openai-whisper

You can transcribe audio offline by using the Whisper CLI to process local audio files into text without sending data to external services. This requires having the Whisper CLI installed and models cached locally on your machine.

Local speech-to-text transcription processes audio files entirely on your machine using the Whisper CLI, ensuring data privacy. It converts spoken audio into text without uploading files to cloud APIs, keeping sensitive recordings secure and isolated.

Yes, you can translate audio using the Whisper CLI by specifying the translation task. The CLI supports multi-language audio input and can generate translated text output alongside standard transcription workflows.

No, you do not need an API key to transcribe audio files. Local transcription with the Whisper CLI operates entirely offline without relying on external services, requiring only the CLI tool installed and models cached locally.

The best way to generate a local text transcript is using the Whisper CLI with the command `whisper /path/audio.mp3 --model medium --output_format txt`, which processes the audio offline and outputs a text file.

Offline transcription with Whisper requires the Whisper CLI to be installed locally and the necessary models to be cached on your machine. It supports standard transcription and translation tasks via the CLI without external dependencies.