Tensorlake is the AI Data Cloud that transforms data from unstructured sources into ingestion-ready formats for AI Applications. It offers APIs for document parsing, structured extraction, and classification, enabling seamless conversion of documents, images, and slides into structured data for LLMs.
Paid
$0.01/page
How to use Tensorlake?
Tensorlake can be used to parse and structure any file type, from hand-written notes to complex spreadsheets, making them ready for retrieval and analysis by LLMs. It supports building and deploying serverless workflows for end-to-end data processing, scaling according to demand.
Tensorlake 's Core Features
API for Document Parsing, Structured Extraction and Classification
Serverless Workflows for End-to-End Data Processing
Seamless conversion of documents into structured JSON or markdown
Scalable processing from a handful to over a million documents
Secure by Design with RBAC and namespaces
Lightning-Fast Serverless Workflows
Tensorlake 's Use Cases
Data scientists can use Tensorlake to preprocess large datasets for machine learning models, significantly reducing preparation time.
Business analysts can automate the extraction of insights from unstructured reports, enhancing decision-making processes.
Developers can integrate Tensorlake APIs to enrich applications with AI-driven data processing capabilities.
Legal professionals can streamline the review of contracts and legal documents by converting them into searchable formats.
Researchers can process and analyze large volumes of academic papers and publications efficiently.
Tensorlake 's Pricing
Document Parsing On-Demand
$0.01/page
Parse any file type into structured JSON or markdown chunks.
Serverless Workflows Compute Costs
From $0.00004/sec
Pay for every second you process data with Serverless Data Workflows.