transcribe

Transcribe audio files into text transcripts with optional speaker diarization.

3|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/bl1nk-bot/skills-cli --skill transcribe-bl1nk-bot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: transcribe
Source: https://github.com/bl1nk-bot/skills-cli/tree/main/skills/transcribe
Command: npx skills add https://github.com/bl1nk-bot/skills-cli --skill transcribe-bl1nk-bot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Transcribe audio using OpenAI, with optional speaker diarization when requested. Prefer the bundled CLI for deterministic, repeatable runs.

Core Features & Use Cases

  • Transcription with optional diarization and known-speaker hints
  • Deterministic CLI workflow suitable for automated pipelines
  • Output transcripts saved by default under output/transcribe/ (configurable via CLI)

Quick Start

Run the bundled transcribe CLI on an audio file to generate a transcript and optionally diarize speakers.

Frequently Asked Questions about transcribe

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

FAQPage Schema
How do I transcribe audio with speaker diarization using OpenAI?

You can transcribe audio and label speakers by running the bundled CLI with optional diarization and known-speaker hints. The workflow uses OpenAI to convert audio into accurate text transcripts suitable for meetings and interviews.

Can I use known-speaker hints to improve transcription accuracy for interviews?

Yes, the transcription CLI supports known-speaker references to help identify and label participants accurately. This feature is applicable for interviews and meetings where distinguishing speakers is required.

What is the best way to automate speech-to-text transcription in a CLI workflow?

The bundled transcribe CLI provides a deterministic workflow for automated speech-to-text pipelines. It handles model selection, chunking strategy, and output control, saving transcripts by default under a configurable output directory.

Does this transcription tool require an OpenAI API key to process audio files?

Yes, the tool relies on OpenAI for speech-to-text processing and requires an API key. The CLI workflow includes safe handling of API keys and known-speaker references to securely generate text transcripts.

How do I configure output formats and chunking strategy for audio transcription?

The CLI workflow satisfies requirements for response formats, chunking strategy, and output control. Transcripts are saved by default under output/transcribe/, and the output directory is configurable via CLI arguments.

What languages and audio formats are supported by the OpenAI speech-to-text CLI?

The CLI supports language hints and model selection for converting audio into text transcripts. It is applicable for multimedia archives where accurate transcripts and speaker labeling are required.