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 text or speaker-separated transcripts with OpenAI APIs.
Transcribe audio, video, and podcasts into speaker-labeled timed subtitles.
Industrial speech recognition for multilingual transcription, diarization, and emotion detection.
Transcribe audio and video locally into English and Chinese text.