ASR

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

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/tajo9128/BioDockify-pharma-research-ai --skill asr-tajo9128
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ASR
Source: https://github.com/tajo9128/BioDockify-pharma-research-ai/tree/main/ui/src/skills/ASR
Command: npx skills add https://github.com/tajo9128/BioDockify-pharma-research-ai --skill asr-tajo9128

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

ASR automates the conversion of spoken language in audio into accurate text, reducing manual transcription time and improving accessibility.

Core Features & Use Cases

  • Real-time transcription: Transcribe live audio streams for captions and dashboards.
  • Batch transcription: Process large sets of audio files in backend tasks.
  • Input flexibility: Accept base64-encoded audio and common formats, enabling easy integration with server-side apps.

Quick Start

Install and configure the backend SDK, load an audio file, encode it to base64, and call the ASR API 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 audio files to text in a backend environment?

Batch audio transcription processes large sets of audio files in backend tasks using the z-ai-web-dev-sdk. You encode audio files to base64, call the ASR API, and receive structured text transcription results for the entire batch.

Can I convert speech to text from base64-encoded audio?

Yes, speech-to-text conversion supports base64-encoded audio inputs. This allows seamless integration with server-side apps by encoding audio files to base64 and calling the ASR API to obtain accurate text transcriptions.

Does the z-ai-web-dev-sdk support real-time speech-to-text transcription?

Yes, the z-ai-web-dev-sdk supports real-time speech-to-text transcription. It transcribes live audio streams in backend environments, making it suitable for applications requiring immediate text output like live captions.

What is the best way to automate spoken audio conversion for backend applications?

The best way to automate spoken audio conversion is using a backend ASR capability with the z-ai-web-dev-sdk. It accepts common audio formats and base64 inputs, returning structured transcription results while reducing manual transcription time.

Do I need a specific SDK to run speech-to-text batch processing tasks?

Yes, you need the z-ai-web-dev-sdk to perform speech-to-text batch processing tasks. This ASR capability requires backend execution with the z-ai-web-dev-sdk to process large sets of audio files and return accurate structured transcriptions.