Excel Extraction API for developers

Extract structured data from Excel spreadsheets using AI and JSON Schema. Perfect for financial reports, inventory lists, employee data, and more.

Schema-Driven Extraction – Define your data structure with JSON Schema and get perfectly formatted results every time
AI-Powered Understanding – Advanced AI analyzes spreadsheets to extract exactly the data you need, handling variations gracefully
Type-Safe Integration – JSON Schema validation ensures consistent, predictable data structure for your applications

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Easy to use APIs

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

Excel 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.xlsx",
    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("invoice.xlsx"),
    contentType: "image/jpeg",
    prompt: "Extract all invoice details",
    schema: {
      type: "object",
      properties: {
        invoiceNumber: { type: "string" },
        date: { type: "string" },
        totalAmount: { type: "number" }
      }
  }
  });

Response:

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Example Output

Real examples of structured data extracted from Excel spreadsheets

Original Document

Income statement

Output

AI-generated answer to your question

Question

Extract all income statement details

Schema

{
  "type": "object",
  "properties": {
    "company_name": {
      "type": "string"
    },
    "period_ending": {
      "type": "string"
    },
    "revenue": {
      "type": "number"
    },
    "expenses": {
      "type": "number"
    },
    "net_income": {
      "type": "number"
    }
  }
}

Answer

{
  "company_name": "Quinn Campbell",
  "period_ending": "FYXX Q2",
  "revenue": 500654,
  "expenses": 474171,
  "net_income": 63841
}

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Excel Extraction API for developers

Easy to use APIs

What people are saying

Structured Data Extraction

Example Output

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Frequently asked questions