voice-transcribeTranscribe audio files using OpenAI's gpt-4o-mini-transcribe model with vocabulary hints and text replacements. Requires uv (https://docs.astral.sh/uv/).
Install via ClawdBot CLI:
clawdbot install darinkishore/voice-transcribeGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://docs.astral.sh/uv/Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Transcribe customer voice memos from WhatsApp to analyze feedback and complaints. Enables quick response by converting audio to text for ticket creation and sentiment analysis.
Transcribe doctor's voice notes for patient records using custom medical vocabulary. Ensures accuracy with replacements for specialized terms, aiding in documentation and billing.
Transcribe audio recordings from legal interviews or depositions. Uses vocabulary hints for legal jargon and replacements for accurate transcriptions to support case preparation.
Transcribe lectures or training sessions from audio files for note-taking and accessibility. Custom vocabulary helps with subject-specific terms, enhancing study materials.
Transcribe field interviews or voice memos for news articles. Enables quick text extraction with replacements for names and technical terms, streamlining content creation.
Offer free basic transcription with limited features, then charge for advanced options like custom vocabulary and replacements. Targets small businesses and individuals needing occasional transcription.
Integrate the skill into enterprise systems like CRM or healthcare software via API. Charge licensing fees based on usage volume and provide support for industry-specific vocabularies.
License the transcription tool to marketing or legal agencies as a branded service. Includes customization options and bulk processing, generating revenue through setup and maintenance fees.
💬 Integration Tip
Integrate with messaging apps like WhatsApp via webhooks to automate transcription of incoming voice memos, reducing manual file handling.
Scored Apr 16, 2026
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Local speech-to-text with the Whisper CLI (no API key).
ElevenLabs text-to-speech with mac-style say UX.
Local text-to-speech via sherpa-onnx (offline, no cloud)
Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "User talked via voice recognition on <device>").
Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.