openvino

openvino is a speech (TTS/STT) tool - OpenVINO™ is an open source toolkit for optimizing and deploying AI inference.

Overview

Open-source software toolkit for optimizing and deploying deep learning models.

• Inference Optimization: Boost deep learning performance in computer vision, automatic speech recognition, generative AI, natural language processing with large and small language models, and many other common tasks. - Flexible Model Support: Use models trained with popular frameworks such as PyTorch, TensorFlow, ONNX, Keras, PaddlePaddle, and JAX/Flax. Directly integrate models built with transformers and diffusers from the Hugging Face Hub using Optimum Intel. Convert and deploy models without original frameworks. - Broad Platform Compatibility: Reduce resource demands and efficiently deploy on a range of platforms from edge to cloud. OpenVINO™ supports inference on CPU (x86, ARM), GPU (Intel integrated & discrete GPU) and AI accelerators (Intel NPU). - Community and Ecosystem: Join an active community contributing to the enhancement of deep learning performance across various domains.

Check out the OpenVINO Cheat Sheet and Key Features for a quick reference.

Check system requirements and supported devices for detailed information.

OpenVINO Quickstart example will walk you through the basics of deploying your first model.

Discover more examples in the OpenVINO Samples (Python & C++) and Notebooks (Python).

openvino is open-source, written primarily in C++, with 10,342 GitHub stars under the Apache 2.0 license. The latest release is 2026.2.0 (2026-05-28).

Key capabilities

From the project's documentation:

• Intel® Geti™ - an interactive video and image annotation tool for computer vision use cases.
• OpenVINO channels on the Intel DevHub Discord server.
• The openvino tag on Stack Overflow.
• OpenVINO™ toolkit on Medium

Install

A quick way to get started (always check the official docs for the latest):

pip install -U openvino

How it fits a local-AI stack

openvino runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related speech (TTS/STT) tools in the directory:

• Kokoro TTS
• Miso One / MisoTTS
• Piper TTS
• Sherpa Onnx

Sources

• Source code & docs: openvinotoolkit/openvino
• Official website: https://docs.openvino.ai

Stats from GitHub, 2026-06-08.