Welcome to Tensorlake

We offer APIs to build data-intensive applications for AI Engineering Teams. We take care of the parts of the data ingestion workflows that require extracting information from data and scaling the underlying infrastructure for you.

Most of Enterprise Data lives in documents; we provide a Document AI API that can convert any PDF, Word, or Presentation into Markdown or Structured Data.

It’s incredibly hard to build a Document Parsing solution that can handle diverse document layouts.

Tensorlake breaks down a page into many fragments based on their content and information density. Specialized models then handle each fragment to extract information to preserve as much ground truth as possible.

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Document Ingestion

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Document Parsing

Converts any PDF, Word, or Presentation into Markdown. The Parsing API preserves the Reading Order and Layout of the document.
The ground truth of the document is preserved, without any hallucinations in the OCR Engine. The API can optionally chunk the markdown document into smaller parts.

Use Cases: Indexing Documents into Vector Databases for building RAG Applications, Summarization and Knowledge Graphs.

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Structured Extraction

Extracts structured data from documents. You can provide a schema to the API and it will extract the data according to the provides schema. Custom prompts can be passed into the API to extract specific fields from the document.

Use Cases: Business Process Automation, Data Entry into CRMs, Invoice Processing, etc.

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Demos