whisper

Transcribe spoken audio into timestamped text or English translations.

Updated May 26, 2026
One-click install
npx skills add https://github.com/ruiyangruiyi/hermes-agent --skill whisper-ruiyangruiyi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: whisper
Source: https://github.com/ruiyangruiyi/hermes-agent/tree/main/optional-skills/mlops/whisper
Command: npx skills add https://github.com/ruiyangruiyi/hermes-agent --skill whisper-ruiyangruiyi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Whisper turns spoken audio into readable text, so you can automatically capture meetings, podcasts, and multilingual content without manual transcription.

Core Features & Use Cases

  • Multilingual speech recognition: Transcribes up to 99 languages, including language identification.
  • Transcription and translation to English: Produces either the original-language transcript or an English translation.
  • Timestamped output: Supports segment and word-level timestamps for searchable and time-indexed transcripts.
  • Use case: Convert a noisy, multilingual podcast episode into accurate chapter-like transcript text and an English version for accessibility and search.

Quick Start

Use the whisper skill to transcribe the attached audio file and output the transcript with timestamps.

Frequently Asked Questions about whisper

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

FAQPage Schema
How do I transcribe a multilingual podcast into text with timestamps?

To transcribe a multilingual podcast with timestamps, you can use a speech recognition pipeline to convert spoken audio into accurate text transcripts while generating segment or word-level time indices for searchable output.

Can I translate audio to English text while generating meeting notes?

You can translate audio to English text by applying a speech recognition pipeline with task selection for translation, converting spoken meeting audio into readable English transcripts alongside the original language capture.

Does multilingual speech to text support automatic language detection?

Multilingual speech to text supports automatic language detection, identifying up to 99 languages within the audio content before transcribing the spoken words into accurate text.

What is the best way to generate subtitles from audio files?

The best way to generate subtitles from audio files is using a speech recognition pipeline that outputs timestamped segments, creating time-indexed text for precise subtitle alignment and searchable audio knowledge capture.

Can I get word-level timestamps for an audio transcript?

You can get word-level timestamps for an audio transcript by configuring the speech to text pipeline to output granular time indices, ensuring precise synchronization for searchable text and subtitle generation.