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High-performance transcription with GPU acceleration support. Includes word-level timestamps and distilled models....\n\nTags: latest:1.0.0\n\nVersion history:\n\nv1.0.0 | 2026-02-20T06:04:43.270Z | user\n\nInitial release\n\nArchive index:\n\nArchive v1.0.0: 6 files, 6590 bytes\n\nFiles: requirements.txt (117b), scripts/transcribe.py (6292b), setup.sh (5223b), skill-card.md (1727b), SKILL.md (1707b), _meta.json (139b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: faster-whisper\ndescription: Local speech-to-text using faster-whisper. High-performance transcription with GPU acceleration support. Includes word-level timestamps and distilled models. Use when asked to \"transcribe audio\", \"whisper\", or \"speech to text\".\nmetadata:\n  {\n    \"openclaw\":\n      {\n        \"requires\":\n          {\n            \"bins\": [\"ffmpeg\", \"python3\"],\n            \"pip\": [\"faster-whisper\", \"torch\"],\n          },\n      },\n  }\n---\n\n# Faster-Whisper\n\nHigh-performance local speech-to-text using faster-whisper.\n\n## Setup\n\n### 1. Run Setup Script\nExecute the setup script to create a virtual environment and install dependencies. It will automatically detect NVIDIA GPUs for CUDA acceleration.\n\n```bash\n./setup.sh\n```\n\nRequirements:\n- Python 3.10 or later\n- ffmpeg (installed on the system)\n\n## Usage\n\nUse the transcription script to process audio files.\n\n### Basic Transcription\n```bash\n./scripts/transcribe audio.mp3\n```\n\n### Advanced Options\n- **Specific Model**: `./scripts/transcribe audio.mp3 --model large-v3-turbo`\n- **Word Timestamps**: `./scripts/transcribe audio.mp3 --word-timestamps`\n- **JSON Output**: `./scripts/transcribe audio.mp3 --json`\n- **VAD (Silence Removal)**: `./scripts/transcribe audio.mp3 --vad`\n\n## Available Models\n\n- `distil-large-v3` (default): Best balance of speed and accuracy.\n- `large-v3-turbo`: Recommended for multilingual or highest accuracy tasks.\n- `medium.en`, `small.en`: Faster, English-only versions.\n\n## Troubleshooting\n\n- **No GPU detected**: Ensure NVIDIA drivers and CUDA are correctly installed. CPU transcription is significantly slower.\n- **OOM Error**: Use a smaller model (e.g., `small` or `base`) or use `--compute-type int8`.\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn73589k2rv646tm107cp6d90s81g7xy\",\n  \"slug\": \"faster-whisper-local\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1771567483270\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nLocal speech-to-text using faster-whisper with GPU acceleration support, word-level timestamps, and distilled model options.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[jeminay](https://clawhub.ai/user/jeminay)\n\n### License/Terms of Use:\n\n\n## Use Case:\n\nDevelopers and agents use this skill to transcribe local audio files into plain text or JSON, with optional model selection, language selection, word timestamps, and voice activity detection.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Setup downloads current Python packages and Whisper model assets into a local virtual environment.\n\nMitigation: Install in a controlled environment and pin and hash dependencies before setup when higher assurance is required.\n\nRisk: Local audio transcription may process sensitive audio content.\n\nMitigation: Review local data handling requirements before processing audio files and keep generated transcripts within the approved environment.\n\n## Reference(s):\n\n\n## Skill Output:\n\n**Output Type(s):** [Text, JSON, Shell commands, Configuration]\n\n**Output Format:** [Plain text transcript or JSON transcript metadata, with shell commands and configuration guidance for setup and execution.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Can write transcript output to a local file when requested.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.0:requirements.txt\n\n# Core dependency — PyTorch installed separately by setup script (with CUDA if GPU detected)\nfaster-whisper>=1.0.0","readmeExcerpt":"Skill: Faster Whisper Local Owner: jeminay Summary: Local speech-to-text using faster-whisper. 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Use when asked to \"transcribe audio\", \"whisper\", or \"speech to text\".\nmetadata:\n  {\n    \"openclaw\":\n      {\n        \"requires\":\n          {\n            \"bins\": [\"ffmpeg\", \"python3\"],\n            \"pip\": [\"faster-whisper\", \"torch\"],\n          },\n      },\n  }\n---\n\n# Faster-Whisper\n\nHigh-performance local speech-to-text using faster-whisper.\n\n## Setup\n\n### 1. Run Setup Script\nExecute the setup script to create a virtual environment and install dependencies. It will automatically detect NVIDIA GPUs for CUDA acceleration.\n\n```bash\n./setup.sh\n```\n\nRequirements:\n- Python 3.10 or later\n- ffmpeg (installed on the system)\n\n## Usage\n\nUse the transcription script to process audio files.\n\n### Basic Transcription\n```bash\n./scripts/transcribe audio.mp3\n```\n\n### Advanced Options\n- **Specific Model**: `./scripts/transcribe audio.mp3 --model large-v3-turbo`\n- **Word Timestamps**: `./scripts/transcribe audio.mp3 --word-timestamps`\n- **JSON Output**: `./scripts/transcribe audio.mp3 --json`\n- **VAD (Silence Removal)**: `./scripts/transcribe audio.mp3 --vad`\n\n## Available Models\n\n- `distil-large-v3` (default): Best balance of speed and accuracy.\n- `large-v3-turbo`: Recommended for multilingual or highest accuracy tasks.\n- `medium.en`, `small.en`: Faster, English-only versions.\n\n## Troubleshooting\n\n- **No GPU detected**: Ensure NVIDIA drivers and CUDA are correctly installed. CPU transcription is significantly slower.\n- **OOM Error**: Use a smaller model (e.g., `small` or `base`) or use `--compute-type int8`."},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn73589k2rv646tm107cp6d90s81g7xy\",\n  \"slug\": \"faster-whisper-local\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1771567483270\n}"},{"path":"skill-card.md","content":"## Description:\n\nLocal speech-to-text using faster-whisper with GPU acceleration support, word-level timestamps, and distilled model options.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[jeminay](https://clawhub.ai/user/jeminay)\n\n### License/Terms of Use:\n\n\n## Use Case:\n\nDevelopers and agents use this skill to transcribe local audio files into plain text or JSON, with optional model selection, language selection, word timestamps, and voice activity detection.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Setup downloads current Python packages and Whisper model assets into a local virtual environment.\n\nMitigation: Install in a controlled environment and pin and hash dependencies before setup when higher assurance is required.\n\nRisk: Local audio transcription may process sensitive audio content.\n\nMitigation: Review local data handling requirements before processing audio files and keep generated transcripts within the approved environment.\n\n## Reference(s):\n\n\n## Skill Output:\n\n**Output Type(s):** [Text, JSON, Shell commands, Configuration]\n\n**Output Format:** [Plain text transcript or JSON transcript metadata, with shell commands and configuration guidance for setup and execution.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Can write transcript output to a local file when requested.]\n\n## Skill Version(s):\n\n1.0.0 (source: server release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."},{"path":"requirements.txt","content":"# Core dependency — PyTorch installed separately by setup script (with CUDA if GPU detected)\nfaster-whisper>=1.0.0"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Local speech-to-text using faster-whisper. 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