Outspeed is a Python SDK designed for building real-time AI applications that process voice and video streams. It targets developers creating applications like voice assistants and video analytics, offering low-latency processing and a PyTorch-like API for integrating custom AI models.

How It Works

The SDK facilitates real-time processing of audio and video streams, enabling developers to build and deploy AI applications with low latency. It provides tools for data preprocessing and model deployment, abstracting away much of the complexity associated with streaming data and AI model integration.

Quick Start & Requirements

• Install: pip install "outspeed[silero]>=0.1.143"
• Prerequisites: Python, silero extras for full example functionality.
• Deployment: Requires an API key for outspeed deploy CLI.
• Docs: https://docs.outspeed.com
• Examples: Available in the examples folder.

Highlighted Details

• PyTorch-inspired API for familiar development experience.
• Low-latency processing for real-time applications.
• CLI for deploying functions to Outspeed's infrastructure.
• Roadmap includes local STT, DeepReel integration, and on-device models.

Maintenance & Community

• Active development with a roadmap for Q4 2024 features.
• Community support via Discord: https://discord.gg/cmffw6syvp
• Contributions are welcomed via Pull Requests.

Licensing & Compatibility

• License not explicitly stated in the README. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The SDK requires an API key for deployment to Outspeed's infrastructure, and the license details are not provided, which may impact commercial adoption. Local model support is planned for Q4 2024.