YouTube Playlist Analyzer

Every report opens with the coverage figures, because they determine how much weight the rest deserves:

1. 1Total playlist entries - how many items the playlist contains
2. 2Videos successfully analyzed - how many returned usable data
3. 3Videos skipped - how many didn't
4. 4Combined accessible duration - in hours, minutes, and seconds
5. 5Average duration of included videos - see the calculation below

Alongside those:

Combined views are calculated by adding the available public view counts of the included videos. They don't represent views generated through this particular playlist - YouTube doesn't make playlist-specific viewing data public, so no tool working from public data can infer it.

Duration comes from contentDetails.duration and view data from the video's statistics, both available when those resources are retrievable.

The distinction matters when entries get skipped. The average is found by dividing the combined duration of the included videos by the number of videos whose durations were retrieved - not by the total entry count. Dividing by every entry, including the unreadable ones, would understate the average and make a playlist of long videos look shorter than it is.

A worked check: 24 successfully analyzed videos totalling 8 hours 12 minutes have an average duration of 20 minutes 30 seconds. If a playlist contained 27 entries but three were unavailable, the same calculation would use only the 24 videos whose durations were retrieved.

Read this before planning around it. Faster-speed estimates cover video runtime only. Ads, buffering, breaks, and transitions between videos can increase actual completion time.

For a long course playlist, the gap between the estimate and reality is usually substantial. Runtime is a floor, not a forecast.

The analyzer supports large playlists by retrieving available entries across multiple result pages. Processing time may increase with playlist size.

YouTube returns playlist items in pages of up to 50, so a 400-entry playlist requires at least eight playlist-item page requests, plus any requests needed to retrieve the associated video details.

That's why a long playlist takes longer than a short one, and why the entry count in the report is worth checking against what YouTube shows on the playlist page.

YouTube may show the number of playlist entries, but its standard interface generally doesn't provide a complete combined-duration and average-length report.

So the count is often available to you already. What isn't is the aggregate: total runtime, average length, the spread between longest and shortest. That's the work this tool does - arithmetic across the whole set rather than a per-video listing.

1. 1Split a sprawling playlist into smaller themed ones by topic or difficulty level.
2. 2Order videos so they build from foundational to advanced.
3. 3Remove duplicates and off-topic entries.
4. 4Review skipped entries and remove those that are permanently deleted, private, or no longer relevant. Some entries may be temporarily unavailable or restricted only in certain regions.
5. 5Use the combined runtime to work out how many sessions you actually need.
6. 6Rename the playlist so its purpose is obvious six months later.