Video to Text (Groq)
Skill AktivTranscribe video/audio URL or local file to text + SRT using yt-dlp + Groq Whisper API (free tier). Preferred default for v2 transcription. Returns raw text and segments; summary is caller's responsibility.
Transcribe video or audio content from various sources into text and SRT subtitles for further processing or analysis.
Funktionen
- Transcribes video/audio URLs and local files.
- Generates raw text output.
- Generates SRT subtitle files.
- Uses yt-dlp for audio extraction.
- Leverages Groq Whisper API for transcription.
Anwendungsfälle
- Extracting text from video lectures or presentations.
- Generating subtitles for video content.
- Transcribing podcast audio for searchability.
- Converting audio recordings into searchable text documents.
Nicht-Ziele
- Producing a summary of the transcribed content.
- Handling transcription for unsupported audio/video formats.
- Providing transcription without a valid Groq API key.
Workflow
- Extract audio from the provided URL or local file using yt-dlp.
- Prepare the extracted audio file (e.g., conversion if needed via ffmpeg).
- Send the audio file to the Groq Whisper API for transcription.
- Receive transcription results (raw text and SRT segments) from the API.
- Return structured JSON output containing text, SRT, and metadata.
Praktiken
- Transcription
- Content extraction
- API integration
Voraussetzungen
- GROQ_API_KEY environment variable set
- yt-dlp installed
- ffmpeg installed
Trust
- warning:Issues AttentionThere are 17 open issues and 3 closed issues in the last 90 days, indicating a low closure rate and potentially slow maintainer response.
Installation
npx skills add 0xmariowu/AutosearchFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
Vertrauenssignale
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