Transcribe spoken audio into text with optional English translation using OpenAI Whisper.
npx skills add https://github.com/ZardLi1115/zedclaw --skill whisper-zardli1115
Please help me install this Agent Skill. Skill: whisper Source: https://github.com/ZardLi1115/zedclaw/tree/main/optional-skills/mlops/whisper Command: npx skills add https://github.com/ZardLi1115/zedclaw --skill whisper-zardli1115
Whisper solves the problem of converting spoken audio into readable text, including multilingual transcription and optional translation to English, so you can turn recordings into searchable content.
Use the whisper model to transcribe your audio file audio.mp3 and return the text output.
High-intent search queries and answers about installing and using this skill.
OpenAI Whisper transcribes spoken audio into written text by providing segment and word-level timestamps. You get accurate transcripts with precise timing alignment suitable for subtitle creation and meeting notes generation.
Whisper handles multilingual transcription across 99 languages and can translate non-English speech into English text. It identifies the spoken language automatically and converts the audio content for cross-language workflows.
You can generate subtitles and meeting notes by feeding your audio file into Whisper. The transcribe task produces timestamped text segments that align directly with the original spoken audio for subtitle formatting.
Processing podcast audio with Whisper converts spoken content into readable, searchable text. It uses models from tiny to large or turbo to balance speed and accuracy for podcast transcription tasks.
Whisper runs locally using torch and transformers dependencies for speech-to-text processing. Once the selected model is loaded, it transcribes audio files without requiring external API calls or continuous internet connectivity.
Whisper offers model sizes from tiny to large and turbo. Larger models provide higher transcription accuracy for complex audio, while smaller models process faster for straightforward speech-to-text tasks.
gqf2008Transcribe and translate audio across 99 languages with openai-whisper.
hmzainjamilConvert audio and video recordings into transcripts, subtitles, and meeting notes.
Orchestra-ResearchTranscribe and translate multilingual audio into text using OpenAI's Whisper speech recognition models.
imchangchangTranscribe audio files locally using Whisper models via Whisper.cpp.
