Welcome to Tensorlake! Whether you’re building a RAG system, an Agentic app, we provide APIs to build your data pipelines easily from Documents, Text or Images.

Tensorlake gives you tools to:

  • Extract: Schema-driven structured data extraction to pull out specific fields from documents.
  • Parse: Convert documents to markdown to build RAG/Knowledge Graph systems.
  • Orchestrate: Build programmable workflows for large-scale ingestion and enrichment of Documents, Text, Audio, Video and more.

Use Cases

There are a number of use-cases for processing unstructured data such as PDFs and Text in Healthcare, Legal, Finance, Insurance, and more. Learn more about what you can build with Tensorlake.

We provide two main APIs:

  • Document Ingestion API: The API endpoints for all your document ingestion needs. They can be integrated into your existing pipelines and applications.
  • Workflows API: An SDK to build custom serverless workflows and expose them as Data APIs to ingest, transform and enrich data of any modality.

Choose your interface

  • Playground — no-code interface to test and explore document parsing
  • Python SDK — Python client for Document Ingestion API, and SDK for building and deploying custom workflows.
  • HTTP API — Document Ingestion API and Workflows APIs are exposed as REST endpoints to make it easy to integrate from any application.

Quick Start

Get started with Document Ingestion

Try the Playground

Start parsing documents and extracting structured data without writing any code

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Need help? Have a feature suggestion? Let us know!

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