openclaw-skill-whisper-stt语音转文字 - 使用OpenAI Whisper将音频文件识别为文字
Install via ClawdBot CLI:
clawdbot install qiaotucodes/openclaw-skill-whisper-sttGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/QiaoTuCodes/openclaw-skill-whisper-stt/releasesUses known external API (expected, informational)
raw.githubusercontent.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Transcribes customer service audio calls into text for analysis and record-keeping. This helps in quality assurance and training by identifying common issues and improving response times.
Automatically converts recorded meeting audio into written minutes. This saves time for administrative staff and ensures accurate documentation for team collaboration and compliance.
Transcribes audio from lectures or online courses into text for accessibility and study materials. This supports students with disabilities and enhances learning through searchable notes.
Generates subtitles for videos or podcasts by transcribing audio content. This improves accessibility for viewers and expands audience reach across different languages and regions.
Transcribes audio from legal depositions or court proceedings into text for official records. This ensures precise documentation and aids in case preparation and review.
Offers monthly or annual subscriptions for unlimited or tiered audio transcription services. This provides recurring revenue and caters to businesses with ongoing transcription needs.
Charges users per minute or per file for transcription via an API. This model is flexible for occasional users and integrates easily with existing applications and workflows.
Sells custom licenses to large organizations for on-premise or high-volume transcription. This includes dedicated support and customization for specific industry requirements.
💬 Integration Tip
Ensure FFmpeg is installed for audio format support and choose the appropriate Whisper model based on speed and accuracy needs for your use case.
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.
Search and manage Spotify playlists, tracks, albums, artists, and playback state via the Spotify Web API. Use this skill when users want to search for music,...
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...