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Found 71 Skills
Transcribe audio to text with Whisper models via inference.sh CLI. Models: Fast Whisper Large V3, Whisper V3 Large. Capabilities: transcription, translation, multi-language, timestamps. Use for: meeting transcription, subtitles, podcast transcripts, voice notes. Triggers: speech to text, transcription, whisper, audio to text, transcribe audio, voice to text, stt, automatic transcription, subtitles generation, transcribe meeting, audio transcription, whisper ai
Implement the Syncfusion React SpeechToText component. Use this skill to convert speech to text, manage microphone input, control listening states, process speech events, customize UI, support accessible voice-enabled forms, and handle globalization and security in React applications.
Transcribe audio files to text using OpenAI Whisper
Access Telnyx LLM inference APIs, embeddings, and AI analytics for call insights and summaries. This skill provides REST API (curl) examples.
Generate (TTS), Transcribe (STT), and Clone voices using Google's GenAI and Cloud Speech SDKs. Supports Gemini-TTS, Chirp 3, and Instant Custom Voice.
Watermark-free Douyin video download and transcript extraction tool. Retrieve watermark-free video download links from Douyin share links, download videos, extract voice transcripts from videos and automatically save them to files. Applicable scenarios include obtaining Douyin video information, downloading watermark-free videos, and batch extracting video transcripts. Triggered when users need to process Douyin video links or extract video content.
Implement the Syncfusion ASP.NET Core SpeechToText control for converting spoken words to text using Web Speech API. Use this skill when implementing speech recognition with Razor Tag Helpers, converting voice to text in ASP.NET Core applications, handling microphone input, processing speech events, customizing button appearance, managing listening states, or building accessible voice-enabled forms. Covers setup, speech recognition features, Razor Tag Helper syntax, events, methods, globalization, and security.
Stream call audio in real-time, fork media to external destinations, and transcribe speech live. Use for real-time analytics and AI integrations. This skill provides JavaScript SDK examples.
Access Telnyx LLM inference APIs, embeddings, and AI analytics for call insights and summaries. This skill provides Python SDK examples.
Transcribe audio and video files using the Deepgram API. This skill should be used when the user requests transcription of audio files (mp3, wav, m4a, aac) or video files (mp4, mov, avi, etc.). Handles large video files by extracting audio first to reduce upload size and processing time.
Transcribe audio files using Qwen ASR. Use when the user sends voice messages and wants them converted to text.
Transcribe video files directly into timed transcripts and subtitle-ready artifacts using hosted Whisper video-to-text. Use this when the input is a video and the goal is speech extraction, caption generation, or edit-prep timing.