cloudflare-whisper-workerTranscribe audio using a deployed Cloudflare Worker Whisper endpoint. Use when converting voice/audio files (wav, mp3, m4a, ogg, webm) to text through the cu...
Install via ClawdBot CLI:
clawdbot install lotfinity/cloudflare-whisper-workerGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://lotfi-whisper-worker.medtouradmin.workers.dev/transcribeCalls external URL not in known-safe list
https://lotfi-whisper-worker.medtouradmin.workers.dev`AI Analysis
The skill's external API call is explicitly documented for its stated purpose of audio transcription, and the endpoint appears to be a custom, user-deployed Cloudflare Worker. While it sends user audio data externally, this is the core function of the skill and is not hidden. The primary risk is the lack of user control over the destination endpoint, which could be changed by the skill owner.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Automatically transcribe podcast episodes for accessibility and content repurposing. This enables podcasters to generate show notes, subtitles, and searchable text archives efficiently, enhancing audience reach and SEO.
Transcribe customer service calls to analyze sentiment, identify common issues, and improve training. This helps businesses monitor quality, extract insights for product development, and ensure compliance with regulatory requirements.
Convert recorded lectures or online course videos into text for students with hearing impairments or language barriers. This supports inclusive education, aids in note-taking, and facilitates content translation for global audiences.
Transcribe doctor-patient consultations or medical notes to streamline clinical documentation. This reduces administrative burden, improves accuracy in health records, and supports telemedicine by converting audio logs into structured text.
Accurately transcribe legal depositions and court proceedings for record-keeping and evidence analysis. This ensures verbatim documentation, aids in case preparation, and enhances accessibility for legal teams reviewing audio evidence.
Offer tiered subscription plans based on usage volume (e.g., hours of audio per month) for developers and businesses integrating transcription into their apps. This provides predictable revenue through recurring payments and scales with client needs.
Provide a free tier with limited transcriptions to attract users, then charge per minute of audio processed beyond the limit. This model encourages adoption by startups and individuals while monetizing heavy usage from enterprises.
License the transcription API to large organizations for internal use or resale under their brand. This includes custom integrations, SLAs, and dedicated support, targeting sectors like healthcare or legal with high compliance needs.
💬 Integration Tip
Set the WHISPER_WORKER_TOKEN environment variable once per session to simplify authentication in scripts, and use jq for parsing JSON responses to extract only the transcribed text efficiently.
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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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...