Show HN: PrivateWhisper – Run Whisper locally on macOS (offline transcription) (privatewhisper.app)

PrivateWhisper has launched a speech-to-text application exclusively for macOS users, allowing them to transcribe audio fully offline, with no need for cloud services. This innovative app leverages the open-source Whisper model to convert audio from various sources—like microphone recordings and videos—into text without uploading any data, ensuring complete privacy. Users can produce transcripts in a variety of formats, including .txt, .srt, and .pdf, and the app boasts support for over 98 languages. This release is significant for the AI/ML community, emphasizing a growing demand for privacy-focused tools in a landscape where many transcription services rely on cloud processing. By running entirely on M1 and M2 Apple Silicon, PrivateWhisper offers a fast and simple user experience without the complications of installation or server dependency. Furthermore, it brings attention to the importance of user-friendly applications in AI development, catering to creators, students, and professionals who need reliable and secure transcription solutions. The application is designed with future updates compliant with user feedback, enhancing its capabilities over time while maintaining a commitment to user privacy.