# Data Wizard – AI Powered Data Extraction

## Docs

- [Create a new bucket](https://docs.data-wizard.ai/api-reference/extractionbucket/create-a-new-bucket.md): Creates a ExtractionBucket resource.
- [Delete a bucket](https://docs.data-wizard.ai/api-reference/extractionbucket/delete-a-bucket.md): Removes the ExtractionBucket resource.
- [Get a single bucket](https://docs.data-wizard.ai/api-reference/extractionbucket/get-a-single-bucket.md): Retrieves a ExtractionBucket resource.
- [List all buckets](https://docs.data-wizard.ai/api-reference/extractionbucket/list-all-buckets.md): Retrieves the collection of ExtractionBucket resources.
- [Get a single run](https://docs.data-wizard.ai/api-reference/extractionrun/get-a-single-run.md): Retrieves a ExtractionRun resource.
- [List all runs](https://docs.data-wizard.ai/api-reference/extractionrun/list-all-runs.md): Retrieves the collection of ExtractionRun resources.
- [Create a new extractor](https://docs.data-wizard.ai/api-reference/savedextractor/create-a-new-extractor.md): Creates a SavedExtractor resource.
- [Delete an extractor](https://docs.data-wizard.ai/api-reference/savedextractor/delete-an-extractor.md): Removes the SavedExtractor resource.
- [Get a single extractor](https://docs.data-wizard.ai/api-reference/savedextractor/get-a-single-extractor.md): Retrieves a SavedExtractor resource.
- [List all extractors](https://docs.data-wizard.ai/api-reference/savedextractor/list-all-extractors.md): Retrieves the collection of SavedExtractor resources.
- [HTTP & GraphQL API](https://docs.data-wizard.ai/apis.md): Integrate Data Wizard programmatically using the HTTP REST API and GraphQL API endpoints.
- [Configure LLM Providers](https://docs.data-wizard.ai/configure-llm.md): 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.
- [Custom Strategies](https://docs.data-wizard.ai/custom-strategies.md): For more control over the extraction process, you can create custom strategies tailored to your specific document types or complex extraction tasks.
- [Deployment](https://docs.data-wizard.ai/deployment.md): Learn more about deploying Data Wizard.
- [Customer Feedback to JSON](https://docs.data-wizard.ai/examples/customer-feedback-to-data.md): Transform handwritten or printed customer feedback forms into structured JSON. Ideal for analyzing customer sentiment, identifying trends, and improving service quality.
- [Tax Forms to JSON](https://docs.data-wizard.ai/examples/data-from-paper-tax-forms.md): Convert data from paper-based tax forms into structured JSON for efficient tax processing, data entry, and compliance management.
- [Invoice Data from Scans](https://docs.data-wizard.ai/examples/paper-invoice-to-structured-data.md): 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.
- [Products from Brochures](https://docs.data-wizard.ai/examples/products-from-brochures.md): 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.
- [Real Estate from Exposés](https://docs.data-wizard.ai/examples/real-estate-properties-from-exposes.md): 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.
- [Extracting Data](https://docs.data-wizard.ai/extracting-data.md): Getting started with extracting structured data from unstructured documents using Data Wizard.
- [Extractors](https://docs.data-wizard.ai/extractors.md): Extractors are the core configuration objects in Data Wizard
- [Integration using iFrames](https://docs.data-wizard.ai/integrate.md): Embed Data Wizard into your web application using iFrames and interact with it programmatically using the JavaScript API.
- [Introduction to Data Wizard](https://docs.data-wizard.ai/introduction.md): An LLM-based data extraction tool that you can integrate directly into your application workflows and forms
- [Pre-Processing Files](https://docs.data-wizard.ai/preprocessing.md)
- [Quick Start](https://docs.data-wizard.ai/quick-start.md): 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.
- [Built-in Strategies](https://docs.data-wizard.ai/strategies.md): Learn about the built-in and custom extraction strategies available in Data Wizard.

## OpenAPI Specs

- [openapi](https://docs.data-wizard.ai/api-reference/openapi.json)

## Optional

- [Go to Dashboard](https://data-wizard.ai)
- [GitHub](https://github.com/capevace/data-wizard)
- [Thesis](https://github.com/Capevace/bachelor-thesis-submission/blob/adb1b0e7871f530efff45e5e5a3a17bf16d19009/Thesis.pdf)
- [Made by Lukas Mateffy](https://mateffy.me)