transcription

Transcribe audio and video files into text using OpenAI Whisper, which provides reliable speech-to-text conversion with detailed timing information for precise synchronization.

Generate SRT and VTT subtitles from video automatically using Whisper transcription, outputting structured subtitle files with accurate timestamps for direct media playback integration.

Speaker diarization works with OpenAI Whisper by integrating pyannote.audio, identifying and labeling different speakers in multi-speaker audio files for clear transcript attribution.

You need ffmpeg to extract audio from video files for transcription processing, ensuring the media is properly formatted for Whisper to accurately parse the speech content.

Optimize transcription quality for large audio files by selecting the appropriate Whisper model size based on accuracy needs, applying quality optimization techniques during processing.

Whisper model selection affects transcription speed and accuracy by balancing processing time against precision, allowing you to choose smaller models for speed or larger models for accuracy.