local-qwen3-asr-aipcLocal offline ASR on Windows — no cloud, no API cost, full privacy. Qwen3-ASR 0.6B + Intel OpenVINO, GPU-accelerated inference. NETWORK: required for first-t...
Install via ClawdBot CLI:
clawdbot install juan-oy/local-qwen3-asr-aipcGrade 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/QwenLM/Qwen3-ASR.gitAudited Apr 17, 2026 · audit v1.0
Generated May 10, 2026
Content creators can transcribe video files (mp4, mkv, etc.) locally without uploading to cloud services, ensuring privacy and zero API costs. The skill auto-extracts audio and generates JSON or TXT transcripts.
Law firms can process multiple audio recordings (e.g., depositions, interviews) in batch mode with automatic language detection and archiving. No internet needed during inference, preserving client confidentiality.
Watch-mode transcription continuously processes new audio files dropped into a folder, ideal for corporate meeting recordings. Transcripts are automatically archived with timestamps.
Doctors can dictate notes using video or audio files that are transcribed offline on a local Windows machine, avoiding HIPAA compliance risks associated with cloud ASR.
Offer a free basic version with limited file size or batch count, and a paid Pro version with unlimited usage, faster setup support, and priority updates.
Sell licenses to enterprises needing secure, on-premise transcription for sensitive data such as legal, healthcare, or finance records. Includes installation support and custom integration.
Provide a web interface for managing transcriptions while the actual ASR runs locally on the user's Windows machine. Charge a monthly subscription for the management portal and features like advanced search.
💬 Integration Tip
Use the provided one-line API `from asr_api import transcribe_audio` to integrate into Python applications. For non-Python apps, call `acoustic_pipeline.py` via subprocess with proper JSON output parsing.
Scored Jun 29, 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.
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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。
Transcribe long audio files safely on 16GB RAM machines using auto-chunking with Whisper’s base model and seamless transcript merging.
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...