# Tensorlake

Tensorlake is a document intelligence and data platform that converts messy real-world files — PDFs, scanned documents, forms, tables, and images — into clean, structured output that AI applications and agents can actually use. Its document ingestion API combines layout understanding, OCR, table and figure extraction, and schema-based structured extraction, so teams can pull specific fields and tables out of complex documents with high accuracy instead of writing brittle parsing code. Beyond one-off parsing, Tensorlake provides a serverless platform for building data workflows that run reliably at scale, making it suited to high-volume pipelines in finance, insurance, healthcare, and operations where documents drive decisions. By turning unstructured documents into dependable JSON and markdown, it becomes the ingestion layer for RAG systems, agents that read paperwork, and automation that depends on accurate extraction. Tensorlake targets developers and data teams building AI products that need to reason over large, varied document collections without bespoke extraction engineering.

## Quick facts

- Categories: LLM, Developer Tools, Data Analysis, Automation
- Pricing: Freemium (free plan + paid tiers)
- Free plan: Yes
- Official site: https://www.tensorlake.ai
- Last checked: 2026-11-02

## Links

- Nextool.ai page: https://nextool.ai/tools/tensorlake/
- Alternatives: https://nextool.ai/alternatives/tensorlake/

Source: Nextool.ai (https://nextool.ai/tools/tensorlake/). Pricing and features change; confirm on the provider's site before relying on them.