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Video to Text (Groq)

技能 活跃

Transcribe 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.

目的

Transcribe video or audio content from various sources into text and SRT subtitles for further processing or analysis.

功能

  • 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.

使用场景

  • Extracting text from video lectures or presentations.
  • Generating subtitles for video content.
  • Transcribing podcast audio for searchability.
  • Converting audio recordings into searchable text documents.

非目标

  • Producing a summary of the transcribed content.
  • Handling transcription for unsupported audio/video formats.
  • Providing transcription without a valid Groq API key.

工作流

  1. Extract audio from the provided URL or local file using yt-dlp.
  2. Prepare the extracted audio file (e.g., conversion if needed via ffmpeg).
  3. Send the audio file to the Groq Whisper API for transcription.
  4. Receive transcription results (raw text and SRT segments) from the API.
  5. Return structured JSON output containing text, SRT, and metadata.

实践

  • Transcription
  • Content extraction
  • API integration

先决条件

  • 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.

安装

npx skills add 0xmariowu/Autosearch

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

质量评分

95 /100
1 day ago 分析

信任信号

最近提交3 days ago
星标18
许可证MIT
状态
查看源代码