Transcribe audio and video files using local and cloud speech recognition.
npx skills add https://github.com/Desko77/cursor-1c-skills --skill transcribe-desko77
Please help me install this Agent Skill. Skill: transcribe Source: https://github.com/Desko77/cursor-1c-skills/tree/main/skills/transcribe Command: npx skills add https://github.com/Desko77/cursor-1c-skills --skill transcribe-desko77
This Skill simplifies the process of transcribing audio and video files, allowing you to quickly capture and analyze key information.
Use the transcribe skill to transcribe the audio file 'interview.mp3'.
High-intent search queries and answers about installing and using this skill.
You can transcribe audio and video files by applying this Skill's local and cloud-based speech recognition engines to convert speech to text. It efficiently captures key information for meeting summaries and note-taking.
Yes, running faster-whisper for audio transcription requires a CUDA GPU for local processing and a Gemini API key for cloud-based speech recognition. Python and ffmpeg are also required dependencies.
The best way to extract key points from a long interview recording is to use this Skill to transcribe the audio, identify speakers, and analyze the resulting text. This process captures key information in minutes.
Yes, you can use ffmpeg with this Skill to transcribe video content, including analysis of on-screen interfaces and speaker identification. It processes video speech-to-text conversions efficiently.
Faster-whisper supports local speech-to-text conversion, but this Skill also relies on the cloud-based Gemini API for full functionality. Local processing requires a CUDA GPU to operate.
NVIDIAInstall NVIDIA cuOpt via pip, conda, or Docker with CUDA version matching.
beshkenadzeConvert meeting transcripts into structured notes with decisions and action items.
elizaOSGenerate speech audio files locally with sherpa-onnx and Node.js.
VYRE-StudiosTranscribe speech from audio files into text using OpenAI Whisper models.
