Enables AI assistants to transcribe audio files from URLs or local paths using AssemblyAI's services, with support for speaker diarization, language detection, and asynchronous job management through a standardized MCP interface.
Enables automated audio restoration, transcription, and speaker diarization via MCP tools for queuing files, monitoring progress, and retrieving speaker-labeled transcripts.
MCP server for audio transcription with speaker diarization. Transcribes MP3/WAV files using Faster-Whisper and pyannote.audio, outputs markdown with speaker labels, timestamps, summaries, and action items.
MCP server that enables audio transcription from files (wav, mp4, mp3, flac) or microphone recording, with dynamic tool selection and enterprise-grade security.
MCP server that converts videos, audio, and meeting recordings into structured transcripts and summaries with multi-backend ASR and automatic fallback.
Transcribes meeting recordings with speaker diarization and automatic speaker identification, leveraging project context to generate minutes. Supports various ASR engines and offers privacy-preserving local processing.
