Transcribe audio files into text using local speech recognition models.
npx skills add https://github.com/augustscl/awesome-xiawang-skills --skill asr-augustscl
Please help me install this Agent Skill. Skill: asr Source: https://github.com/augustscl/awesome-xiawang-skills/tree/main/asr Command: npx skills add https://github.com/augustscl/awesome-xiawang-skills --skill asr-augustscl
Converts audio recordings into readable, editable text without sending data to external APIs, preserving privacy and enabling fast local transcription for meetings, interviews, and notes.
Transcribe the audio file meeting.m4a with polish enabled.
High-intent search queries and answers about installing and using this skill.
Offline transcription converts audio files to text locally using speech recognition models like sensevoice and whisper-tiny.en. It processes meetings, interviews, and recordings directly on your machine, preserving privacy without external API calls.
Offline speech recognition supports transcription in Chinese, English, Japanese, Korean, and Cantonese. It automatically detects the spoken language and returns metadata including the detected language alongside the transcribed text.
Yes, local audio transcription requires coli asr to run speech recognition models and recommends ffmpeg for audio file processing. These tools enable offline conversion of recordings into text with metadata like duration and emotion.
Yes, optional AI polishing fixes punctuation, removes filler words, and improves readability while preserving meaning. Polished transcripts can be exported as Markdown files with metadata including language, emotion, event, and duration.
Audio transcription returns JSON metadata containing the transcribed text, detected language, emotion, event, and duration. This metadata is exported alongside polished Markdown output for archiving or sharing.
Local speech recognition is ideal for short recordings, voice notes, meetings, interviews, and podcasts. It processes audio offline using sensevoice or whisper-tiny.en models, ensuring data privacy for sensitive content.
guoqiaoTranscribe audio files locally using MLX on Apple Silicon.
Michael-F-BryanPolish raw podcast and interview transcripts into publish-ready Markdown.
silversteinAdd timestamped plain-text notes to active recordings or meeting files.
majunbaoTranscribe local audio files to text using the Whisper CLI.
