A transcript on its own is a wall of text. It tells you what was said, but not whether anyone listened, when it was said or who said it.
So every transcript in Scriptube comes with the story behind it.
What comes with each transcript
For every video, you get:
- Title
- Publish date
- Duration
- Views
- Likes
- Comment count
- Thumbnail
- Channel
These details are shown on the cards in your library, so you can judge a video before opening it.
Why the details matter
Context turns text into evidence
A claim made in 2019 and the same claim made last month are different things. The publish date lets you date every quote. If you cite videos in your work, the title, channel and date are what a reader needs; our guide on citing YouTube videos with timestamps shows how to put them to use.
Popularity tells you where to look first
Views, likes and comments are the quickest signal of what an audience cared about. A thousand transcripts is too many to read. The ten with the most views are a sensible place to begin. Pair this with sorting, described in sort a channel by views, likes and comments.
Duration helps you plan
A 4-hour live stream and a 30-second Short are very different reading jobs. Seeing the duration up front helps you decide what to open now and what to skim later.
Thumbnails and channel make browsing human
When you have transcripts from many creators, the thumbnail and channel name let you scan a grid the way you scan YouTube itself, without opening each item.
Use cases
- Researchers can date every statement and filter by channel. See how researchers use transcripts.
- Marketers can compare which topics earn views and comments across competitors.
- Journalists can pull the date and source for a quote in seconds. See fact-checking with transcripts.
- Data teams can build datasets where each row carries both the text and its context.
Take it with you: exports
Your transcripts export as TXT, CSV, JSON, JSONL, SRT and VTT, plus a ZIP of all TXT files. For the structure of the structured formats, see the JSON, JSONL and CSV schema guide. Reading or exporting transcripts you already own is free.
For developers
If you work through the API, the developer docs cover what is available, and webhooks can tell you when a batch is complete.
Browse like a catalogue, not a folder
Because the details sit on every card, your library behaves like a catalogue. Switch between grid and list view, filter by channel and language, search for a topic, then sort by posted date, views, likes, comments, duration, title or date added. Each of those is a question you can answer without opening a single transcript: what is newest, what is most watched, what drew the most discussion, what is shortest. It is a small thing, but when you are staring at hundreds of videos, it is the difference between browsing and guessing.
One honest note about the numbers
Views, likes and comment counts change over time on YouTube. Check the source video if you need a figure to the exact day.
A quick example
Imagine you have pulled a whole channel of a few thousand videos. Without the details, you have a folder of text files. With them, you can:
- Sort by views and read the top 20.
- Note which of those are Shorts, which are live streams and which are regular uploads.
- Check the publish dates to see whether the hits cluster in one period.
- Export the transcripts and keep working with them in your own tools.
That is a small research project that takes minutes instead of days, and it starts with the details that arrive with every transcript.
See the details for yourself: run a batch from your dashboard, or review plans and credits.