ToolGrid — Product & Engineering
Leads product strategy, technical architecture, and implementation of the core platform that powers ToolGrid calculators.
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Audio Metadata Viewer helps you quickly inspect what’s inside an audio file without opening a full editor. Upload a file and the tool probes technical details such as container format, audio codec, duration, and file size, then extracts common tag fields including title, artist, album, album artist, genre, date/year, track, disc, and comment. This is useful for troubleshooting “Unknown Artist” issues, verifying podcast exports before publishing, checking whether a download actually contains tags, and generating a clean metadata report for clients or archiving. The viewer includes a Sample input button so you can see real tags immediately, and it can export the detected metadata as a JSON report for documentation or workflow automation. For paid users, an optional AI Assistant can summarize missing fields and potential problems (for example, a title that looks like a filename) and suggest conservative tag values based on the filename and existing tags. AI runs only when you request it and is processed securely on the backend.
Note: AI can make mistakes, so please double-check it.
Copy metadata as JSON for debugging or archiving.
Metadata is probed on the backend for more reliable technical details.
Free plan includes audio uploads up to 20MB. Paid plans unlock files up to 50MB.
Upgrade to upload larger audio filesGet a short explanation of what was detected and warnings for missing or inconsistent fields.
Common questions about this tool
Upload your audio file and the tool will probe technical info and read common tag fields. You’ll see values like title, artist, album, and year, plus codec and container details.
It shows common tags such as title, artist, album, album artist, genre, date/year, track, disc, and comment. It also shows duration, codec, container format, and file size.
Yes. Use Copy JSON to copy a clean JSON report that includes file info and the detected tags. This is useful for documentation and workflow checks.
Some audio files simply don’t contain tag data, and some containers store metadata differently. If tags are missing, you can add them using an audio metadata editor and then re-check the output.
When you click Explain metadata with AI, the tool sends the filename and a compact metadata summary to a secure backend service. It returns a quick summary of missing fields and potential issues plus conservative tag suggestions.
Upload your audio file and the tool will display detected tags like title, artist, album, and year. It also shows technical metadata like codec, container format, duration, and file size.
Use the Audio Metadata Viewer to probe the file and list common tag fields. If a field is blank, the file likely doesn’t contain that tag or it’s stored differently in the container.
After you upload a file, click Copy JSON to copy a report containing the detected file info and tags. This is useful for documentation and workflow checks.
That usually means the Artist tag is missing or set to a placeholder value. View the tags in the tool, then add or correct the artist field using a metadata editor and re-check the output.
No. The Audio Metadata Viewer only reads and displays metadata and can export a JSON report. If you want to write new tags, use an audio metadata editor.
Verified content & sources
This tool's content and its supporting explanations have been created and reviewed by subject-matter experts. Calculations and logic are based on established research sources.
Scope: interactive tool, explanatory content, and related articles.
ToolGrid — Product & Engineering
Leads product strategy, technical architecture, and implementation of the core platform that powers ToolGrid calculators.
ToolGrid — Research & Content
Conducts research, designs calculation methodologies, and produces explanatory content to ensure accurate, practical, and trustworthy tool outputs.
Based on 2 research sources:
Learn what this tool does, when to use it, and how it fits into your workflow.
Audio metadata is the “label” information stored inside an audio file. It includes things like title, artist, album, year, genre, track number, and comments, plus technical details such as codec, container format, duration, and file size. If your music player shows “Unknown Artist,” your podcast export is missing an episode title, or a client asks for a quick “what’s in this file?” report, you need a fast way to inspect metadata. This Audio Metadata Viewer is built for that exact job.
Many users search for “view MP3 metadata,” “read ID3 tags,” or “check song info” because metadata affects day-to-day playback. Libraries are grouped by artist and album using tags, not filenames. When tags are missing or inconsistent, your player may split one album into multiple entries or hide tracks under “Unknown.” For podcasts, episode metadata is often used as the display title and sorting key in apps.
Metadata viewing is also practical for workflows: verifying exports, checking whether a download contains tags, and documenting files before you deliver them. A JSON metadata report can be useful when you hand off audio to a client, or when you archive recordings and want to search later without opening each file.
A metadata viewer should show both “what the file is” and “what the file says.” Technical details describe the media stream: codec (for example, AAC or MP3), container (for example, M4A or MP3), duration, and size. Tags describe the content and context: title, artist, album, year, and so on. Both are important. A file can have correct tags but the wrong codec for a platform, or the right codec but missing tags that break library organization.
If you want quick guidance, the AI Assistant can analyze the detected metadata and produce a short summary of missing fields and potential issues. It can also suggest conservative tag values based on the filename and existing tags. This is useful when you have a large collection with inconsistent tags and you want to know what to fix first. The AI runs only when you click the button, and processing happens on the backend.
If the viewer shows blanks for title, artist, or album, that usually means the file simply does not contain tag data. Some formats are frequently distributed without tags, and some exports strip metadata by default. In that case, the best fix is to write the missing fields using a tag editor, then re-check the output. A simple baseline is: set title, artist, album (if applicable), and date/year so the file sorts correctly in most players.
If the viewer shows a title that looks like a filename (for example, underscores, extra hyphens, or an extension), treat that as a cleanup task. Consistent capitalization and removing noise makes browsing easier and reduces duplicate entries when different apps display tags differently. Track and disc numbers are optional but helpful for full albums.
Exporting a JSON report is useful when you need to document audio assets. For example, you can attach the report to an email handoff, store it alongside your archive, or compare versions when you re-export a file and want to confirm that codec and duration did not change. It is also handy when you are debugging why a platform rejected an upload and you want a quick snapshot of the technical metadata without opening a desktop editor.
If container and codec look unfamiliar, focus on compatibility. Some players handle MP3 everywhere, while M4A/AAC is common for mobile and streaming workflows. Duration is a practical sanity check: if the viewer shows a much shorter duration than expected, the file may be truncated.
In most libraries, title and artist are the highest-impact fields to check first. If they are missing, you will often see “Unknown” entries or broken album grouping.
For tags, prioritize the fields that drive display in most apps: title, artist, and album. Date/year is helpful for sorting. Genre can be useful but is often inconsistent across libraries, so keep it simple if you use it. Comments are best for internal notes rather than user-facing text.
Metadata viewing is often followed by editing, analysis, or conversion. These tools can help:
We’ll add articles and guides here soon. Check back for tips and best practices.
Summary: Audio Metadata Viewer helps you quickly inspect what’s inside an audio file without opening a full editor. Upload a file and the tool probes technical details such as container format, audio codec, duration, and file size, then extracts common tag fields including title, artist, album, album artist, genre, date/year, track, disc, and comment. This is useful for troubleshooting “Unknown Artist” issues, verifying podcast exports before publishing, checking whether a download actually contains tags, and generating a clean metadata report for clients or archiving. The viewer includes a Sample input button so you can see real tags immediately, and it can export the detected metadata as a JSON report for documentation or workflow automation. For paid users, an optional AI Assistant can summarize missing fields and potential problems (for example, a title that looks like a filename) and suggest conservative tag values based on the filename and existing tags. AI runs only when you request it and is processed securely on the backend.