Audio Transcription

IntermediaproductivityContexto mínimo: 32K

Transcribes audio recordings into structured text with speaker diarization, timestamps, and formatting. Supports meeting recordings, interviews, podcasts, and lectures. Handles multiple languages and accents with automatic language detection and optional translation.

Casos de uso

  • Transcribing meeting recordings with speaker identification
  • Converting podcast episodes to searchable text
  • Generating subtitles from audio tracks
  • Transcribing interviews with timestamp annotations
  • Multi-language audio translation and transcription

Prompt de ejemplo

Transcribe the following audio recording.

Requirements:
1. Identify and label different speakers (Speaker 1, Speaker 2, etc.)
2. Add timestamps every 30 seconds
3. Correct filler words (um, uh) but preserve meaning
4. Format as structured text with paragraphs per speaker turn
5. Note any unclear or inaudible segments with [inaudible]
6. Provide a brief summary of key discussion points at the end

Audio: [attach audio file]

Modelos recomendados

Herramientas compatibles

kiroany

Modalidades

Entrada: audio, text
Salida: text

Skills relacionadas

Autor

OpenModels Community

@openmodelsrun