video-download

Download videos from 1800+ websites and generate subtitles using Faster Whisper AI. Use when user wants to download videos from YouTube, Bilibili, Twitter, TikTok, Facebook, Vimeo, or any other supported video site, extract audio, or transcribe video content to text/subtitles.

Video Download & Subtitle Generation

This skill downloads videos from 1800+ websites and generates subtitles using Faster Whisper AI.

Supported Websites

This skill supports downloading from virtually any video website thanks to yt-dlp. Some popular ones include:

Video Platforms:

• YouTube, YouTube Shorts
• Bilibili (哔哩哔哩), Niconico (ニコニコ動画)
• TikTok, Douyin (抖音)
• Twitter/X, Facebook, Instagram
• Vimeo, Dailymotion
• Twitch (clips, VODs), Kick
• Rutube, VK Video

Chinese Platforms:

• iQiyi (爱奇艺), Youku (优酷), MangoTV (芒果TV)
• Weibo Video, Douyu (斗鱼), Huya (虎牙)

International:

• Netflix, Disney+, HBO Max, Amazon Prime Video
• BBC iPlayer, ITV, Channel 4
• ARD, ZDF, Arte

For the complete list of 1800+ supported sites, see: yt-dlp supported extractors Local document about supported sites: references/supportedsites.md

Important: If you see an error like Sign in to confirm you’re not a bot, you should use the cookiefile parameter for authenticated downloads. See the cookiefile usage section at the end of this document.

Prerequisites

Ensure the following Python packages are installed:

• yt-dlp - For downloading videos from any supported site
• yt-dlp-ejs - External JavaScript for yt-dlp supporting many runtimes
• ffmpeg-python - For audio extraction
• faster-whisper - For speech-to-text transcription (faster and more memory-efficient than openai-whisper). Note: The first run will download models from HuggingFace (default: small, ~3GB). A VPN is required for mainland China users.
• tqdm - For progress bar display during transcription

Install via pip:

bash

pip install yt-dlp yt-dlp-ejs ffmpeg-python faster-whisper tqdm

ffmpeg must also be installed on your system

Usage

Command Line

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads"}'

Parameters

Parameter	Type	Required	Description
urls	array	Yes	List of video URLs from any supported website
output	string	No	Output directory (default: "./downloads")
model	string	No	Faster Whisper model size: tiny, base, small, medium, large, large-v2, large-v3, turbo (default: "small")
transcribe	boolean	No	Whether to transcribe video to subtitle (default: true)
subtitle_format	string	No	Subtitle format: txt, srt, vtt, json (default: "txt")
download_subtitle	boolean	No	Download video's built-in subtitles if available (default: false)
onlysubtitle	boolean	No	Only download subtitles. When true, the script uses skip_download + writesubtitles + writeautomaticsub internally (default: false)
overwrite_subtitle	boolean	No	Overwrite existing subtitle files (default: true, set to false to skip if exists)
cookie	string	No	Cookie header string; injected into http_headers.Cookie (default: "")
cookiesfrombrowser	string	No	Read cookies from browser (default: ""; injected only when non-empty)
cookiefile	string	No	Netscape-format cookie file path (default: ""; injected only when non-empty)

Output

The skill will:

1. Create a folder for each video (named after the video title)
2. Download the video file to that folder
3. Extract audio as WAV file
4. Generate transcript using Faster Whisper
5. Save subtitle as .txt file

Output structure:

text

downloads/
└── Video Title/
    ├── Video Title.mp4
    ├── Video Title.wav
    └── Video Title.txt

Examples

Download YouTube video:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],"output":"./my_videos"}'

Download Bilibili video:

bash

python scripts/video_parser.py '{"urls":["https://www.bilibili.com/video/BV1xx411c7XD"],"output":"./downloads"}'

Download TikTok video:

bash

python scripts/video_parser.py '{"urls":["https://www.tiktok.com/@username/video/1234567890"],"output":"./tiktok"}'

Download multiple videos from different sites:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO1","https://www.bilibili.com/video/BV1xx","https://twitter.com/user/status/123"],"output":"./videos"}'

Download Twitch clip:

bash

python scripts/video_parser.py '{"urls":["https://www.twitch.tv//channel/clip/ClipName"],"output":"./clips"}'

Download only (without transcription):

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","transcribe":false}'

Generate SRT subtitle:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","subtitle_format":"srt"}'

Generate VTT subtitle:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","subtitle_format":"vtt"}'

Download video with built-in subtitles:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","download_subtitle":true}'

Download with custom Faster Whisper model:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","model":"large"}'

Skip transcription if subtitle already exists:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","overwrite_subtitle":false}'

Download video with Cookie:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","cookie":"sid=xxx; token=yyy"}'

Download video with cookies from browser:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","cookiesfrombrowser":"chrome"}'

Download video with cookie file:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","cookiefile":"/path/to/cookies.txt"}'

Only download subtitles:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","onlysubtitle":true,"cookiefile":"/path/to/cookies.txt"}'

cookiefile usage:

• Install the Get cookies.txt LOCALLY Chrome extension first.
  URL: https://chromewebstore.google.com/detail/get-cookiestxt-locally/cclelndahbckbenkjhflpdbgdldlbecc?pli=1
• Log in to the target website, then use the extension to export cookies.txt to your local machine.
• Set cookiefile to that local file path, for example:

bash

python scripts/video_parser.py '{"urls":["https://www.youtube.com/watch?v=VIDEO_ID"],"output":"./downloads","cookiefile":"/Users/yourname/Downloads/cookies.txt"}'

Troubleshooting

• ffmpeg not found: Install ffmpeg via brew install ffmpeg (macOS) or your system's package manager
• Faster Whisper model download fails: Models are downloaded from HuggingFace. Mainland China users need a VPN/proxy to download models. The default small model is ~75MB.
• Download fails: Some videos may be geo-restricted, age-gated, or unavailable. Check the video URL and try again.
• Cookie/auth required: Some sites need authentication. You can pass cookies via yt-dlp options if needed.