local-sttLocal STT with selectable backends - Parakeet (best accuracy) or Whisper (fastest, multilingual).
Install via ClawdBot CLI:
clawdbot install araa47/local-sttGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 1, 2026
Healthcare professionals use the skill to transcribe patient consultations and medical notes locally, ensuring privacy and accuracy with Parakeet's high English precision. It integrates into electronic health record systems via CLI, streamlining documentation workflows.
Call centers employ the skill with Whisper backend to transcribe support calls in multiple languages quickly, enabling real-time analysis and archiving. The fast inference supports high-volume environments while maintaining data security on-premises.
Educational institutions use the skill to generate accurate captions for lectures and presentations, leveraging Parakeet for clear English or Whisper for multilingual content. It aids accessibility and content creation without relying on cloud services.
Law firms and courts utilize the skill to transcribe legal proceedings and depositions locally, ensuring confidentiality and compliance with data regulations. Parakeet's accuracy captures nuanced legal terminology effectively.
Media companies integrate the skill into video editing pipelines to create subtitles for films and broadcasts, using Whisper for speed with multilingual support or Parakeet for high-quality English transcripts.
Offer the skill as a cloud-based or on-premise subscription service with tiered pricing based on usage volume and backend features. Revenue is generated through monthly fees from businesses needing reliable, private transcription.
Sell perpetual licenses to large organizations for integration into their internal systems, with support and customization options. Revenue comes from one-time license fees and ongoing maintenance contracts.
Provide a free basic version with limited backends or features, and charge for advanced options like multilingual models, higher accuracy, or priority support. Revenue is generated from upgrades and add-ons.
💬 Integration Tip
Ensure ffmpeg is installed and test with sample audio files first to verify backend performance before full deployment.
Scored Apr 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.
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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...