> ## Documentation Index
> Fetch the complete documentation index at: https://www.unsiloed.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

# Welcome to Unsiloed AI

Agentic OCR for AI pipelines that need to trust the page. Turn PDFs, scans, and forms into Markdown and structured JSON, with confidence scores and bounding boxes on every value.

![](https://www.unsiloed.ai/docs/docs/images/rocket.png)

### [Quickstart](https://www.unsiloed.ai/docs/quickstart.md)

Explore our complete API documentation with interactive examples

![](https://www.unsiloed.ai/docs/docs/images/cli.png)

### [API Reference](https://www.unsiloed.ai/docs/api-reference/parser/parse-document.md)

REST API documentation for parsing, extraction, classification, and more

Unsiloed AI parses unstructured documents (PDFs, scans, slides, spreadsheets, and 20+ file formats) into Markdown and structured JSON that LLMs and agents can use directly. The API sits between your raw files and your retrieval, extraction, or automation pipeline.

Generic OCR and text-only LLM parsers lose tables when columns wrap, mangle reading order in multi-column layouts, and produce brittle outputs on the real-world PDFs that show up in invoices, contracts, and forms. Unsiloed AI uses vision and layout models alongside OCR so the structure of the source survives the parse.

## API Capabilities

The API covers four document operations:

> [card] [Parse Documents](https://www.unsiloed.ai/docs/document-processing/parsing/parsing.md)
>
> Convert PDFs, DOCX, PPTX, images, and more into hierarchical Markdown chunks. Tables, figures, formulas, and headers are preserved as first-class segments with bounding boxes.

> [card] [Extract Structured Data](https://www.unsiloed.ai/docs/document-processing/extraction/extraction.md)
>
> Define a JSON schema and get back typed fields with word-level citations and per-field confidence scores. Useful for invoices, claims, KYC forms, and any pipeline that needs auditability.

> [card] [Split Multi-Document Files](https://www.unsiloed.ai/docs/document-processing/splitting/splitting.md)
>
> Detect document boundaries inside merged or scanned batches and return each one separately. Works on layout, content, or custom rules.

> [card] [Classify Documents](https://www.unsiloed.ai/docs/document-processing/classification/classification.md)
>
> Route incoming files to the right downstream pipeline by classifying them against a list of categories you define.

## Use Unsiloed from Claude

> [card] [MCP Server](https://www.unsiloed.ai/docs/integrations/mcp-server.md)
>
> Add Unsiloed as a remote MCP connector in Claude.ai or Claude Desktop. Parse, classify, and extract from chat — OAuth-based, no API key pasting.

> [card] [Claude Tool-Use Integration](https://www.unsiloed.ai/docs/integrations/claude-integration.md)
>
> Drop-in Anthropic tool-use schemas for calling Unsiloed directly from the Claude API.

## Built for Production Pipelines

The API is designed for the things teams hit when they move document workflows out of a prototype.

### Production Workloads

<ul>
  <li>Asynchronous processing for large and multi-page documents</li>
  <li>Deterministic outputs with confidence scores and word-level bounding boxes</li>
  <li>Broad multi-format support across PDFs, DOCX, PPTX, images, and more</li>
  <li>Scalable infrastructure for high-throughput enterprise workloads</li>
</ul>

### Developer Experience

<ul>
  <li>Clean REST APIs with stable versioned contracts</li>
  <li>Schema-driven extraction with validation, confidence, and traceability</li>
  <li>Interactive playground for testing API requests, schemas, and outputs</li>
  <li>Predictable error handling for reliable production integrations</li>
</ul>

## Common Use Cases

* &#x20;**Finance:** Parse financial statements, reports, and regulatory filings into structured, machine-readable data.
* &#x20;**Legal:** Extract clauses, entities, dates, and obligations from contracts and legal documents.
* &#x20;**Healthcare:** Structure clinical documents, forms, and records for downstream systems and workflows.
* &#x20;**RAG & Automation:** Parse, chunk, classify, and route documents to power reliable RAG pipelines and document-driven automations.

## Next Steps

**1. Get an API Key**

[Sign up on Unsiloed AI](https://cal.com/aman-mishra-p0ry57/15min) to receive a key.

**2. Parse Your First Document**

Follow the [Quickstart](https://www.unsiloed.ai/docs/quickstart.md) guide to submit a document and read back chunks.

**3. Extract Structured Fields**

Define a JSON schema and pull typed values out of a document. See the [extraction guide](https://www.unsiloed.ai/docs/document-processing/extraction/extraction.md).

**4. Explore the Rest of the API**

Browse the [API reference](https://www.unsiloed.ai/docs/api-reference/parser/parse-document.md) for parsing strategies, classification, splitting, and batch endpoints.

## Need Help?

> [card] [Documentation](https://www.unsiloed.ai/docs/document-processing/parsing/parsing.md)
>
> Guides for parsing, extraction, classification, and splitting, plus the full API reference.

> [card] [Support](mailto:support@unsiloed.ai)
>
> Email [support@unsiloed.ai](mailto:support@unsiloed.ai) to reach the team.


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