add-voice-transcription

Transcribe WhatsApp voice messages using OpenAI's Whisper API.

Updated Feb 22, 2026
One-click install
npx skills add https://github.com/nutterbrand/nanoclaw --skill add-voice-transcription-nutterbrand
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add-voice-transcription
Source: https://github.com/nutterbrand/nanoclaw/tree/main/.claude/skills/add-voice-transcription
Command: npx skills add https://github.com/nutterbrand/nanoclaw --skill add-voice-transcription-nutterbrand

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables your AI assistant to understand and respond to voice messages by automatically transcribing them, bridging the gap between audio communication and text-based AI interaction.

Core Features & Use Cases

  • Automatic Transcription: Seamlessly converts WhatsApp voice notes into text.
  • Agent Comprehension: Allows the AI to read and process the content of voice messages.
  • Use Case: When a user sends a voice note in WhatsApp, the AI can now transcribe it and respond to the spoken content as if it were a text message, making voice communication a first-class input for the assistant.

Quick Start

Apply the voice transcription skill to enable automatic transcription of WhatsApp voice notes.

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 my AI assistant?

To transcribe WhatsApp voice messages, you apply a processing script that downloads the audio and sends it to OpenAI's Whisper API. This converts the voice notes into text, allowing your AI assistant to comprehend and respond to the spoken content seamlessly.

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

Yes, an OpenAI API key is required to process audio notes. The transcription mechanism relies directly on the OpenAI Whisper API to convert downloaded WhatsApp audio files into text for your assistant.

What is the best way to handle voice message transcription errors?

The best way to handle voice message transcription errors is to implement an error fallback mechanism during the audio processing phase. This ensures that if the Whisper API fails to transcribe the audio, the system degrades gracefully without breaking the conversational flow.

Can I use the Whisper API to convert WhatsApp audio without writing complex code?

Yes, you can use the Whisper API to convert WhatsApp audio by applying a pre-built transcription script that handles downloading and API requests. This bypasses writing complex audio processing code from scratch, requiring only the openai npm dependency.

What are the limitations of using the Whisper API for WhatsApp voice transcription?

Limitations of using the Whisper API for WhatsApp voice transcription include dependency on external API availability and potential processing delays for long audio messages. The system requires an active OpenAI connection and cannot transcribe audio offline, necessitating robust error fallback handling.