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Transcribe audio into text with Whisper models over stdio or HTTP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mini_whisper_mcp" yet — see the docs or source repo.
Use mini_whisper_mcp to transcribe this base64-encoded meeting audio and return the Chinese text in chronological order: {{base64_audio}}A complete meeting transcript suitable for notes, summaries, or follow-up actions.
Call mini_whisper_mcp and use an appropriate Whisper model to convert this interview audio into text while preserving the original wording: {{base64_audio}}An accurate interview transcript for editing, quoting, or content creation.
Show how to call mini_whisper_mcp over HTTP to transcribe base64 audio and return plain text for downstream processing.
A transcription call pattern and plain-text output format that can be integrated into scripts or workflows.
Transcribe audio into multilingual text with optional GPT-based post-processing.
Transcribe audio and video into multiple text formats with batch processing.
Transcribe audio to text with speaker diarization for meetings and interviews.
Transcribe audio or video from URLs or files into usable text.
Enable AI to transcribe audio, detect languages, and extract metadata.
Access text-to-speech, speech-to-text, and voice management via ElevenLabs API.