qwen-asr-localLocal speech-to-text using Qwen3-ASR (CPU-only, no API key, no cloud). Use when: (1) a voice message or audio file needs transcription, (2) user asks to tran...
Install via ClawdBot CLI:
clawdbot install huanglizhuo/qwen-asr-localGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/huanglizhuo/QwenASRUses known external API (expected, informational)
api.github.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Transcribes recorded meeting audio into text for documentation and sharing. Useful for teams in secure environments where cloud services are restricted, ensuring privacy and compliance.
Converts audio from lectures or presentations into text for study notes or accessibility purposes. Enables offline use in classrooms or remote learning without internet dependency.
Transcribes interviews or field recordings on-the-go using local processing. Ideal for journalists in areas with poor connectivity or who require data privacy for sensitive content.
Transcribes doctor-patient conversations into text for medical records. Supports offline operation in clinics or remote areas, enhancing efficiency while maintaining confidentiality.
Generates transcripts from podcast audio files for editing, subtitles, or SEO. Allows creators to work locally without cloud costs or API limits, streamlining post-production.
Offer a free basic version for personal use with limited features, and charge for advanced modes like streaming or segmented transcription. Targets individual users and small teams seeking cost-effective solutions.
Sell licenses to businesses for integration into internal tools, with support for custom deployments and compliance features. Focuses on organizations needing offline, secure transcription capabilities.
Bundle the software with specialized hardware like recording devices or edge computing units for industries like healthcare or journalism. Provides a complete offline transcription solution.
💬 Integration Tip
Ensure ffmpeg is installed for non-WAV audio support, and verify the model path is correctly set for seamless operation.
Scored Jun 19, 2026
Local speech-to-text with the Whisper CLI (no API key).
Transcribe audio files with speaker diarization (who speaks when). Supports 100+ languages, automatic language detection, and timestamps. Use for meetings, interviews, podcasts, or voice messages. Requires AssemblyAI API key.
Turn your AI into JARVIS. Voice, wit, and personality — the complete package. Humor cranked to maximum.
Text-to-speech conversion using node-edge-tts npm package for generating audio from text. Supports multiple voices, languages, speed adjustment, pitch contro...
使用 poocr 库识别发票并导出 Excel。当用户需要识别增值税发票、批量处理发票文件或提取发票信息到 Excel 时调用此技能。
Use when the user has audio or video and wants a timestamped transcript (SRT) in the source language. Routes by source language — Chinese defaults to Volcano...