$ loading_
Transcribe audio into structured notes with speakers, timestamps, summaries, and action items.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "audio-transcription-mcp" yet — see the docs or source repo.
Please transcribe this WAV meeting recording, identify different speakers, keep timestamps, and output Markdown meeting notes with a summary and action items.
A Markdown document containing segmented transcripts, speaker labels, timestamps, a meeting summary, and an action item list.
Transcribe this MP3 interview recording into text with speaker diarization, and generate a brief summary for archiving and future reference.
An archive-ready Markdown interview record with speaker separation, timestamps, and a summary.
Please convert this lecture audio into written notes, label speakers, and include key takeaways plus follow-up questions.
Structured lecture notes with the full transcript, speaker labels, key takeaways, and a list of follow-up questions.
Enable AI to transcribe audio, detect languages, and extract metadata.
Transcribe audio into multilingual text with optional GPT-based post-processing.
Transcribe audio and video into multiple text formats with batch processing.
Transcribe audio into text with Whisper models over stdio or HTTP.
Convert text and speech with voice listing, TTS, and transcription tools.
Convert speech into text for note-taking, organization, and analysis.