# Klaaro.ai

> Klaaro.ai takes documents and delivers clarity. Documents in, structured database/Excel out. We extract structured data from documents using an AI-powered pipeline: document loading (Mistral OCR), classification, schema generation, and data extraction — fully automatic end-to-end, with manual overrides and re-runs.

Klaaro is multi-tenant: users belong to a team, teams own one or more datasets, and documents belong to a dataset. Pipeline configuration (classifications, dynamic labels, schemas) is per-dataset. A developer API, official TypeScript/Python SDKs, and an MCP server expose the full pipeline for automation and AI assistants.

Prefer the markdown links below over scraping HTML. Page twins use the same path with `.md` appended (home is `/index.html.md`).

## API Documentation

- [API Docs](https://klaaro.ai/api/docs): Interactive OpenAPI reference (Scalar) for /api/v1
- [API Docs (Markdown)](https://klaaro.ai/api/docs.md): Same API reference in markdown for agents
- [Full Documentation](https://klaaro.ai/llms-full.txt): Product overview plus complete API docs in a single file
- [OpenAPI spec](https://klaaro.ai/api/v1/openapi): Machine-readable OpenAPI 3.1 JSON

## Product

- [Home](https://klaaro.ai/index.html.md): Overview of Klaaro.ai — extract structured data from documents with AI workflows
- [Product](https://klaaro.ai/product.md): OCR, classification, schemas, extraction, validation, human-in-the-loop review
- [Pricing](https://klaaro.ai/pricing.md): Plans and pricing
- [Team](https://klaaro.ai/team.md): People behind Klaaro
- [Energy](https://klaaro.ai/industries/energy.md): Industry landing for energy document processing
- [Construction](https://klaaro.ai/industries/construction.md): Industry landing for construction document processing
- [Logistics](https://klaaro.ai/industries/logistics.md): Industry landing for logistics document processing

## Documentation

- [Documentation overview](https://klaaro.ai/docs.md): API, quickstart, SDKs, MCP, and integrations
- [How it works](https://klaaro.ai/docs/how-it-works.md): Application model and Document Engine pipeline
- [API (v1) page twin](https://klaaro.ai/docs/api/v1.md): Markdown twin of the interactive API docs page
- [Quickstart](https://klaaro.ai/docs/quickstart.md): TypeScript, Python, and Bash recipes for /api/v1
- [SDKs](https://klaaro.ai/docs/sdk.md): Official TypeScript (`npm install klaaro`) and Python (`pip install klaaro`) clients
- [MCP](https://klaaro.ai/docs/mcp.md): Connect Cursor, Claude Desktop, and other MCP clients
- [Integrations](https://klaaro.ai/docs/integrations.md): Upload, URL ingest, webhooks, and automation

## Comparisons

- [Comparisons overview](https://klaaro.ai/compare.md): How Klaaro compares to other ways of turning documents into structured data
- [Klaaro vs Claude](https://klaaro.ai/compare/claude.md): Schema-structured, validated document extraction versus a general-purpose LLM

## Legal

- [Terms of Service](https://klaaro.ai/terms.md): Terms governing use of Klaaro.ai
- [Privacy Policy](https://klaaro.ai/privacy.md): How Klaaro handles data
- [Refund Policy](https://klaaro.ai/refund.md): Refund terms
- [Legal Notice](https://klaaro.ai/legal-notice.md): Imprint for synsugar GmbH (Passau, Germany)