Your asset library is a warehouse with no labels.

You know the file exists. You know what kind of file it is. But between the 400 campaign images, the 80 product videos, and the 200 brand documents, finding the right one feels like a coin flip. According to HubSpot's 2026 State of Marketing Report, 67% of marketing teams lose 20 or more hours weekly searching for digital assets without type-specific filters. That's half a workweek, gone.

The good news: every major platform - from digital asset management tools to Unity's project editor to Atlassian's IT asset system - has a method for searching assets by type. Most people just don't know the right syntax or workflow to use it well.

This guide covers all three contexts. Whether you're a creative professional filtering brand assets, a developer hunting for prefabs, or an IT admin querying object schemas, you'll find the exact method that fits your situation.

What does "search assets by type" actually mean?

The phrase means different things depending on where you're working. In Unity, "type" refers to a C# class - Texture2D, AudioClip, Prefab. In Atlassian Assets, "type" means an object type within a schema, like hardware, software, or a license. In a DAM platform, "type" is a file format category - images, videos, documents, design files, audio.

The method you use depends entirely on the platform and what "type" means in that context.

How to search assets by type in digital asset management (DAM) platforms

The DAM context is the most underserved on the current web - and the most relevant for marketing and creative teams. Forrester's 2024 research found that 91% of enterprises cite asset search efficiency as their top DAM selection criterion, with type and metadata filtering leading the list.

Modern digital asset management platforms handle type-based search through a combination of file format filters, metadata tags, custom categories, and AI-powered classification. The general workflow looks like this:

Common asset types you'll filter by in a DAM system include images (PNG, JPG, SVG, GIF), videos (MP4, MOV), documents (PDF, DOCX, PPTX), audio files (MP3, WAV), and design files (PSD, AI, Figma). The DAM market is projected to reach $6.2 billion by 2026, driven largely by demand for exactly this kind of advanced search capability.

Using advanced filters and AI-powered tagging

Manual tagging works - until your library hits a few thousand assets and the discipline breaks down. That's where AI-powered tagging changes the equation.

AI analyzes uploaded assets and automatically assigns type tags, descriptive keywords, and category labels. An image gets tagged as a photo, a product shot, and a specific color palette. A video gets classified by duration, content type, and format. This happens at upload, without anyone touching a metadata form.

BrandLife's advanced search and filtering is built around this model. The platform lets teams filter by keywords, apply tags, and use AI to auto-categorize assets - so a brand manager searching for "Q1 campaign videos" gets exactly that, not a mixed bag of images and PDFs. With 420+ integrations and a centralized asset library used by 12,000+ teams, BrandLife is designed for the marketing and creative workflows where type-based search matters most.

What to look for in a DAM search feature:

• Visual filter panels (no syntax required)
• AI-powered auto-tagging on upload
• Combined filters (type + date + project + team)
• Saved search views for recurring queries
• Permissions-aware results (users only see what they're authorized to access)
  
  

Organizing assets for effective type-based retrieval

Searching by type only works well if assets are organized properly before the search happens. Think of it as infrastructure: the search interface is the road, but your taxonomy is the map.

Start with a taxonomy document before you start uploading. Define your asset types, agree on naming conventions, and make metadata fields mandatory rather than optional. A simple example: images break into photos, illustrations, and icons; documents break into briefs, reports, and guidelines. Everyone on the team uses the same categories, every time.

For a deeper look at building this kind of structure, BrandLife's Guide to Digital Asset Management Workflow covers the full process from intake to retrieval. The short version: consistent naming conventions, folder structures organized by asset type, and mandatory metadata fields are non-negotiable if you want type-based search to stay reliable at scale.

How to search assets by type in Unity (game development)

Unity developers face a specific version of this problem: a project with hundreds of textures, scripts, prefabs, and audio clips, and no fast way to isolate just one type. Only 45% of game development teams have optimized asset search by type, according to Unity's 2025 developer survey - a gap that contributes to production cycles running 30% longer than necessary.

Using the t:ASSET_TYPE filter in the search window

Unity's built-in type filter is the fastest method for most searches. In the Project window search bar, type t: followed by the asset class name. Unity filters the view to show only assets of that type.

t:Texture2D

t:AudioClip

t:Material

t:Prefab

t:ScriptableObject

t:AnimationClip

t:Shader

You can combine the type filter with a keyword: t:Texture2D player returns only textures with "player" in the name.

‍

Using glob: for file extension searches

The t: filter covers Unity's recognized asset types, but it doesn't help when you need to find assets by raw file extension - a .ttf font file, a .csv data file, or a .exe plugin. That's where the glob: syntax comes in.

glob:**/*.png

glob:**/*.ttf

glob:**/*.csv

Use glob: when you need to match a specific file extension that doesn't map cleanly to a Unity asset class. Use t: when you're searching by Unity's internal type system. If you're unsure which to use, start with t: - it's faster and more reliable for standard asset types.

Searching assets by type via code

For programmatic access, Unity offers two primary methods. AssetDatabase.FindAssets is editor-only and works well for tooling and editor scripts:

// Find all Texture2D assets in the project

string[] guids = AssetDatabase.FindAssets("t:Texture2D");

foreach (string guid in guids)

{

    string path = AssetDatabase.GUIDToAssetPath(guid);

    Debug.Log(path);

}

Resources.LoadAll<T>() works at runtime but requires assets to be inside a Resources folder:

// Load all AudioClips from a Resources folder

AudioClip[] clips = Resources.LoadAll<AudioClip>("Audio/SFX");

Use AssetDatabase for editor tooling and build pipelines. Use Resources.LoadAll when you need runtime access - but note that the Resources folder approach has performance trade-offs at scale. Unity's documentation covers both methods in detail for advanced use cases.

Using the visual query builder in Unity

Unity's visual query builder offers a no-code alternative to writing search syntax manually. You select filters from dropdowns rather than typing tokens. It's particularly useful for designers or less technical team members who need to find assets without memorizing filter syntax. The query builder generates the same underlying search tokens - it just removes the need to write them by hand.

How to search assets by type in Atlassian Assets (Jira Service Management)

Atlassian Assets structures IT assets as objects within schemas - hardware, software, licenses, and similar categories. Searching by type here means filtering by object type within those schemas. Teams using this approach report measurable results: 75% of IT service teams using Atlassian Assets report faster issue resolution with type-based discovery, according to Atlassian's 2025 customer benchmarks.

Basic search in Atlassian Assets

The basic search flow is straightforward:

1. Open Jira Service Management and navigate to Assets via the app switcher
2. Select the relevant object schema from the left panel
3. Type your search term in the search bar - Assets searches across object names, attributes, and labels
4. Use the object type filter to narrow results to a specific type (e.g., Hardware, Software, License)
5. Review results and click through to the object detail view

For most day-to-day searches, this is sufficient. The search bar supports partial matching, so you don't need exact names.

Advanced search with Assets Query Language (AQL)

AQL is Atlassian's query language for complex searches within Assets. It supports boolean operators, attribute-based filtering, and nested queries - making it the right tool when basic search returns too many results or you need to combine multiple conditions.

# Find all objects of type "Hardware"

objectType = "Hardware"

‍

# Find all software assets assigned to a specific user

objectType = "Software" AND "Assigned To" = "jane.smith@company.com"

‍

# Find all licenses expiring within 30 days

objectType = "License" AND "Expiry Date" < now("+30d")

AQL follows a attribute operator value structure. Boolean operators (AND, OR, NOT) let you combine conditions. Atlassian's AQL documentation covers the full syntax reference for teams building complex queries.

Permissions and search limitations

Search results in Atlassian Assets are governed by user permissions. If a user doesn't have access to a particular object schema or object type, those objects won't appear in search results - even if the query is technically correct.

Why your search might return no results:

• You don't have permission to view the relevant schema
• The object type name is misspelled or uses a different case
• The object hasn't been created in the schema yet
• Fuzzy matching is off and your search term doesn't match exactly
• You're searching in the wrong schema scope

Comparison of search-by-type methods across platforms

No competing guide puts these three approaches side by side. Here's how they stack up across the dimensions that matter most for choosing the right method - or the right tool.

The pattern here is clear. If you're a developer or IT admin, the platform-native syntax methods (Unity's t: filter, Atlassian's AQL) are purpose-built for your workflow. If you're a marketing or creative professional, those methods introduce unnecessary friction. Digital asset management platforms handle type-based search through visual interfaces and AI automation - no query language required.

Best practices for searching assets by type (any platform)

Establish a consistent asset taxonomy

Before search works well, you need a classification system everyone agrees on. Define your asset types, document them, and make the taxonomy accessible to every team member who uploads files. An example structure: images break into photos, illustrations, and icons; documents break into briefs, reports, and guidelines; videos break into product demos, testimonials, and brand films.

The taxonomy document doesn't need to be complex. It needs to be consistent and enforced.

Use metadata and tags consistently

Metadata is the backbone of type-based search. Every asset should carry type tags, descriptive keywords, project associations, and version information. Without this, even the best search interface returns noise.

Essential metadata fields to standardize:

• Asset type (image, video, document, audio, design file)
• File format (PNG, MP4, PDF, PSD)
• Project or campaign name
• Creation date and version number
• Owner or team
• Usage rights or license status

Platforms with AI-powered tagging - like BrandLife - automate the initial layer of this work. But even with automation, human review of edge cases and custom categories remains valuable.

Combine type filters with other search criteria

Filtering by type alone often returns hundreds of results. The real efficiency gain comes from combining type filters with other dimensions. A brand manager looking for all video assets from Q1 2026 for a campaign retrospective doesn't just filter by "video" - they filter by video + date range (January–March 2026) + campaign tag. That combination takes a result set from 300 to 12.

Most DAM platforms and Atlassian Assets support multi-criteria filtering natively. In Unity, you can combine t: with keyword terms in the same search bar.

Audit and clean your asset library regularly

Libraries accumulate duplicates, outdated versions, and miscategorized files over time. A quarterly audit keeps type-based search accurate. Monthly audits work better for high-volume operations.

A basic quarterly audit checklist:

• Remove or archive duplicate assets
• Update type tags on miscategorized files
• Delete outdated versions (or archive them with version control)
• Verify that new asset types added during the quarter are reflected in the taxonomy
• Check that mandatory metadata fields are populated across recent uploads

Version control features - which BrandLife includes as a core capability - provide a safety net here. You can archive rather than delete, keeping history intact while keeping the active library clean.

Troubleshooting common issues when searching assets by type

Search returns no results

This is the most common frustration, and it almost always has a fixable cause. Work through this checklist before assuming the asset doesn't exist:

1. Check the spelling of the type name - t:Texture2d won't work in Unity; it needs to be t:Texture2D
2. Verify you have permission to view the relevant schema, project, or folder
3. Confirm the asset has been indexed - newly uploaded assets sometimes take a moment to appear in search
4. Check that the asset has the relevant type tag or metadata applied
5. Make sure you're searching in the right scope (correct project in Unity, correct schema in Atlassian, correct workspace in your DAM)
6. Try broadening the search - remove secondary filters and search by type alone first

Search returns too many irrelevant results

This happens when type categories are too broad or metadata is inconsistent across the library. Three fixes tend to work:

Use a more specific type filter - instead of filtering by "image," filter by "illustration" or "product photo" if your taxonomy supports it. Combine the type filter with at least one additional criterion (date, project, keyword). Refine your taxonomy to add subcategories where a top-level type is returning too much noise.

Fuzzy matching and partial results

Some platforms use fuzzy matching by default, which can surface unexpected results when your search term is close to - but not exactly - a type name. If you're getting partial matches you didn't expect, look for an exact match toggle in the search settings. In AQL, use = for exact matching rather than LIKE for partial matching. In Unity, the t: filter uses exact class names, so partial type names won't resolve correctly.

Why the right platform makes asset search effortless

If you've worked through this guide and the methods feel more complex than they should, that's worth paying attention to. The friction isn't always a technique problem - sometimes it's a tool problem.

Modern DAM platforms are built specifically for the scenario where a non-technical team member needs to find the right asset, fast, without writing query syntax or managing schemas. BrandLife's AI-powered tagging, advanced search and filtering, version control, and 420+ integrations are designed to make type-based search a single-click operation rather than a multi-step process. The platform holds a 4.7/5 rating on G2, and 82% of organizations using DAM platforms with this kind of metadata infrastructure report improved content discovery as a direct result.

The right platform doesn't just make search faster. It makes the entire asset lifecycle - from upload to retrieval to team collaboration - more reliable. If your current tool is making type-based search harder than it needs to be, it's worth seeing what a purpose-built DAM can do.

Book a Demo and see how BrandLife makes searching assets by type as simple as a single click.