ASR

Transcribe Base64 encoded audio files into text using the z-ai-web-dev-sdk.

Updated Dec 14, 2025

Search Tags:#transcription #audio processing #voice recognition #ASR #z-ai-web-dev-sdk #speech to text

Ready to run

npx skills add https://github.com/71261121/auto-jarvis- --skill asr-71261121

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ASR
Source: https://github.com/71261121/auto-jarvis-/tree/main/skills/ASR
Command: npx skills add https://github.com/71261121/auto-jarvis- --skill asr-71261121

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the conversion of spoken audio into written text, making audio content searchable, editable, and accessible.

Core Features & Use Cases

Audio Transcription: Accurately transcribes audio files into text.
Base64 Input: Supports audio data encoded in Base64.
Use Case: Transcribe a recorded customer service call to analyze sentiment and identify key issues discussed.

Quick Start

Use the ASR skill to transcribe the audio file located at './audio.wav'.

Frequently Asked Questions about ASR

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

FAQPage Schema

How do I transcribe speech to text from an audio file in my application?▼

To transcribe speech to text, you can use this Skill to convert spoken audio into written text via the z-ai-web-dev-sdk. It processes Base64 encoded audio data, making audio content searchable and editable for voice input applications.

Can I use Base64 encoded audio for voice recognition processing?▼

Yes, voice recognition processing supports Base64 encoded audio input. The Skill accepts Base64 audio data and transcribes it into text using the z-ai-web-dev-sdk, which requires backend execution to handle the speech-to-text conversion.

Does speech to text transcription require backend execution with z-ai-web-dev-sdk?▼

Yes, speech to text transcription requires backend execution of the z-ai-web-dev-sdk. The Skill implements ASR capabilities by processing Base64 encoded audio data on the server side to accurately transcribe audio files into text.

What is the best way to process customer service call recordings for text analysis?▼

The best way to process customer service call recordings is using audio transcription to convert the speech to text. This Skill transcribes recorded audio files into text, allowing you to analyze sentiment and identify key issues discussed during the calls.

Are there limitations when transcribing audio files for voice command processing?▼

A limitation when transcribing audio files for voice command processing is that input must be Base64 encoded. Additionally, the z-ai-web-dev-sdk must be executed on the backend, meaning it is not suitable for frontend-only or browser-based direct audio processing.