Word Extraction API for developers

Extract structured data from Word documents using AI and JSON Schema. Perfect for contracts, forms, reports, and any structured Word content.

Schema-Based Extraction – Define your data structure with JSON Schema and extract consistently from Word documents
AI-Powered Understanding – Intelligent extraction that adapts to document variations while maintaining your schema
Type-Safe Results – Get validated, structured JSON output ready for your database or application

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Easy to use APIs

Use our simple APIs directly or our TypeScript SDK with just a few lines of code.

Word Extract

API Docs

import { PDFVector } from "pdfvector";

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

// From URL
const results = await client.extract({
    url: "https://example.com/invoice.docx",
    prompt: "Extract all invoice details",
    schema: {
      type: "object",
      properties: {
        invoiceNumber: { type: "string" },
        date: { type: "string" },
        totalAmount: { type: "number" }
      }
  }
  });

// From file
import { readFile } from "fs/promises";
const results = await client.extract({
    data: await readFile("document.docx"),
    contentType: "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
    prompt: "Extract all invoice details",
    schema: {
      type: "object",
      properties: {
        invoiceNumber: { type: "string" },
        date: { type: "string" },
        totalAmount: { type: "number" }
      }
  }
  });

Response:

What people are saying

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“Can't recommend PDF Vector enough! It boosts your AI workflow accuracy to 100% while dropping your costs! Especially if you're a T4 Org in the $150/m spend range!”

— Abdo El-Mobayad

“Gotta give a shoutout to PDF Vector team for helping me set up PDF Vector for a project. They even delivered on a feature request before I purchased. Incredible customer service. 👏”

— Trent

“Been implementing RAG and changing a lot of things under the hood for @rabbitholesai, came across PDF Vector and it was a huge time saver. I got a document parsing solution for the rag pipeline within minutes! one less thing to worry about”

— Praneeth Pike

Example Output

Real examples of structured data extracted from Word documents

Original Document

Invoice

Output

AI-generated answer to your question

Question

Extract all invoice details

Schema

{
  "type": "object",
  "properties": {
    "invoiceNumber": {
      "type": "string"
    },
    "totalAmount": {
      "type": "number"
    },
    "Basic Fee wmView": {
      "type": "string"
    }
  },
  "required": [
    "invoiceNumber",
    "totalAmount"
  ],
  "additionalProperties": false
}

Answer

{
  "data": {
    "invoiceNumber": "123100401",
    "totalAmount": 453.53,
    "Basic Fee wmView": "130,00 €"
  },
  "pageCount": 3,
  "creditCount": 9
}

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Word Extraction API for developers

Easy to use APIs

What people are saying

Structured Data from Word Documents

Example Output

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Ready to Structure Your Word Data?

Everything you need for document processing

Frequently asked questions