Speech To Text

rev-ai-automation is a Claude skill for Rev AI workflow automation through Composio Rube MCP. It guides agents to connect Rube, verify the rev_ai connection, search current tool schemas first, and run transcription or related Rev AI tasks with less guesswork.

happy-scribe-automation helps Claude run Happy Scribe workflows through Composio Rube MCP. Learn setup needs, connection checks, tool discovery, and safe usage patterns for transcription, subtitles, exports, and project automation.

gladia-automation is a Claude skill for automating Gladia tasks through Composio Rube MCP, with live tool discovery, connection checks, and schema-based execution before transcription or other workflows.

deepgram-automation is a Claude skill for automating Deepgram tasks through Composio Rube MCP. Use it to discover current tool schemas, verify an active Deepgram connection, and run schema-first workflows.

transcribe turns audio or video into text with optional diarization and known-speaker hints. It is well suited for Technical Writing, meeting notes, interviews, lectures, and content ops when you need a repeatable transcribe skill with clear output formats and less guesswork than a generic prompt.

azure-speech-to-text-rest-py is a Python Azure Speech REST skill for short audio transcription without the Speech SDK. Use it for backend development when you need direct HTTP control, fast setup, and support for audio files up to 60 seconds. The guide covers install, authentication, audio formatting, and when to avoid long audio, streaming, or batch transcription.

The speech-to-text skill transcribes supported audio files into plain text, with options for timestamps, speaker labels, and JSON output. It is designed for practical speech-to-text usage in repeatable workflows, including interviews, meetings, podcasts, lectures, and automation tasks where consistent transcription matters.

The tts skill turns text into speech audio for narration, dubbing, voiceover, and timeline-aligned playback. Use it to generate a voice file from plain text, convert articles or text files to speech, or render SRT-driven audio with timing control. It supports simple and timeline modes, plus backend-aware workflows for repeatable tts usage.

detecting-deepfake-audio-in-vishing-attacks helps security teams analyze audio for AI-generated speech in vishing, fraud, and impersonation cases. It extracts spectral and MFCC-based features, scores suspicious samples, and produces a forensic-style report for review. Ideal for Security Audit and incident response workflows.