This repository is an "awesome list" curating resources for OpenAI's Whisper, an open-source AI-powered speech recognition system. It serves as a comprehensive directory for developers, researchers, and users looking to leverage or build upon Whisper's capabilities, offering a wide range of model variants, applications, tools, and community resources.

How It Works

This list aggregates various implementations and extensions of OpenAI's Whisper model. It highlights optimized versions like faster-whisper (using CTranslate2) and Whisper JAX (for TPUs), as well as specialized variants for speaker diarization, timestamping, and different hardware platforms (OpenVINO, TensorFlow Lite). The goal is to provide access to faster, more feature-rich, or more accessible versions of the core Whisper technology.

Quick Start & Requirements

• Installation and usage vary significantly depending on the specific tool or library chosen from the list. Many projects are Python-based, often requiring pip installation.
• Some implementations may require specific hardware (e.g., GPUs, TPUs), particular CUDA versions, or large datasets for fine-tuning.
• Links to official documentation, demos, and source code are provided for each listed item.

Highlighted Details

• Extensive coverage of model variants, including performance-optimized CTranslate2 and JAX implementations.
• A broad spectrum of applications, from native macOS/iOS apps to web UIs and CLI tools.
• Resources for advanced features like speaker diarization and word-level timestamps.
• Community-driven playgrounds and tutorials for hands-on experience.

Maintenance & Community

• The list is maintained by Sindre Sorhus, a prolific open-source contributor.
• Community discussions are available via Discord.
• Related lists for other AI technologies are linked.

Licensing & Compatibility

• The licensing of individual projects varies; users must check the specific license for each tool or application. OpenAI's Whisper model itself is open-source.
• Compatibility for commercial use depends on the licenses of the specific Whisper implementations and applications.

Limitations & Caveats

• This is a curated list, not a single unified project. Users must evaluate the maturity, licensing, and specific requirements of each individual resource.
• Some applications are freemium or closed-source, despite being listed alongside FOSS options.