ASR

Name: ASR
Availability: InStock
Author: fishyer

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

1|Updated Apr 8, 2026

Search Tags:#audio processing #audio transcription #speech-to-text #voice recognition #text conversion

Ready to run

npx skills add https://github.com/fishyer/skills --skill asr-fishyer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ASR
Source: https://github.com/fishyer/skills/tree/main/skills/ASR
Command: npx skills add https://github.com/fishyer/skills --skill asr-fishyer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the problem of converting spoken audio into text, enabling applications like transcription services, voice-controlled interfaces, and audio content analysis.

Core Features & Use Cases

Speech-to-Text: Accurately transcribes audio files into text.
Audio Format Support: Handles base64 encoded audio files.
Use Case: For instance, you can use this Skill to transcribe an audio recording of a meeting into a searchable text document.

Quick Start

Use the ASR skill to transcribe the audio file 'meeting_recording.wav'.

Frequently Asked Questions about ASR

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

FAQPage Schema

How do I transcribe spoken audio into text using a base64 encoded file?▼

To transcribe spoken audio into text, you can use this Skill to process base64 encoded audio files and receive accurate text transcriptions via the z-ai-web-dev-sdk package. It directly converts your encoded audio data into readable text.

What is the best way to convert voice recordings to searchable text for meeting transcriptions?▼

Converting voice recordings to searchable text is achieved by passing your audio files to this speech-to-text Skill. It processes the spoken audio and returns a precise text transcription, making it ideal for meeting transcriptions and audio content analysis.

Does this speech-to-text transcription require the z-ai-web-dev-sdk package?▼

Yes, this speech-to-text transcription requires the z-ai-web-dev-sdk package as a dependency. You must have this SDK installed in your environment to execute the audio processing and text conversion scripts successfully.

Can I use this audio transcription Skill for voice-controlled application development?▼

Yes, you can use this audio transcription Skill for voice-controlled application development. It accurately transcribes spoken audio into text, providing the text conversion output needed to drive voice recognition interfaces and commands.

What audio formats are supported for speech-to-text conversion?▼

This speech-to-text conversion currently supports base64 encoded audio files. You must encode your audio data into base64 format before passing it to the Skill to ensure accurate text transcription results.

Why use base64 encoded audio for speech-to-text processing instead of raw audio files?▼

Using base64 encoded audio for speech-to-text processing allows standardized data transmission within scripts. The Skill parses this encoded format reliably using the z-ai-web-dev-sdk to return accurate text transcriptions without direct file system dependencies.