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C-Jay69
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ASR

Convert base64 encoded audio into written text via the z-ai-web-dev-sdk ASR endpoint.

Updated Jan 22, 2026
Search Tags:#audio transcription#speech-to-text#voice recognition#backend integration#z-ai-web-dev-sdk#asr#batch transcription
One-click install
npx skills add https://github.com/C-Jay69/HYDRASCRAPE_GPT5.2_CODEX_STITCH --skill asr-c-jay69
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ASR
Source: https://github.com/C-Jay69/HYDRASCRAPE_GPT5.2_CODEX_STITCH/tree/main/skills/ASR
Command: npx skills add https://github.com/C-Jay69/HYDRASCRAPE_GPT5.2_CODEX_STITCH --skill asr-c-jay69

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Manually transcribing audio files such as meetings, interviews, or podcasts is time-consuming and prone to human error. This Skill automates accurate speech-to-text conversion to eliminate that tedious work.

Core Features & Use Cases

  • Multi-format Audio Support: Transcribe WAV, MP3, M4A, FLAC, and OGG audio files without manual format conversion.
  • Batch Processing: Process multiple audio files at once and export transcriptions to JSON for easy archival and analysis.
  • Backend Integration: Build voice input features, transcription APIs, or audio analysis tools for production applications.
  • Use Case Example: Transcribe 10 customer support call recordings for quality analysis in minutes instead of hours.

Quick Start

Use the ASR skill to transcribe the audio file 'team-meeting-recording.wav' into editable text for your team notes.

Frequently Asked Questions about ASR

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

FAQPage Schema
How do I convert audio recordings to text for meeting notes?▼

To convert audio recordings to text, you can automate speech-to-text transcription using base64 encoded audio input processed through the z-ai-web-dev-sdk ASR endpoint. This generates accurate written text output for meeting notes in seconds.

Can I batch transcribe multiple audio files and export the results?▼

Batch transcription of multiple audio files is supported, allowing you to process several recordings simultaneously and export the resulting text transcriptions to JSON format for easy archival and analysis.

Does the speech-to-text process work with WAV and MP3 audio formats?▼

The speech-to-text process supports WAV, MP3, M4A, FLAC, and OGG audio formats without requiring manual format conversion before submitting base64 encoded audio input.

How do I integrate voice recognition into a backend application?▼

Backend integration for voice recognition requires server-side execution of the z-ai-web-dev-sdk ASR endpoint to process base64 encoded audio input, enabling you to build transcription APIs and voice input features for production applications.

What is the best way to digitize interview audio content automatically?▼

The best way to digitize interview audio content is automated speech-to-text conversion, which eliminates manual transcription errors and processes spoken recordings into editable text using the ASR endpoint.

Do I need server-side execution to run audio transcription tasks?▼

Server-side execution is required to run audio transcription tasks because the z-ai-web-dev-sdk ASR endpoint must process base64 encoded audio input to generate accurate text output.

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