audio-transcriber

To convert audio files to text, this Skill transcribes popular formats like OGG, WAV, and MP3 using Google Speech Recognition or offline Whisper. It is designed for transcribing voice notes and recorded lectures into readable text.

Yes, you can run speech-to-text conversion offline using openai-whisper. The Skill supports offline transcription through Whisper, ensuring audio-to-text conversion without requiring an internet connection.

Yes, you need ffmpeg and python3 to transcribe audio messages. ffmpeg handles audio format conversion for supported types, while python3 runs the speech_recognition and openai-whisper libraries required for the transcription process.

The best way to transcribe OGG and MP3 audio files to text is using this Skill, which automatically handles format conversion via ffmpeg. It processes the audio input and outputs accurate text using Google Speech Recognition or Whisper.

Google Speech Recognition and openai-whisper serve as alternative engines for audio transcription within this Skill. Google requires an online connection, whereas Whisper provides offline speech-to-text capabilities for your audio files.

Audio to text conversion might fail with unsupported formats if ffmpeg is not properly configured to handle the conversion. This Skill requires ffmpeg to process popular formats like OGG, WAV, and MP3 before speech recognition.