---
title: "OpenAI Whisper Batch Transcription Pipeline"
description: "Processes audio files from an S3 bucket using Whisper large-v3, splitting recordings into 30-second chunks with ffmpeg before transcription. Outputs timestamped SRT and VTT subtitle files plus plain-text transcripts, then uploads artifacts back to S3. Supports language auto-detection and translation to English."
verification: "security_reviewed"
source: "https://github.com/openai/whisper"
category:
  - "Media & Transcription"
framework:
  - "OpenClaw"
tool_ecosystem:
  github_repo: "openai/whisper"
  github_stars: 97803
---

# OpenAI Whisper Batch Transcription Pipeline

Processes audio files from an S3 bucket using Whisper large-v3, splitting recordings into 30-second chunks with ffmpeg before transcription. Outputs timestamped SRT and VTT subtitle files plus plain-text transcripts, then uploads artifacts back to S3. Supports language auto-detection and translation to English.

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/whisper-batch-transcription-pipeline/)