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Data Wizard – AI Powered Data Extraction

An LLM-based data extraction tool that you can integrate directly into your application workflows and forms

Introduction to Data Wizard

Data Wizard is designed to be easy to install and deploy in various environments. This guide will walk you through the installation process and help you get started with your first data extraction task.

Quick Start

Getting started with extracting structured data from unstructured documents using Data Wizard.

Extracting Data

Extractors are the core configuration objects in Data Wizard

Extractors

Pre-Processing Files

Learn about the built-in and custom extraction strategies available in Data Wizard.

Built-in Strategies

Configure your Large Language Model (LLM) API provider in Data Wizard to connect to leading LLMs like OpenAI, Anthropic, Google AI, Mistral AI, and more.

Configure LLM Providers

Deployment

For more control over the extraction process, you can create custom strategies tailored to your specific document types or complex extraction tasks.

Custom Strategies

Embed Data Wizard into your web application using iFrames and interact with it programmatically using the JavaScript API.

Integration using iFrames

Integrate Data Wizard programmatically using the HTTP REST API and GraphQL API endpoints.

HTTP & GraphQL API

This example demonstrates how to extract structured data from scanned invoices. This is useful if your system accepts invoice data and your source files are pictures / scans or PDF files.

Invoice Data from Scans

In this example we try to extract a lot of tiny pieces of information from a document, in this case product names and prices. The example is useful for automatically importing product and pricing information from online brochures for competitor analysis or other use cases.

Products from Brochures

Transform handwritten or printed customer feedback forms into structured JSON. Ideal for analyzing customer sentiment, identifying trends, and improving service quality.

Customer Feedback to JSON

Convert data from paper-based tax forms into structured JSON for efficient tax processing, data entry, and compliance management.

Tax Forms to JSON

Automatically import data from PDF exposés into your real estate platform or other similar applications. This is an example showing how to assign the embedded images as pictures to data entities.

Real Estate from Exposés

Retrieves the collection of ExtractionBucket resources.

List all buckets

Create a new bucket

Get a single bucket

Delete a bucket

Retrieves the collection of ExtractionRun resources.

List all runs

Get a single run

Retrieves the collection of SavedExtractor resources.

List all extractors

Create a new extractor

Get a single extractor

Delete an extractor

Welcome to the home of your new documentation

Introduction

Start building awesome documentation in under 5 minutes

Quickstart

Preview changes locally to update your docs

Development

Text, title, and styling in standard markdown

Markdown Syntax

Code Blocks

Add image, video, and other HTML elements

Images and Embeds

Mintlify gives you complete control over the look and feel of your documentation using the mint.json file

Global Settings

The navigation field in mint.json defines the pages that go in the navigation menu

Navigation

Reusable, custom snippets to keep content in sync

Reusable Snippets

Example section for showcasing API endpoints

Returns all plants from the system that the user has access to

Get Plants

Create Plant

Deletes a single plant based on the ID supplied

Get Started

In-Depth

Integration into External Apps

Examples

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