Polaris AI DataInsight — Doc Extract Skill

Use the Polaris AI DataInsight Doc Extract API to extract text, images, tables, charts, shapes, equations, and more from Word, PowerPoint, Excel, HWP, and HWPX files, returning everything as a structured unifiedSchema JSON. A single API call gives you the full document structure without any manual parsing.

When to Use This Skill

• The user wants to extract text, tables, charts, or images from DOCX, PPTX, XLSX, HWP, or HWPX files
• The user needs to understand a document's structure (page count, element types, position data, etc.)
• The extracted data will be used in a RAG pipeline, data analysis workflow, or automation task
• Table data needs to be converted to CSV, or chart data needs to be broken down into series and labels
• The user needs to parse special elements like headers, footers, equations, or shapes

What This Skill Does

1. Authentication — Authenticates with the Polaris DataInsight API via the x-po-di-apikey header.
2. Upload and extract — Sends the file as a multipart/form-data POST request and extracts the full document structure.
3. Parse ZIP response — The API returns a ZIP file; extract it and load the unifiedSchema JSON inside.
4. Deliver structured data — Returns a JSON organized by page and element type (text, table, chart, image, shape, equation, etc.).
5. Support multiple usage patterns — Handles full text extraction, table-to-CSV conversion, RAG chunk generation, and more.

How to Use

Prerequisites

Get an API Key: Sign up at https://datainsight.polarisoffice.com and generate your API key.

Authentication: Include the API key as a header on every request.

Header: x-po-di-apikey: $POLARIS_DATAINSIGHT_API_KEY

Set the environment variable:

export POLARIS_DATAINSIGHT_API_KEY="your-api-key-here"

Limits

Basic Usage

Endpoint:

POST https://datainsight-api.polarisoffice.com/api/v1/datainsight/doc-extract

Extract a document with Python:

import requests
import json
import zipfile
import io

def extract_document(file_path: str, api_key: str) -> dict:
    with open(file_path, "rb") as f:
        response = requests.post(
            "https://datainsight-api.polarisoffice.com/api/v1/datainsight/doc-extract",
            headers={"x-po-di-apikey": api_key},
            files={"file": f}
        )

    if response.status_code != 200:
        raise Exception(f"API error: {response.status_code} - {response.text}")