telegram-voice-transcribeTranscribe Telegram voice messages and audio notes into text using the OpenAI Whisper API. Use when (1) a user sends a voice message or audio note via Telegr...
Install via ClawdBot CLI:
clawdbot install dreadterror/telegram-voice-transcribeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://...Uses known external API (expected, informational)
api.telegram.orgAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
A business uses this skill to transcribe voice messages from Spanish-speaking customers on Telegram, enabling support agents to quickly understand and respond to inquiries without listening to audio. This improves response times and accessibility for users who prefer voice input over typing.
An educational platform integrates this skill to transcribe student voice submissions in Spanish, allowing automated feedback on pronunciation and grammar. Teachers can review transcripts to assess progress and provide personalized corrections efficiently.
Remote teams use this skill to transcribe voice messages shared on Telegram during collaborative projects, converting spoken updates into text for documentation and task tracking. This enhances communication clarity and reduces misunderstandings in distributed work environments.
Healthcare providers employ this skill to transcribe patient voice messages on Telegram, converting symptoms or inquiries into text for medical records and follow-up. This streamlines triage and ensures accurate documentation while maintaining patient privacy.
Content creators use this skill to transcribe voice notes from Telegram interviews or brainstorming sessions, generating text for articles, scripts, or subtitles. This speeds up content production and improves accessibility for audiences.
Offer a free tier with limited transcriptions per month and a paid subscription for higher volume, targeting small businesses using Telegram for customer interactions. Revenue comes from monthly subscriptions and premium features like multi-language support.
Sell API access to developers who want to embed Telegram voice transcription into their own applications, charging based on usage tiers. This model leverages the existing OpenAI Whisper integration and scales with developer adoption.
Provide a customized, white-labeled version of the skill for large enterprises in industries like customer service or healthcare, with dedicated support and compliance features. Revenue is generated through licensing fees and ongoing maintenance contracts.
💬 Integration Tip
Ensure OPENAI_API_KEY is configured via openclaw configure and use --language es for Spanish audio to optimize transcription speed and accuracy.
Scored Apr 19, 2026
Local speech-to-text with the Whisper CLI (no API key).
ElevenLabs text-to-speech with mac-style say UX.
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Text-to-speech conversion using node-edge-tts npm package for generating audio from text. Supports multiple voices, languages, speed adjustment, pitch control, and subtitle generation. Use when: (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.
Local text-to-speech via sherpa-onnx (offline, no cloud)
Start voice calls via the OpenClaw voice-call plugin.