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Transcribe local audio with speaker diarization into structured text directly in AI tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "vibevoice-asr" yet — see the docs or source repo.
Use vibevoice-asr to transcribe this meeting audio with speaker diarization enabled. Output chronologically with speaker labels, timestamps, and utterances, then summarize 5 key takeaways.
A timestamped meeting transcript with speaker labels, plus a summary of key takeaways.
Use vibevoice-asr to transcribe this interview, distinguish the interviewer and interviewee, and format it into a readable transcript while removing obvious filler words.
A clean, role-separated interview transcript suitable for editing or publication.
Please transcribe this lecture audio with vibevoice-asr, split it by topic, and extract the key points and terminology list for each section.
Topic-organized lecture notes including the transcript, key summaries, and a terminology list.
Transcribe audio or video to text with optional speaker labeling.
Transcribe audio to text with speaker diarization for meetings and interviews.
Transcribe audio into structured notes with speakers, timestamps, summaries, and action items.
Transcribe audio into text or speaker-separated transcripts with OpenAI APIs.
Transcribe audio, video, and podcasts into speaker-labeled timed subtitles.
Transcribe audio to text locally with Whisper CLI, no API key required.