ASR

Transcribe base64-encoded audio into text using the z-ai-web-dev-sdk.

Updated Dec 24, 2025
One-click install
npx skills add https://github.com/nidhalboumaiza-0/PFA_2026_E-Sante --skill asr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ASR
Source: https://github.com/nidhalboumaiza-0/PFA_2026_E-Sante/tree/main/admin-e-sante/skills/ASR
Command: npx skills add https://github.com/nidhalboumaiza-0/PFA_2026_E-Sante --skill asr

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Transforms spoken language in audio into written text, enabling transcripts, searchable meeting notes, and voice-enabled features using the z-ai-web-dev-sdk. This Skill focuses on backend transcription workflows and supports base64-encoded audio inputs.

Core Features & Use Cases

  • Transcribe audio files to text using the z-ai-web-dev-sdk.
  • Support base64-encoded audio inputs for server-side processing.
  • Use in applications requiring batch transcription, forms processing, or voice-to-text features.

Quick Start

Transcribe the audio file 'meeting_recording.wav' to text.

Frequently Asked Questions about ASR

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

FAQPage Schema
How do I transcribe audio files to text in a Node.js backend?▼

You can transcribe audio files to text in a Node.js backend by sending base64-encoded audio data to this Skill, which processes the input using z-ai-web-dev-sdk and returns the extracted text in the response_text field.

Can I use base64-encoded audio for speech-to-text processing?▼

Yes, base64-encoded audio is the required input format for speech-to-text processing. This Skill accepts base64 strings to handle server-side transcription workflows for audio files, voice notes, and meetings.

What is the best way to automate meeting transcription in web applications?▼

The best way to automate meeting transcription in web applications is to pass base64-encoded meeting recordings to a backend speech-to-text service. This Skill uses z-ai-web-dev-sdk to convert spoken language into searchable written text.

Do I need the z-ai-web-dev-sdk to perform server-side audio transcription?▼

Yes, you need the z-ai-web-dev-sdk dependency installed in your Node.js environment to perform server-side audio transcription. This SDK provides the AI-powered speech-to-text capabilities required to process your audio inputs.

Does this speech-to-text approach support batch transcription for recorded interviews?▼

Yes, this approach supports batch transcription for recorded interviews. By processing base64-encoded audio files on the server, it transforms spoken interview language into written transcripts suitable for forms processing and voice-to-text features.