Unstructured

# Unstructured ## Docs - [Welcome to Unstructured!](https://docs.unstructured.io/welcome.md) - [About Unstructured](https://docs.unstructured.io/about.md) - [Unstructured concepts overview](https://docs.unstructured.io/concepts/overview.md): Learn how Unstructured processes documents: partitioning, chunking, enriching, embedding, and structured data extraction. - [Document elements and metadata](https://docs.unstructured.io/concepts/document-elements.md) - [Partitioning](https://docs.unstructured.io/concepts/partitioning.md) - [Structured data extraction](https://docs.unstructured.io/concepts/structured-data-extractor/data-extractor.md) - [Choose an extraction method: LLM or Regex](https://docs.unstructured.io/concepts/structured-data-extractor/choose-extraction-method.md) - [Structured Extraction with LLM](https://docs.unstructured.io/concepts/structured-data-extractor/llm-options.md) - [Structured Extraction with Regex](https://docs.unstructured.io/concepts/structured-data-extractor/regex-options.md) - [Using the structured data extractor](https://docs.unstructured.io/concepts/structured-data-extractor/using-the-structured-data-extractor.md) - [Saving extracted data](https://docs.unstructured.io/concepts/structured-data-extractor/saving-extracted-data.md) - [Additional examples](https://docs.unstructured.io/concepts/structured-data-extractor/additional-examples.md) - [Chunking](https://docs.unstructured.io/concepts/chunking.md) - [Overview](https://docs.unstructured.io/concepts/enriching/overview.md) - [Image descriptions](https://docs.unstructured.io/concepts/enriching/image-descriptions.md) - [Table descriptions](https://docs.unstructured.io/concepts/enriching/table-descriptions.md) - [Tables to HTML](https://docs.unstructured.io/concepts/enriching/table-to-html.md) - [Named entity recognition (NER)](https://docs.unstructured.io/concepts/enriching/ner.md) - [Generative OCR optimization](https://docs.unstructured.io/concepts/enriching/generative-ocr.md) - [Embedding](https://docs.unstructured.io/concepts/embedding.md) - [More examples](https://docs.unstructured.io/concepts/examples.md) - [Unstructured Transform Overview](https://docs.unstructured.io/transform/overview.md): Unstructured Transform quickly turns any document into structured data that is ready for your apps, databases, vector stores, AI tools, and agents. - [Supported file types for Unstructured Transform](https://docs.unstructured.io/transform/supported-file-types.md): Unstructured Transform supports processing of the following file types. - [Supported MCP registries for Unstructured Transform](https://docs.unstructured.io/transform/registry.md): Find and install the Unstructured Transform MCP server through MCP registries and connector directories. - [Get started with the Unstructured Transform MCP server](https://docs.unstructured.io/transform/get-started/overview.md): Learn how to connect and use the Unstructured Transform MCP server in various AI tools. You can then point to your files and have Transform start producing partitioned, enriched, chunked, and embedded data based on your files in minutes. - [Get started with Unstructured Transform for Claude Code](https://docs.unstructured.io/transform/get-started/claude-code.md): Learn how to install the Unstructured Transform MCP server into Claude Code. You can then point to your files and have Transform start producing partitioned, enriched, chunked, and embedded data based on your files in minutes. - [Get started with Unstructured Transform for Claude Desktop](https://docs.unstructured.io/transform/get-started/claude-desktop.md): Learn how to install the Unstructured Transform MCP server into Claude Desktop, then drag and drop files to have Transform produce partitioned, enriched, chunked, and embedded data. - [Get started with Unstructured Transform for Cline](https://docs.unstructured.io/transform/get-started/cline.md): Learn how to install the Unstructured Transform MCP server into Cline. You can then […gekürzt]