🎵 AI Playlist Manager

Extract transcripts from entire YouTube playlists with ease. Select multiple videos and download all transcripts in one click.

📋 Enter Playlist URL

�� How to Use AI Playlist Manager

1
📋

Copy Playlist URL

Go to YouTube, open any public playlist, and copy the URL from your browser's address bar.

2
🔗

Paste and Fetch

Paste the playlist URL in the input field above and click "Fetch Playlist" to load all videos.

3
✅

Select Videos

Review the video list and select the ones you want. Only videos with available transcripts can be selected.

4
💾

Download Transcripts

Click "Download Selected" to get all transcripts in a single text file, organized by video.

5
🎯

Use Your Content

Use the downloaded transcripts for research, study notes, content creation, or translation.

6
🌍

Translate & Share

Use our translation tools to convert transcripts to 30+ languages and share with others.

❓ Frequently Asked Questions

We support all public YouTube playlists. This includes music playlists, educational series, podcast collections, and any other public playlist. Private or unlisted playlists cannot be accessed.
You can select and download transcripts from up to 50 videos simultaneously. For larger playlists, you can process them in batches for optimal performance.
Videos without available transcripts will be clearly marked and excluded from the download. We'll show you which videos have transcripts before you download.
Yes! After downloading transcripts, you can use our translation feature to convert them into 30+ languages. Each video transcript can be translated individually.
Processing time depends on playlist size. Typically 1-3 seconds per video for transcript extraction. A 20-video playlist usually takes 30-60 seconds to process completely.
Transcripts are provided in clean text format, organized by video with timestamps. You can also access them individually for further processing or translation.
We support playlists up to 200 videos. For very large playlists, we recommend processing them in smaller batches for better performance and reliability.