# What video asset management tools does your team actually need? > Most teams need fewer tools than the vendor roundups suggest. Every team needs shared storage and a naming convention that people follow. Canonical URL: https://vivu.ai/guide/what-video-asset-management-tools-do-we-need-for Most teams need fewer tools than the vendor roundups suggest. Every team needs shared storage and a naming convention that people follow. Add a review tool when feedback on cuts is what slows you down. Add a MAM or DAM when someone needs to manage versions, rights and metadata. Add a search layer when the problem is that nobody can find a moment inside footage you already own. Choose based on the failure you keep running into. The category name won't tell you much. ## Start with the failure you keep seeing "Video asset management" covers at least four different jobs, and a tool built for one of them rarely fixes another. So before you compare products, write down the last few times something went wrong. These are the usual ones: - An editor can't find the final export, or two people are working from different versions. - Feedback on a cut lives in email threads and chat, and nobody knows which notes were addressed. - New staff or freelancers need to pull clips from thousands of files, and only one person knows where anything is. - You know the team filmed something years ago, maybe a customer explaining a problem or a wide shot of the office, but finding it means opening project after project. Each of these points to a different tool. When a team hits all four at once, it's usually because the library grew while the setup stayed the same as when there were fifty files. ## Shared storage and a folder convention This is the base layer: a cloud drive or a NAS, with folders by year, project and asset type, plus file names that say what the file is. It costs very little and it works as long as people follow the convention. It falls apart in two ways. Discipline slips when deadlines hit, and folders can only tell you which file to open. They can't tell you what happens inside it. Remote editors working from shared storage end up downloading whole projects just to check one interview. ## Review and approval tools These tools hold cuts in progress. You upload a version, reviewers leave timecoded comments, and the tool keeps track of which version is current. If your bottleneck is getting sign-off, this is what you need. A review tool won't help you catalog raw footage, though, and once a project ships its files usually just sit there. ## A MAM or DAM A media or digital asset management system is a catalog. It holds proxies, metadata, permissions, usage rights and version history, and someone keeps it maintained. It's the right choice when you need control: who can use which logo, which cut is approved for which region, where the master is. Expect real cost in setup, migration and admin time. Its search is only as good as the metadata people enter, and automatic tags tend to produce generic labels like "person" or "outdoor" rather than the moment you're after. If you're deciding between the two, [the line between a DAM and a MAM](https://vivu.ai/guide/what-is-the-difference-between-a-dam-and-a-mam) matters more than any feature list. ## A search layer over the footage itself This route takes a different shape. You upload footage into a search tool, it gets indexed once, and after that you can ask for what's on screen or what was said. You get back stretches of video you can open, rather than a list of file names. The costs are the upload itself, usage that scales with how much you search, and the time it takes someone to check the results. The limits matter too. A search layer doesn't store your masters, track rights or collect feedback, and it can only search what you've put into it. For a marketing team, this layer mostly pays off before a shoot. Once the webinars and customer interviews are in one [Vivu](https://vivu.ai/solutions/marketing) project, a writer can ask for "a customer describing the spreadsheet they used before" and open the matching segments to check them before anyone books a crew. The segments they keep can be exported as original clips for whoever is editing. Making that check a routine step is covered in [checking for existing footage before a reshoot](https://vivu.ai/guide/how-to-check-if-we-already-have-footage-before). ## When you don't need any of this If one person shoots and edits everything, publishes a few videos a month and still remembers where things are, a dedicated tool adds overhead without fixing anything. A folder convention and a short text log per shoot (who's on camera, what they talked about, which shots came out well) will hold up for a long time. The point to reconsider is when a second editor joins, or when someone other than the original shooter needs to find things without asking. ## How to tell which side you're on Look back at the misses you wrote down at the start. If they're about versions and approvals, get a review tool. If they're about control and rights, you need a catalog that someone maintains. If they're "we know we filmed it but can't find it," your files are probably fine and what's missing is a way to search inside them. Most teams find one of these answers clearly outweighs the others, and that's the tool to buy first. ## FAQ ### Do we need a MAM if we already have a shared drive? Only if you need control the drive can't give you, like usage rights, approved versions, or permissions per region or partner. A shared drive with a strict folder convention is enough for many small teams. A MAM earns its admin cost when several people publish from the same library and a mistake has consequences, such as an expired license or the wrong logo. ### Can AI auto-tagging replace manual logging? Partly. Automatic tags are good at broad labels such as objects, settings and on-screen text, and they're cheaper than having a person log everything. They're weak at the specific moments teams actually search for, like a particular customer making a particular point. Most teams that rely on auto-tags still add human notes for the footage they reuse most. ### Should we organize old footage before choosing a tool? Clean up just enough to know what you have and where it lives. Re-tagging an entire archive by hand before you choose a system usually means doing the work twice, because every tool structures metadata its own way. Pick the tool for your most frequent failure, then move the footage people actually reuse first. ### Does a video search tool replace a DAM? No. A search tool finds moments inside footage you've uploaded to it. A DAM stores approved assets, tracks rights and controls who can use what. Teams with a lot of footage often run both: the DAM for finished, approved files, and search for raw footage and recordings that nobody ever logged properly.