Analyze, summarize, and extract insights from DeLive transcription sessions. Use when: user mentions DeLive, transcription, meeting transcripts, live captions, audio transcription, AI correction, corrected transcript, or transcript analysis; user wants to search, retrieve, summarize, correct, or process recorded…
Use when turning a YouTube URL or local presentation, explainer, interview, podcast, or product-demo video into complete screenshot-led notes, faithful light-polished text, HTML, PDF, or a shareable ZIP.
Fetch a YouTube transcript and generate an executive summary, key points, and timestamped topic list as a polished HTML report. Activate on YouTube URLs or requests like "summarize this video", "what's this about", "give me the highlights", "TL;DR this", "digest this video", "watch this for me", "I watched this and…
Use when writing an article, newsletter, blog post or long social post that must genuinely be the user's own writing. Triggers on "voiceprint", "write this in my voice", "turn my recording into an article", "cut my transcript down", "make this actually mine", "write from my video". Turns the user's own spoken words…
A workflow that turns a public Xiaoyuzhou FM podcast episode into structured Markdown notes and a saved transcript. Xiaoyuzhou FM is a Chinese podcast platform.
A tool for reading web pages, videos, podcasts, links, and local audio recordings, then producing structured Chinese explanations and answering questions about the source material.
A workflow for transcribing one local audio or video file into a traceable Chinese or mixed Chinese-English transcript, with optional timestamps and subtitle files.
Local speech-to-text using faster-whisper. 4-6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables 20x realtime transcription. SRT/VTT/TTML/CSV subtitles, speaker diarization, URL/YouTube input, batch processing with ETA, transcript search, chapter detection, per-file language map.
Use to turn video URLs or media files into evidence-backed knowledge dossiers with TranscreveAI. Trigger on Reels, YouTube, TikTok, Loom, Vimeo, X/Twitter video links, local media files, video summaries, dossier requests, RAG over video runs, or requests to use TranscreveAI.
Give Claude eyes and ears on any online video, then analyze it. Downloads a video from a URL (YouTube, Instagram, X, Vimeo, and 1000+ yt-dlp sites), extracts key frames, and gets a transcript (native captions, else local Whisper), then hands the frames + timestamped transcript to Claude so it can produce a full…
A tool for downloading WeChat video-channel videos and creating Markdown transcripts from them. WeChat is a messaging and media platform, and a transcript is a written version of spoken audio.
Transcribe video to text from any platform (Bilibili, YouTube, Douyin, Twitter/X, TikTok, Vimeo, etc.). Use when the user provides a video URL and asks for transcript, subtitles, text content, or speech-to-text conversion.
Native knowledge-graph ingestion of Whisper transcripts on the audio-transcriber MCP server — transcribe an audio/video file and push it into the epistemic-graph in one call: the raw audio as a shared :MediaAsset blob, the transcript text as a :Document, and each Whisper segment as a :TranscriptSegment node linked…
A note-making tool for turning YouTube videos, local media, or saved transcripts into detailed study notes. It is intended for requests that explicitly ask for notes or a study outline.
Transcribe YouTube videos and podcast episodes in high quality (Whisper via a configurable API endpoint) and distill compact findings with timestamps. Use whenever the user wants a video "watched", summarized, transcribed or analyzed, drops a YouTube or podcast URL together with a question, asks "what does he say…