Can I generate subtitles with timestamps?

Yes, the transcription command supports SRT and VTT formats, allowing you to create subtitle files that align perfectly with your video playback.

Do I need to install external tools to use this skill?

Yes, this skill requires FFmpeg and the OpenAI Whisper Python package to be installed on your system to perform video processing and transcription tasks.

Which video formats can I convert to?

The skill supports converting various video files to MP4 (using H.264/H.265) and WebM (using VP9), which are optimized for web and universal playback.

How accurate is the transcription model?

Accuracy depends on the Whisper model selected; options range from 'tiny' for quick drafts to 'large' for professional-grade accuracy and better multilingual support.

Video Processing & Transcription

Name: Video Processing & Transcription
Author: Microck

byMicrock

•

Productivity & Workflow

Automates video conversion, audio extraction, and high-accuracy speech-to-text transcription using FFmpeg and OpenAI Whisper.

About

This skill provides a comprehensive toolkit for managing multimedia assets directly within your development environment. It leverages FFmpeg for high-performance video conversion to MP4 and WebM formats and audio extraction, while integrating OpenAI's Whisper model to generate precise transcriptions and subtitles in SRT, VTT, or JSON formats. Whether you need to prepare videos for web deployment, extract audio for analysis, or generate multilingual transcripts, this skill streamlines the entire workflow with optimized presets and robust error handling.

Key Features

High-accuracy speech-to-text transcription using OpenAI Whisper models.
Flexible model selection ranging from 'tiny' for speed to 'large' for maximum accuracy.
81 GitHub stars
Multi-format audio extraction including WAV, MP3, AAC, and FLAC.
Subtitle generation in SRT and WebVTT formats with precise timestamps.
Advanced video format conversion to web-optimized MP4 and WebM.

Use Cases

Batch processing video directories for archive management and accessibility compliance.
Extracting audio from lecture or interview recordings for text-based content analysis.
Converting raw footage into web-ready formats with automated subtitle generation.

About

Key Features

High-accuracy speech-to-text transcription using OpenAI Whisper models.
Flexible model selection ranging from 'tiny' for speed to 'large' for maximum accuracy.
81 GitHub stars
Multi-format audio extraction including WAV, MP3, AAC, and FLAC.
Subtitle generation in SRT and WebVTT formats with precise timestamps.
Advanced video format conversion to web-optimized MP4 and WebM.

Use Cases

Batch processing video directories for archive management and accessibility compliance.
Extracting audio from lecture or interview recordings for text-based content analysis.
Converting raw footage into web-ready formats with automated subtitle generation.