Documents in, structured data out

Klaaro runs an AI pipeline on every upload — OCR, classification, schema generation, and extraction — then exposes the result through a REST API, official SDKs, and an MCP server for coding agents. Automate the same workflows you use in the dashboard.

Get started in minutes

1. Create an API key — Team → API keys in the dashboard. Keys use Authorization: Bearer sk_….
2. Pick a dataset — Copy its ID from the dashboard URL or list datasets via GET /api/v1/datasets.
3. Run a recipe — Upload a document, wait for the pipeline, then read or export records.

Open quickstart Get API key

Guides

Learn the data model, integrate with code, or connect your tools.

How it works

Teams, datasets, documents, and records — plus the pipeline from upload through OCR, classification, schema, and extraction.

Quickstart

Copy-paste recipes in TypeScript, Python, and Bash. Set env vars once, upload a file, poll for completion, and export results.

SDKs

Official TypeScript and Python clients with typed models, multipart uploads, pagination, and webhook verification.

MCP

Give Cursor, Claude Code, or Copilot access to your datasets, documents, and records over Streamable HTTP.

Integrations

Ingest via upload, URL, or webhooks. Export to CSV, Excel, or JSON — and wire automation with n8n, Zapier, or Make.

Reference

Base URL: https://klaaro.ai/api/v1 (or your deployment origin).

API reference

Interactive v1 docs with try-it requests, schemas, and code samples for every endpoint.

OpenAPI spec

Machine-readable schema for codegen, Postman, and custom clients.