Booklet.ai Documentation
Booklet.ai makes it easy to turn your already deployed Machine Learning Model into a complete web application.
When connected to your deployed ML model, Booklet creates a responsive user interface for model inference and makes it easy to integrate your model into your existing services.
Booklet.ai is free to use for your first ML model.
Need help?
Email us at support@booklet.ai. We typically respond within an hour during the business day.
Key Features
Booklet is designed to help data scientists implement the software-engineering portion of an ML model deployment. This is done with the following features:
- Connects to models across multiple platforms - SageMaker, AzureML, MLFlow, and custom models are supported.
- Create a web app without code - there’s no need for Flask, Docker, React, etc. Tell Booklet about your input schema and we do the rest.
- Create an HTTP API without code - Expose a RESTful web service for model inference to your engineering team or to the public.
- Integrate - Easily connect your model to your business systems (data warehouses, CRM systems, and more).