Outspeed is a PyTorch-inspired SDK for building real-time AI applications on voice and video input. It offers:

• Low-latency processing of streaming audio and video
• Intuitive API familiar to PyTorch users
• Flexible integration of custom AI models
• Tools for data preprocessing and model deployment

Ideal for developing voice assistants, video analytics, and other real-time AI applications processing audio-visual data.

You can install outspeed SDK from pypi using

pip install outspeed

This would install the core outspeed package. You can read docs to get started.

You can read the docs to learn more about the SDK.

To deploy your realtime function on Outspeed's infra, you can use the outspeed deploy CLI.

# functions.py contains your realtime function code
outspeed deploy --api-key=<your-api-key> functions.py

Contact us to get an API key and deploy.

Once deployed, you can use the playground in the examples repo to test the deployed code.

All the examples are available in the examples folder. To install the package so that all examples run, use:

pip install 'outspeed[plugins,torch]'

Or, if you're using poetry:

poetry add 'outspeed[plugins,torch]'

This will install all the additional libraries that are required for examples to work.