5 Ways to Transcribe YouTube Videos: From Subtitle Extraction to SRT Export

WhisperApp TeamPublished: March 2, 2026Reading time 3min
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There are many reasons you might want to transcribe a YouTube video: taking notes on content, summarizing videos for blog posts, creating subtitle files, and more.

This article introduces 5 methods for transcribing YouTube videos, comparing them by ease of use, accuracy, and functionality.

Method 1: Use YouTube's Auto-Generated Subtitles

The easiest approach is to use YouTube's built-in auto-caption feature.

Steps

  1. Open the target video on YouTube
  2. Click the "Subtitles/CC" button at the bottom right of the video player
  3. Subtitles will appear on screen

Copying as Text

  1. Click "..." (More) below the video
  2. Select "Show transcript"
  3. A timestamped transcript appears
  4. Select and copy the text

Pros & Cons

  • Pros: No additional tools needed, free
  • Cons: Accuracy can be poor (especially for non-English languages), cannot download as SRT/VTT files, unavailable for videos without auto-captions

Method 2: Use Chrome Extensions

Several Chrome extensions specialize in downloading YouTube subtitles.

  • YouTube Summary with ChatGPT: Extract subtitle text with AI summarization
  • Glasp: Copy YouTube subtitles as text

Pros & Cons

  • Pros: Operate directly from the browser, mostly free
  • Cons: Depend on YouTube's subtitle data (won't work without captions), accuracy matches YouTube's auto-captions

Method 3: Download Subtitles with yt-dlp

yt-dlp is an open-source command-line tool that can download subtitle files directly from YouTube.

Steps

# List available subtitles
yt-dlp --list-subs "https://www.youtube.com/watch?v=VIDEO_ID"

# Download auto-generated subtitles in SRT format
yt-dlp --write-auto-sub --sub-lang en --convert-subs srt --skip-download "https://www.youtube.com/watch?v=VIDEO_ID"

Pros & Cons

  • Pros: Direct SRT/VTT file download, supports batch processing
  • Cons: Requires command-line knowledge, depends on YouTube's subtitle data

Method 4: Download Video and Transcribe with Whisper

Instead of relying on YouTube's auto-captions, transcribe the actual audio using AI (Whisper). This works even for videos without subtitles and delivers higher accuracy.

Command-Line Approach

# Download audio with yt-dlp
yt-dlp -x --audio-format mp3 "https://www.youtube.com/watch?v=VIDEO_ID"

# Transcribe with Whisper
whisper downloaded_audio.mp3 --model medium --language en --output_format srt

Using a GUI Tool

GUI tools eliminate the need for command-line operations. WhisperApp includes built-in yt-dlp integration, so you can simply enter a URL and it handles downloading and transcription in one step.

Pros & Cons

  • Pros: Works on videos without subtitles, high accuracy, directly generates SRT/VTT files
  • Cons: Downloading and processing take time, command-line setup required for manual approach

Method 5: Real-Time Transcription During Playback

Transcribe a video in real time as it plays on your PC, without downloading it.

How It Works

This method captures your PC's internal audio (via stereo mix or WASAPI loopback) and feeds it to a Whisper model in real time. Using WhisperApp's real-time transcription feature, you can simply play a YouTube video and get text output automatically.

Pros & Cons

  • Pros: No download needed, works with any video streaming service
  • Cons: Takes as long as the video's runtime, affected by playback environment noise

Comparison Summary

Method Ease of Use Accuracy No-Subtitle Videos SRT Export
YouTube Auto-Captions Very Easy Medium No No
Chrome Extensions Easy Medium No Varies
yt-dlp Subtitle DL Moderate Medium No Yes
Download + Whisper Moderate High Yes Yes
Real-Time Easy High Yes Varies

Conclusion

Choose your YouTube transcription method based on your goals and technical comfort level:

  • Ease of use: YouTube auto-captions or Chrome extensions
  • Accuracy: Whisper-based transcription
  • Subtitle files needed: yt-dlp + Whisper, or WhisperApp

For videos without existing subtitles or when accuracy matters most, Whisper-based transcription is the most reliable approach. GUI tools make it accessible even without technical knowledge.

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