speech-to-text

Transcribe audio and video content into accurate text with word-level timestamps and speaker diarization using the ElevenLabs Scribe v2 API. It processes meetings, interviews, and media archives while detecting language hints to speed up content searchability.

Real-time streaming subtitles for video content are supported to provide immediate transcription. The Skill handles live meeting transcripts and media workloads, converting spoken audio into searchable text as the content plays.

Converting speech to text requires an ElevenLabs API key and internet access. The Skill uses the Scribe v2 model to process audio and video inputs, applying language detection and diarization for accurate transcription outputs.

The best way to transcribe long-form interviews and meetings is using batch transcription with the Scribe v2 API. It provides reliable text with optional timestamp data and diarization, ensuring precise subtitles and searchable transcripts for extended media workloads.

Speech-to-text transcription supports batch processing for media archives, converting large volumes of audio and video into searchable text. It applies language hints and speaker diarization to organize extensive content libraries efficiently.

Diarization and language hints improve audio transcription accuracy by separating distinct speakers and identifying spoken languages. This ensures precise word-level timestamps for subtitles and creates searchable, structured transcripts for meetings and interviews.