Air vs Canto

Air vs. Canto: A Modern Creative Ops Platform or a Legacy DAM

Canto centralizes assets in folders. Air keeps the full context of the work intact, so your team can see what's approved, understand how it was used, and build on it without starting over. That's the difference between storing files and scaling creative output.

See how Air compares to Canto for teams evaluating alternatives—or planning a migration.

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Built for how creative teams work today

Why teams choose Air over Canto

Canto helped define digital asset management. It was built in an era when the goal was simple: organize and store files in a central place.

But creative work has changed.

Today, teams don't just need storage—they need a system that keeps assets, approvals, versions, and context connected so work stays usable after it's approved. That's where many teams evaluating (or moving on from) Canto start to feel the gap.

Air was built for that new reality: to make creative findable, reusable, and scalable.

Modern architecture

Built for today's workflows—not layered on over decades

Canto has evolved over 35 years, adding features on top of a legacy foundation built around folders and metadata. That history brings depth, but also complexity in how teams use the platform day to day.

Air was built from scratch around how modern creative teams actually work: fast-moving, collaborative, and constantly iterating. The result is a system that feels intuitive and scales without adding friction.

Creative context

Canto stores files. Air keeps the work usable.

Canto organizes assets so they can be retrieved later. But retrieval isn't the same as clarity: teams still have to figure out which version is final, what was approved, and whether a file is ready to use.

Air removes that ambiguity. Every version, comment, and approval stays connected to the work itself, so teams can move from finding an asset to using it immediately.

AI-powered workflows

Search, adapt, and scale creative by context

Canto relies heavily on metadata and folder structures to make assets searchable. That means your system is only as good as the tagging discipline behind it.

Air uses AI to understand what's actually in your assets—visual content, text, objects, people, and context—so teams can search naturally and find what's approved instantly. That same layer extends into editing and adaptation, helping teams turn existing work into new output faster.

Compare Air vs Canto

Both platforms manage digital assets. The difference is what they enable teams to do with them.

Air

Canto

Pricing Model

Transparent, self-serve-friendly

Quote-based pricing

Entry Point

Accessible for lean teams

Potentially higher starting cost

Time to Value

Immediate setup, fast adoption

Requires onboarding and configuration

Contract Structure

Flexible plans

More structured contracts

Setup Time

Hours to deploy and start using

Guided onboarding required

Ease of Use (G2)

Higher ease-of-use ratings

Lower relative ease-of-use scores

Interface

Visual-first, intuitive

More traditional DAM interface

Learning Curve

Minimal training needed

Steeper learning curve

Review & Approvals

Comments, approvals, and version history stay attached directly to the asset

Offers approvals and workflow tools, including Approval Hub and AI-powered approval support, but within a more traditional DAM structure

Version Control

Full version history with clear approved states and production context

Includes version control, but positioned more around content control than end-to-end creative decision history

Workflow Visibility

Organize, review, approve, and reuse in one visual workflow

Supports customizable workflows and collaborative workspaces, but with a more structured DAM approach

Collaboration Model

Built around day-to-day creative collaboration and fast handoffs

Supports collaboration, permissions, and content controls

Admin Overhead

Lightweight and intuitive for creative teams to adopt directly

More setup, training, and system management as workflows and structure get more complex

Search Method

AI-powered contextual search (visual, text, objects, transcript, intent)

AI-assisted search + metadata and keyword-based search

Tagging

Automatic via AI with minimal setup

AI tagging available, but often used alongside structured metadata

Discovery

Find assets based on what's in them, how they were used, and whether they're approved

Find assets based on tags, keywords, and configured metadata

AI Capabilities

Built directly into search, editing, and asset reuse workflows

AI tagging, search, and metadata enrichment layered onto DAM

Time to Value (AI)

Works out of the box with minimal configuration

Value improves with setup, metadata structure, and tuning

Innovation Speed (G2)

9.7

9.0

Product Philosophy

Creative system of record

Traditional DAM

Focus

Organize, Approve, Multiply

Store, Manage, Distribute

How Air compares to Canto in real workflows

Canto has been in the DAM market for decades, and for teams evaluating it, that longevity can signal stability. But for creative teams managing fast-moving production today, the more useful question is whether that legacy foundation still fits the way modern work gets made, approved, and reused.

Canto helped define DAM. But creative work has changed.

Canto was built when the primary challenge was centralization—getting files out of shared drives and into a structured system.

That problem has largely been solved.

Today, the bottleneck isn't storage. It's reuse. Teams don't struggle to store assets—they struggle to find what's approved, understand how it was used, and turn it into new output without starting over.

Where legacy DAM architecture starts to show

Over time, the way Canto is built becomes a constraint:

  • Folder structures become harder to navigate as libraries grow

  • Metadata needs constant upkeep to stay useful

  • Context around assets gets lost between versions and approvals

  • Collaboration happens outside the system, not inside it

These UX issues are the result of a system designed for organization first, not iteration.

What falls through the gaps

As creative output scales, the gaps become more visible:

  • Approved assets are still hard to identify quickly

  • Teams recreate work because context is missing

  • Search depends on how well things were tagged

  • Feedback and approvals live outside the asset

  • Version history is fragmented or unclear

This is where teams lose momentum — and why output slows as scale increases.

Where Air fits into the workflow

Air approaches DAM differently — not as a storage system, but as a creative system of record.

  • Every version, approval, and comment stays attached to the asset

  • Teams can instantly see what's approved without cross-checking tools

  • Search works on what's in the asset, not what someone tagged

  • Approved work can be adapted and reused without starting over

  • Creative workflows (review, iteration, approval) happen in one place

The result: less time managing files, and more time building on work that's already been done.

How teams choose between Air and Canto

Canto is built for organizing and storing assets in structured systems. That model works when the goal is long-term storage and controlled distribution.

But modern creative teams don't just need storage. They need to move assets through production, approvals, and reuse without losing context.

Air is designed for that reality — where creative work is constantly evolving, reused, and adapted across channels.

If your goal is to centralize files, both platforms can do that.

If your goal is to keep creative work usable, scalable, and ready to build on, the difference becomes clear.

Why teams are moving off Canto

For many teams, the decision to leave Canto isn't about missing features — it's about how the system fits into day-to-day creative work.

As production speeds increase, the limitations of a storage-first system become more visible:

  • Teams spend time figuring out what's approved

  • Context gets lost between versions and approvals

  • Search depends on metadata discipline

  • Work is recreated instead of reused

This is why more teams are actively looking to migrate their asset libraries into systems that support how creative work actually happens today.

Air is built for that transition — giving teams a way to bring their assets, context, and workflows into a single system without rebuilding everything from scratch.

Join 1,000+ creative teams moving faster with Air.

Make it once. Run it everywhere. Stop recreating work and start scaling what's already approved.

Air vs Canto FAQs

What is the difference between Air and Canto?

Canto is a traditional DAM focused on organizing and storing assets. Air is a creative system of record that keeps assets, approvals, versions, and context connected so teams can reuse and scale work.

Is Air a replacement for Canto?

Yes — especially for teams looking to move beyond storage and adopt a system that supports approvals, version history, and asset reuse in one place.

How do you migrate from Canto to Air?

Most teams migrate by importing their existing asset libraries into Air, then organizing them into a system that connects assets, approvals, and workflows. Air's onboarding is designed to make this transition fast, without requiring complex restructuring or long setup periods.

Why are teams migrating from Canto?

Teams typically migrate from Canto when storage alone isn't enough — especially when they struggle to find approved assets, rely heavily on manual metadata, or need better visibility into versions, approvals, and reuse.

Does Air support AI-powered search?

Yes. Air uses AI to understand the content of assets—visuals, text, objects, and context—so teams can search naturally and find what they need instantly.

Which teams should choose Air over Canto?

Creative and marketing teams that prioritize speed, collaboration, and reuse are typically a better fit for Air.

Real teams, real results

See how creative teams use Air to move faster, stay aligned, and get their best work out the door.

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