How to Get a Transcript from a YouTube Video
Whether you need to review a recorded university lecture, cite a documentary, or repurpose audio into an article, reading text is up to five times faster than watching video. Here are the two most reliable methods to get a full transcript from any YouTube video.
Method 1: Extract Clean, Formatted Paragraphs with Transcriptly
The easiest way to obtain readable prose without messy one-line subtitle breaks is by using Transcriptly.
- Copy the YouTube video URL: Open your video in YouTube and copy its link from the browser address bar (e.g.,
https://www.youtube.com/watch?v=...orhttps://youtu.be/...). - Paste the link into Transcriptly: Navigate to Transcriptly Home and paste the URL into the input box.
- Configure your preferences (optional): Choose whether you want timestamps included, format paragraphs into structured blocks, or translate the transcript into another language.
- Click Extract Transcript: Within 1 to 2 seconds, Transcriptly fetches the subtitle stream and automatically stitches fragments into natural, punctuated paragraphs.
- Copy or Save: Click “Copy All” to copy to your clipboard, export in TXT/SRT format, or click “Save to My Library” to keep it permanently in your personal digital reader.
Method 2: Using the Official YouTube Web Player
YouTube includes a built-in transcript viewer directly under the video description:
- Open the video on YouTube using a desktop browser.
- Click “...more” in the video description box to expand the details.
- Scroll down and click “Show transcript”.
- A transcript panel will appear on the right side of the video, showing line-by-line subtitle phrases.
0:04 Hey guys 0:06 welcome back 0:08 to the channel), requiring tedious manual cleanup. Transcriptly solves this by assembling sentences automatically.What if the Video Has No Captions?
Some YouTube videos lack both creator-uploaded subtitles and automated captions (often due to background music, non-supported dialects, or creator preferences). In Transcriptly, you can toggle on Local Speech Recognition Fallback, which processes the speech stream directly on your machine without third-party fees.