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.

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.

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Tensorlake across industries

Tensorlake is useful across many use cases. For example:

• In insurance you can:
  • Parse ACORD forms for insurance worklfows
  • Validate signaures on insurance claims
• When building agents or RAG workflows, you can:
  • Ensure agents are able to understand relevant documents
  • Parse documents into structured schema fields and clean, layout-aware chunks for precise, filterable context for your retrieval system
• When solving for legal and compliance challenges, you can:
  • Quickly analyze contracts
  • Detect missing signatures in legal contracts

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Choose your interface

You can use Tensorlake through the Cloud Playground, the Python SDK, or the REST API.

• 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.
• REST API — Document Ingestion API and Workflows APIs are exposed as REST endpoints to make it easy to integrate from any application.

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