ASR

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

Updated Dec 27, 2025
One-click install
npx skills add https://github.com/mayankmishra0403/printhub --skill asr-mayankmishra0403
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ASR
Source: https://github.com/mayankmishra0403/printhub/tree/main/skills/ASR
Command: npx skills add https://github.com/mayankmishra0403/printhub --skill asr-mayankmishra0403

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Transcribes audio into accurate text using the z-ai-web-dev-sdk, enabling voice-enabled apps, transcripts, and searchable audio content.

Core Features & Use Cases

  • Speech-to-text transcription: Convert base64-encoded or streamed audio to text for apps and services.
  • Voice input integration: Build voice-driven UIs and voice-enabled features with reliable results.
  • Real-world scenarios: Transcribe interviews, meetings, podcasts, or customer support calls for analysis and archival.

Quick Start

Transcribe an audio file by base64-encoding it and calling the SDK's asr.create method to obtain the transcription.

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 base64 audio in a backend environment?

Base64 audio transcription works by passing encoded audio data to the backend SDK, which validates the input and returns plain text transcriptions suitable for downstream processing and voice-enabled applications.

Can I use this speech-to-text SDK for real-time transcription scenarios?

Yes, the speech-to-text SDK supports both batch and real-time transcription scenarios in backend environments, handling audio processing and returning plain text transcriptions for applications like meetings or podcasts.

Does audio transcription with this SDK require a backend-only environment?

Yes, this speech-to-text SDK enforces backend-only usage to securely handle audio processing, validate base64 inputs, and manage errors before returning plain text transcription results.

What is the best way to convert voice input into searchable text for applications?

The best way to convert voice input into searchable text is using an SDK-powered speech-to-text process that transcribes base64 audio in a backend environment, yielding plain text for search indexing.

How does the ASR Skill handle errors during audio processing?

The ASR Skill handles errors gracefully during audio processing by validating base64 inputs before calling the SDK, ensuring reliable speech-to-text transcription results even in backend batch workloads.