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SamuelRM25
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ASR

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

Updated Apr 19, 2025
Search Tags:#backend#transcription#audio#speech-to-text#base64#z-ai-web-dev-sdk#asr
One-click install
npx skills add https://github.com/SamuelRM25/app-visitador --skill asr-samuelrm25
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ASR
Source: https://github.com/SamuelRM25/app-visitador/tree/main/skills/ASR
Command: npx skills add https://github.com/SamuelRM25/app-visitador --skill asr-samuelrm25

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables automated speech-to-text transcription using the z-ai-web-dev-sdk, turning spoken audio into searchable, editable text to streamline transcription, captioning, and accessibility workflows.

Core Features & Use Cases

  • Backend ASR: Transcribes base64-encoded audio files via the SDK with reliable accuracy.
  • Batch & Real-time: Supports batch processing of audio files and real-time transcription in server-side workflows.
  • Use Case: Transcribe meetings, interviews, podcasts, and voice notes to generate editable transcripts and searchable archives.

Quick Start

Use the ASR skill to transcribe an audio file by running the provided script (scripts/asr.ts) or invoking the SDK on the backend with a base64-encoded audio payload.

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 on the backend using z-ai-web-dev-sdk?▼

To transcribe audio on the backend, encode your audio files as base64 payloads and pass them to the z-ai-web-dev-sdk. The SDK processes these inputs server-side to return structured text transcription results.

Can I use backend speech-to-text for meeting recordings and voice notes?▼

Yes, backend speech-to-text is designed for meetings, interviews, and voice notes. It processes base64-encoded audio inputs to generate editable, searchable text archives for your recordings.

Does the ASR skill support batch processing of audio files?▼

The ASR skill supports batch processing of audio files alongside real-time transcription in server-side workflows. It handles base64-encoded audio inputs to deliver structured transcription results.

Do I need to base64 encode audio inputs for speech-to-text transcription?▼

Yes, base64-encoded audio inputs are required for speech-to-text transcription using this skill. The z-ai-web-dev-sdk backend API specifically processes base64 payloads to generate accurate text transcriptions.

What is the best way to automate transcription workflows for podcasts?▼

Automate podcast transcription by running the provided script or invoking the z-ai-web-dev-sdk backend with base64-encoded audio. This converts spoken audio into searchable, editable text efficiently.

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