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A comprehensive toolkit for downloading, merging, and transcribing lecture videos

Project description

Lecture Downloader

A Python toolkit for transcribing video and audio files using Whisper AI.

Installation

pip install lecture-downloader

Requirements:

  • Python 3.8+
  • FFmpeg (automatically downloaded on first use)

Usage

Transcribe a Single File

# Basic transcription
lecture-downloader transcribe video.mp4

# Specify output directory
lecture-downloader transcribe video.mp4 -o transcripts/

# Choose language
lecture-downloader transcribe video.mp4 --language es

Transcribe a Directory

# Transcribe all videos in a directory
lecture-downloader transcribe /path/to/videos/

# Transcribe with custom output location
lecture-downloader transcribe /path/to/videos/ -o /path/to/transcripts/

Options

Option Description Default
-o, --output Output directory for transcripts Same as input
--language Language code (en, es, fr, etc.) en
--method Transcription method whisper
--inject Inject subtitles into video files True
--verbose Show detailed progress False

Examples

# Transcribe with all options
lecture-downloader transcribe lectures/ \
  --output transcripts/ \
  --language en \
  --inject \
  --verbose

# Transcribe without injecting subtitles
lecture-downloader transcribe video.mp4 --no-inject

Requirements

  • Python 3.8+
  • FFmpeg (automatically downloaded on first use)

License

MIT License - see LICENSE file for details.

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