1672.1 sec, $n=4$  |
|  Mobility | 3 | 3 | 0 | $95.4 \%, n=3$ | 1416 sec, $n=3$  |

One subscription, all APIs

Start for free, then scale as you grow. No hidden fees.

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Free

$0

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Perfect for testing and small projects

  • Access to all APIs
  • 100 credits
  • LLM parsing
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Basic

$15/month

$176 billed annually

Great for personal projects and small businesses

  • Access to all APIs
  • 3,000 credits
  • LLM parsing
Subscribe to Basic
Most Popular

Pro

$72/month

$869 billed annually

Most popular plan for growing businesses

  • Access to all APIs
  • 100,000 credits
  • LLM parsing
Subscribe to Pro

Enterprise

$305/month

$3663 billed annually

For large-scale applications and enterprises

  • Access to all APIs
  • 500,000 credits
  • LLM parsing
Subscribe to Enterprise

Ready for Reliable Word Parsing?

Join the developers who trust PDF Vector for accurate, consistent Word parsing. Battle-tested reliability with simple integration - start building with confidence today.

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Frequently asked questions