Video is rarely the only thing a brand produces. You've got product photography, social graphics, decks, and campaign files, and all of it has to be findable by people who didn't make it.

So instead of ranking tools on video features alone, each option gets judged by the media type and workflow it was actually built for. A tool built for frame-accurate editor feedback solves a different problem than one built to manage a full brand library (for example).

What follows is seven tools reviewed for features, strengths, limitations, and pricing, plus a buyer's checklist for evaluating any DAM for video and rich media.

These three categories get lumped together, but they solve different problems. Picking the wrong one means either paying for capability you'll never touch or bolting a second tool onto the first. Here's the short version before you start comparing:

• MAM (media asset management): Built for broadcast- and production-scale video pipelines with heavy proxy, transcode, and bring-your-own-storage requirements. Think petabyte archives and editorial teams.

• Video review tool: Built for frame-accurate post-production feedback on video and audio only. Editors and clients trade notes on cuts.

• DAM or creative operations platform: Built to hold the full library, including video, stills, design files, and brand assets, with search, approvals, and reuse across channels.

A quick decision test: if 90% of your output is long-form video moving through an edit pipeline, look at a MAM. If video is one of many media types your brand produces and marketing needs self-serve access to all of it, you need a DAM with real video intelligence.

The seven tools below span all three categories: Air, Frame.io, iconik, Adobe Experience Manager Assets, Orange Logic, Canto, and Focal. Each earns its spot for a specific buyer, so the "best" choice depends entirely on your media mix and team. The table gives you the quick overview before the detailed breakdowns.

Air is a creative operations platform that helps marketers and creative teams manage and multiply assets. The platform keeps assets, versions, approvals, and context together in one visual workspace, which is why marketing can find an approved video and adapt it for a new channel without going back to the creative team every time.

Standout features

Air's video intelligence lives inside a full rich-media library. Some key capabilities include:

• Transcription in 100+ languages makes clips searchable by spoken word

• Smart Chapters auto-segment long videos into jumpable sections

• AI Summaries let you skim long cuts in seconds

• Optical Character Recognition (OCR) indexes on-screen and in-document text

• Proxy generation delivers smooth playback without downloads

• Video editing gives you burned-in captions, transcript editing, clipping, and time-range timeline comments

• Visual Annotations pin feedback to exact coordinates on images or timestamps on video

• Version Stacking surfaces the current approved cut by default with compare and revert

• Custom status fields sync to Kanban views so assets visibly move from "In Progress" to "Approved"

• Conversational Search and AI auto-tagging work alongside Custom Fields and Boards

• Canvas multiplies approved work with video trimming, reframe for aspect ratios, image-to-video, and batch edits

• Cloud Imports from Google Drive, Dropbox, Box, and SharePoint

• Air Flow for macOS: two-way Finder sync, Selective Sync, and Offline Access

• Integrations include Figma, Canva, Slack, Shopify, WordPress, API, Zapier, and more

Strengths

Air covers video and everything else in one library, so teams stop paying for and syncing between a separate review tool and a DAM. For example, Beautiful Destinations migrated 40,000 assets off a legacy DAM in two weeks. They now run a single workspace holding 63+ TB and 351,000+ assets, and their post-production manager reports 10 hours a week saved on asset retrieval by searching with AI instead of hunting through drives.

Unlimited seats on every plan make it realistic to give marketing, social, sales, and agency partners self-serve access rather than routing every request through the creative team.

Limitations

• Air isn’t built for broadcast-scale media operations. Teams that need bring-your-own storage buckets, complex transcode farms, or MAM-grade archive workflows should evaluate a dedicated MAM instead.

Pricing

Air uses a credit-based model where credits act as a single currency across storage, image editing, and video creation. Every plan includes unlimited seats, and all plans get the same 50+ AI models with no slower AI on lower tiers. 

The ladder runs Free, Starter, Business, and Enterprise. Check out Air’s pricing page for the latest details.

G2 rating: 4.6 out of 5

Best for

Brand, retail, media, and consumer marketing teams of 10–500 people producing high volumes of video and static creative. If you need one searchable library, timestamped video review, version control, and self-serve marketing access without an enterprise DAM implementation, Air fits.

Image source: Frame.io

Frame.io is a video review and collaboration tool, not necessarily a straight-up DAM. It's built for editors, producers, and post teams who need frame-accurate feedback inside the Adobe ecosystem.

Standout features

• The core is frame-accurate, time-coded commenting with drawing markup directly on the timeline. 

• Camera to Cloud ingests footage from set straight into review, and native Premiere Pro and After Effects panels keep editors in their edit. 

• Review link sharing, version comparison, and approval status round out the review cycle.

Strengths

Frame.io remains the reference standard for review cycles between editors and clients. For teams already standardized on Creative Cloud, the depth of the Adobe workflow integration is hard to match.

Limitations

• The core constraint is scope. It handles video and audio, so images, design files, decks, and brand assets still live somewhere else (here's how that trade-off plays out against Air). That leaves the split-stack problem intact. 

• It's also built around active projects rather than long-term library search, reuse, and brand governance.

Pricing

Frame.io publishes four tiers:

• Free covers 2 users, 2 GB, and 2 projects

• Pro is $15 per seat per month for 5 users and 2 TB

• Team is $25 per seat per month for 15 users and 3 TB

• Enterprise is custom-priced with SSO and a security review

Storage scales per seat, so large libraries push costs up.

G2 rating: 4.5 out of 5

Best for

Post-production teams, video agencies, and in-house video units whose primary need is review and approval on cuts inside an Adobe-centric pipeline.

Image source: iconik

Iconik is Backlight's cloud MAM, built for media operations teams managing very large video archives. It's one of the few MAM vendors that publishes tiered pricing at all.

Standout features

• Its hybrid storage architecture uses bring-your-own buckets and on-prem connectivity, so teams keep source media where it already lives while indexing it centrally. The model gives users access to local file storage and almost any online cloud storage, managed by an iconik storage gateway. 

• Proxy workflows, transcoding, and NLE integrations for Premiere Pro and Final Cut Pro support editorial work. 

• Metadata models, AI-assisted tagging, and speech-to-text handle large libraries.

Strengths

The scale advantage is the main point for iconik: petabyte-class archives, granular storage cost control, and workflows designed for broadcast and production. Iconik also shows up frequently as a category authority in AI overviews for video asset management queries, which reflects its standing in media operations circles.

Limitations

It's engineered for media operations, not brand marketing, so non-technical marketers usually find it heavier than they need. Some users note that the pricing structure can become complex as storage and user counts increase, making total cost harder to predict than a flat SaaS plan.

Pricing

Iconik uses role-based pricing plus usage credits. For example:

• Collaborator users are free

• Browse users cost $9 per month

• Standard users $65

• Power users $120. 

• Those role prices apply to the Starter plan; Professional and Enterprise tiers are custom-priced.

AI, automation, and transcription services consume credits on a pay-per-use basis. Cost is therefore driven by users, storage volume, and transcode and bandwidth usage.

G2 rating: 4.6 out of 5 (based on a small number of reviews)

Best for

Broadcasters, production companies, and sports or media organizations running video-first pipelines at archive scale with existing storage infrastructure to preserve.

Image source: Adobe

AEM Assets is Adobe's enterprise DAM, which they now call “an agentic DAM". It's typically bought as part of a broader Adobe Experience Cloud commitment rather than on its own.

Standout features

• Smart Tags and AI-assisted metadata speed organization. 

• Dynamic Media handles on-the-fly renditions and video delivery.

• Content Hub distributes approved assets to non-technical users. 

• AI-powered tagging automatically groups and classifies assets with brand-specific metadata.

• Governance runs deep with role-based permissions, usage rights and expiration handling, and audit trails.

Strengths

For large organizations already running Adobe end to end, creative production, DAM, and web delivery sit under one vendor. Enterprise security and admin controls also include SSO and detailed access logging.

Limitations

• A common limitation is the steep learning curve for new users, which can complicate initial setup and usage. 

Pricing

Pricing is quote-based and usually bundled with Experience Cloud. Ask about asset volume, user tiers, Dynamic Media bandwidth, and implementation partner fees during evaluation.

G2 rating: 4.2 out of 5

Best for

Large enterprises with dedicated DAM administrators, complex governance requirements, and an existing Adobe Experience Cloud investment.

Image source: Orange Logic

Orange Logic is an enterprise archival DAM that builds MAM-grade video tooling into the same platform. It mostly serves media organizations, museums, and global institutions with deep preservation needs.

Standout features

• Its highly configurable metadata schemas, controlled vocabularies, and taxonomy management suit large historical archives. 

• Rights and licensing management, usage tracking, and expiration enforcement handle compliance. 

• Branded portal publishing distributes collections to internal and external audiences.

Strengths

The strength is provenance, compliance, and rights-heavy environments where asset lineage must be documented. It also scales to multi-million-asset libraries with complex permission structures.

Limitations

• Configurability comes with implementation weight and administrative overhead that lean teams won't want. 

• MAM-grade video tooling is scoped and priced at enterprise level, so confirm exactly what's included in your contract.

Pricing

Pricing is quote-only and enterprise-tiered. Clarify asset volume, number of portals, modules, and storage before comparing.

G2 rating: 4.4 out of 5

Best for

Media companies, cultural institutions, and global enterprises whose primary requirement is long-term archival integrity and rights management.

Image source: Canto

Canto is an established mainstream DAM aimed at marketing teams that need centralized storage, search, and sharing, but its video handling is functional rather than advanced.

Standout features

• Canto offers AI tagging, facial recognition, and keyword search across mixed media libraries. 

• Video preview and playback, basic annotation, and portal-based sharing with download permissions cover distribution. 

• It integrates with Creative Cloud, Slack, and common martech and CMS tools.

Strengths

For teams making their first move off cloud storage, the familiar folder-and-portal structure means a shorter learning curve. Its sharing and brand portal features are mature for distributing assets to partners.

Limitations

• Video tooling is lighter than the video-first platforms here; transcription and basic edits exist, but teams with heavy captioning and timeline-review workflows often supplement it.

• Setup is the slow part, and getting the metadata and tagging structure right takes patience, especially for first-time DAM users. 

Pricing

Pricing is quote-based and scales with team size and storage needs.

G2 rating: 4.4 out of 5

Best for

Mid-sized marketing teams whose libraries are mostly images and documents, with video as a secondary media type.

Image source: Focal

Focal is an "AI Performance DAM" built narrowly for performance marketing teams running creative on Meta, TikTok, and YouTube.

Standout features

• Focal connects the creative library to ad performance data, so teams can see which video and static variants actually earned results. 

• AI tagging is oriented around creative attributes and variant tracking across ad platforms, with workflows for organizing high-volume paid social iterations.

Strengths

• For paid teams, the value is creative reporting tied to the assets themselves.

• Published pricing and unlimited seats are unusual transparency in this category.

Limitations

• It's built for paid social creative, not a full brand library covering brand assets, design files, and long-form video. 

• Review, approval, and governance workflows for broader creative operations aren't deep.

Pricing

Focal publishes EUR tiers from €299 to €799 per month with unlimited seats, plus a quote-based enterprise plan.

G2 rating: 4.7 out of 5 (based on a small number of reviews)

Best for

Performance marketing and growth teams whose main asset problem is organizing and analyzing paid social creative.

Choosing the best video asset management software comes down to a handful of criteria that separate a real rich-media platform from repackaged storage. Each item on this checklist maps to a daily friction point, so weigh them against how your team actually works.

• In-browser playback with proxy generation so reviewers never download 4K files just to leave a note.

• Transcripts and captions so video is searchable by spoken word, not just file name.

• Timestamped and time-range commenting so feedback stays on the asset instead of scattering into Slack and email.

• Version control that surfaces the current approved cut by default, ending the "final_v3" guessing game.

• Hybrid search combining AI tags with human-approved metadata.

• Permissions, expiration dates, and secure sharing for brand-safe distribution.

• Integrations with the tools already in use: Premiere Pro, Figma, Slack, your CMS, and cloud storage.

• Pricing that doesn't penalize self-serve access, so giving marketing entry doesn't blow the budget.

A consistent metadata framework does most of the heavy lifting once you've picked a tool. For rich media, tag every asset with campaign, channel, product, region, usage rights, approval status, talent, date, and asset type. AI tagging alone won't cover it, because approval status and usage rights are human decisions that a model can't infer from pixels.

Air is built for exactly this profile: strong video handling plus everything else in one searchable library, with unlimited seats so the whole team can use it. You can start a free Air workspace and test it against your own footage today.

What is the best DAM for video and rich media?

For most brand and marketing teams, Air is the best DAM for video and rich media. It pairs deep video intelligence, including transcription, Smart Chapters, and timestamped review, with a full library of images, design files, and docs. Teams running broadcast-scale pipelines are better served by a MAM like iconik, and pure post-production review points to Frame.io.

What's the difference between a DAM and a MAM?

A DAM manages every media type, including video, images, design files, and documents, with search, approvals, and reuse across channels. A MAM is engineered for large-scale video operations with heavy proxy, transcode, and bring-your-own-storage needs, which is more than most marketing teams require.

Can a DAM handle video review and approval?

Yes. A capable DAM like Air supports timestamped and time-range comments on the video timeline, transcript editing, and version stacking. Review and approval happen on the asset itself rather than in scattered emails.

When should a team move off Google Drive or Dropbox for video assets?

Move when you can't preview video without downloading it, can't search by spoken word, and can't tell which cut is approved from the file name alone. Once terabyte libraries start slowing machines and "can you send me the latest?" becomes a daily message, generic storage has stopped keeping up.