add-voice-transcription

Transcribe WhatsApp voice messages via OpenAI's Whisper API and store text contextually.

Updated Feb 23, 2026
One-click install
npx skills add https://github.com/YuzhengShi/TAi --skill add-voice-transcription-yuzhengshi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add-voice-transcription
Source: https://github.com/YuzhengShi/TAi/tree/main/.claude/skills/add-voice-transcription
Command: npx skills add https://github.com/YuzhengShi/TAi --skill add-voice-transcription-yuzhengshi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the agent to understand and respond to voice messages by automatically transcribing them, bridging the gap between audio input and text-based AI processing.

Core Features & Use Cases

  • Automatic Transcription: Converts WhatsApp voice notes into text using OpenAI's Whisper API.
  • Seamless Integration: Transcribed text is stored in the database, providing context for the agent.
  • Use Case: A user sends a voice message asking a complex question. The agent transcribes it, understands the query, and provides a relevant, text-based answer.

Quick Start

Send a voice note in a registered group chat to have it transcribed and processed by the agent.

Frequently Asked Questions about add-voice-transcription

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transcribe WhatsApp voice messages into text for an AI agent?

Transcribe WhatsApp voice messages by integrating OpenAI's Whisper API to download audio, convert it to text, and store the transcription for agent context. This bridges audio input with text-based AI processing.

Do I need an OpenAI API key to process audio notes?

Yes, you need an OpenAI API key to use the Whisper API for voice transcription. Secure API key management and dependency installation for audio processing are required before execution.

What is the best way to handle voice message transcription in a group chat?

The best way is to automatically download the audio file, transcribe it via Whisper API, and save the text in a database. This provides contextual storage so the agent can understand and respond seamlessly.

Can I use the Whisper API to store transcribed audio context in a database?

Yes, the Whisper API transcribes the audio message and the resulting text is stored directly in the database. This contextual storage allows the agentic system to process and answer complex queries.

Why does my agent fail to understand voice notes without audio processing?

Agents fail because they require text-based input for processing. Without audio processing and transcription via the Whisper API, the system cannot interpret the audio content to generate a relevant answer.