whisper-transcribe

You can transcribe audio to text locally without an API key by installing OpenAI Whisper via pip or conda. This enables offline speech-to-text processing for meetings, lectures, and podcasts directly on your machine.

Whisper speech-to-text transcription supports multiple output formats including txt, srt, vtt, json, and tsv. You can specify your desired format using the output_format flag when running the transcription command.

Yes, you can transcribe video files using the OpenAI Whisper API by providing your API key and submitting the file via a curl request to the audio transcriptions endpoint. The API processes the video's audio track to generate text.

Whisper offers tiny, base, small, medium, and large models for transcription. Choose smaller models like tiny or base for faster processing, or larger models like medium and large for greater transcription accuracy.

Whisper handles multilingual audio for both transcription and translation tasks. You can use the task translate flag to convert spoken foreign language audio into English text during the speech-to-text process.

Yes, offline Whisper transcription requires installing the openai-whisper package via pip or conda. This local installation allows you to run speech-to-text workflows entirely offline without needing an OpenAI API key.