Free YouTube Video Metadata Viewer — Every Hidden Field, One Tool

The YouTube Data Viewer surfaces every piece of metadata the YouTube data source exposes for any public video — title, full description, all tags, category, language, captions status, license type, made-for-kids flag, embeddability, views, likes, comments, and thumbnails in four sizes. Paste a video URL and you get the complete picture in under two seconds. No login, no extension, no API key.

This matters because the YouTube UI hides most of this. You see a title and a view count. You don't see the tags, the exact category ID, whether captions are available, or whether the video has been flagged as licensed content. This tool shows all of it.

What YouTube Video Metadata Actually Includes

Most people think "metadata" means title and tags. The full picture is considerably more detailed. YouTube's API exposes separate fields for:

• Basics: Title, channel name, channel ID, publish date, duration in seconds, definition (HD or SD), and default audio language
• Classification: Category name and numeric ID, topic categories (Wikipedia-linked topics YouTube assigns automatically)
• Stats: View count, likes, comment count, favorites
• Status flags: Privacy status (public/unlisted/private), license (Creative Commons vs standard YouTube), whether captions exist, whether the video is embeddable, whether it's marked made-for-kids, and whether it contains licensed content
• Tags: Every tag the creator added, displayed individually
• Description: The full raw description text exactly as stored — includes timestamps, hashtags, affiliate links, and chapter markers
• Thumbnails: All four sizes — default (120x90), medium (320x180), high (480x360), and maxres (1280x720) where available

The YouTube Studio UI shows creators their own full metadata when editing. For any other video — a competitor's upload, a video you're researching, or your own older uploads — this viewer is the fastest way to pull all of it at once.

How to Use the YouTube Metadata Viewer

The workflow is two steps: paste and view.

1. Grab the URL: Copy any YouTube video URL from your browser's address bar. Formats like youtube.com/watch?v=abc123, youtu.be/abc123, and raw video IDs all work.
2. Paste and click View Data: The tool fetches metadata and organizes it into cards — Basics, Category & Topics, Stats, Status & Flags, Tags, Description, and Thumbnails.

Once the data loads, you have two export options. Copy JSON grabs the full raw API response — useful for pasting into spreadsheets, feeding into AI prompts, or logging to a database. Copy as Text produces a human-readable summary — better for quick notes or sharing with a team that doesn't need the raw structure.

The description renders as plain text with all formatting preserved. Hashtags, timestamps, and URLs are visible but not clickable — which is intentional. You're analyzing the structure, not navigating away.

Using YouTube Metadata for Competitor Research

The most practical use for most creators: pulling apart what's working for other channels in your niche.

Run any well-performing competitor video through the metadata viewer and you immediately see their full tag set (which YouTube Studio hides from you as a viewer), the exact category they chose, whether they're using Creative Commons licensing, and how they've structured their description. Compare that against a video from the same creator that underperformed. Look for the differences.

A few specific things worth checking on competitor videos:

• Tags: What keywords do they include that you don't? Our YouTube Tag Extractor is purpose-built for this if tags are your primary focus — but the data viewer shows tags alongside everything else.
• Category: Which category did they use? The YouTube Category Checker is a faster single-purpose tool if you're checking categories across many videos.
• Topic categories: These are automatically assigned by YouTube's algorithm and show how it classified the content. A fitness video might get tagged with "physical exercise" and "health" — or it might not. Knowing which topics YouTube assigned helps you understand what audience segments it's being served to.
• Description structure: Long? Short? Keyword-dense in the first 100 characters? Chapter markers? All of it is visible in plain text.

For pulling full channel video lists to run this process at scale, see the guide on pulling every video from a YouTube channel.

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Auditing Your Own Video Back-Catalog

Competitor research gets most of the attention, but auditing your own videos is equally valuable — and often more actionable.

Run your older uploads through the metadata viewer and check for:

• Missing or thin tags: Videos with few or no tags lose search discoverability. The YouTube data source shows you exactly how many tags each video has.
• Wrong category: It's common to upload a video and accept the default category without thinking. "People & Blogs" is the default for many creators — and it's often the lowest-RPM option. If your content is really "Education" or "Howto & Style," switching can affect both reach and revenue.
• No captions: The captions flag tells you whether captions exist on the video. Videos with captions rank better in search and reach wider audiences. If captions show as false, that's a quick win.
• Made-for-kids flag: If a video is incorrectly flagged as made for kids, it's blocked from personalized advertising — meaning dramatically lower RPM. The metadata viewer surfaces this flag immediately.
• Missing language setting: The language field shows what audio language is set. A video with no language set is less likely to surface in search results for speakers of that language.

The YouTube Video Audit tool runs a structured best-practices check on the same data — useful if you want a scored report rather than raw fields.

What the Licensed Content Flag Actually Means

One of the more confusing fields is Licensed Content. This is a boolean that YouTube sets — not the creator — and it means the video has been identified as containing content claimed by a rights holder through Content ID.

This is different from the License field, which reflects what the creator set when uploading (Standard YouTube License vs Creative Commons). A video can have Standard YouTube License (meaning you can't reuse it) while also having Licensed Content set to true (meaning a music company claimed a track in the video).

Why does this matter? If Licensed Content is true, some or all of the ad revenue from the video may be going to the rights holder rather than the creator. For your own videos, spotting this flag is a quick way to identify videos where Content ID claims might be eating into your earnings. For competitor research, it tells you whether their video is likely unmonetized or monetization-split.

The YouTube Copyright Music Checker is a dedicated tool that focuses specifically on music-related copyright risk if you want a more targeted check.

How This Differs From YouTube Analytics

YouTube Analytics (in Studio) shows you deep performance data for your own videos — watch time, impressions, click-through rates, audience retention, traffic sources. That data is private and only accessible to the channel owner.

The YouTube Data Viewer works from publicly available API data — no authentication required. It shows the metadata that YouTube exposes for any video, not the analytics behind it.

Think of it this way: Analytics tells you how a video performed over time. The metadata viewer tells you everything about the video's setup — the information that was true at upload and that other tools and the YouTube algorithm use to classify the content.

For creators, both are useful but for different questions. Analytics answers "how is this performing?" The metadata viewer answers "what does YouTube actually know about this video?" The latter is the question that matters most for competitive research and SEO.

Exporting and Using the Metadata Downstream

The Copy JSON button gives you the full raw API response as a JSON string. Paste that directly into:

• Google Sheets: Use "Data > Split text to columns" on the key fields you care about, or paste the JSON into a cell and use Apps Script to parse it.
• AI prompts: "Here's the metadata for a competitor video [paste JSON]. What patterns do you notice in the tags and description that I should adopt?"
• Airtable: Paste into a long-text field and use Airtable's AI features to extract structured fields.
• Notion: Any database with a text or code block field works for archiving metadata snapshots over time.

The Copy as Text option produces a clean, human-readable summary — better for weekly reports, sharing with a team, or pasting into a document alongside your own notes.

One practical research workflow: pull metadata for the top 10 videos in your niche, copy each as JSON, and drop all 10 into a single AI prompt asking it to identify the common patterns across tags, categories, and description structures. You'll get a pattern analysis in seconds that would take an hour to do manually.

Frequently Asked Questions

Does this work for YouTube Shorts?

Yes — Shorts are standard YouTube videos with a vertical aspect ratio and duration under 60 seconds. Paste a Shorts URL and the metadata viewer shows all the same fields: tags, category, captions, stats, made-for-kids flag, and thumbnails. The only difference is Shorts thumbnails are vertical, so the preview appears taller.

Can I see metadata for private or unlisted videos?

Private videos are not accessible — the API returns an error for videos set to private. Unlisted videos are accessible if you have the URL. If you have a link to an unlisted video, the metadata viewer will return its full data. The privacy status field will show 'unlisted' so you know what you're looking at.

Does YouTube store the original upload file metadata?

YouTube strips most file-level metadata (EXIF, GPS, camera data) when you upload a video — it doesn't expose this through the API. What you see in the viewer is the metadata YouTube stores about the video content itself: the creator-entered fields and the algorithm-assigned classifications. File-level metadata from the original recording is not accessible.

Why do some videos show no tags?

Many creators, especially larger channels, have stopped using tags in recent years following YouTube guidance that tags have minimal SEO impact for most searches. Tags still matter for misspellings and niche terms, but it is increasingly common to find popular videos with zero tags. If a video shows an empty tag list, the creator simply chose not to add any.

Is there a way to view metadata for deleted videos?

Once a video is deleted from YouTube, its API data is no longer accessible. The viewer will return a 'video not found' error for deleted video IDs. Some archived copies of video metadata may exist on the Wayback Machine or in third-party datasets if the video was scraped before deletion, but there is no reliable way to retrieve this data after the fact.