BranditScan
Best for: Face matching on the entry plan. "Facial Recognition & AI Detection" is listed on the $69 Premium tier rather than a top tier, and the whole product is positioned on it: "Your Face. Your Brand. AI Protected."
Pricing reality: Premium: $69/mo for 3 stagenames. Premium (annual): $690/yr for 3 stagenames. White Glove: $149/mo for Unlimited stagenames. White Glove (annual): $1490/yr for Unlimited stagenames.
What it does better: Three stage names are included in the $69/mo entry plan, where a per-username competitor would charge for each.
What makes people leave: On image matching specifically: the feature is named but the method behind it is not described, so what "AI Detection" matches on is unverified. branditscan.com on BranditScan
Verdict: Publishes the capability. Ask what it matches on before you buy it.
Rulta
Best for: Reverse image search, gated at $324. "Reverse Image Search" is a named feature of the Legend tier only. A creator on Pro at $139 or Premier at $184 has no published image-matching route at all.
Pricing reality: Pro: $139/mo for 1 username. Premier: $184/mo for 2 usernames. Legend: $324/mo for 4 usernames.
What it does better: Rulta states it is "Google's Trusted Copyright Partner" and cites Google's public Transparency Report for a claimed 200,000,000+ links reported.
What makes people leave: On image matching specifically: it exists only on the $324 tier, so the two cheaper plans have no published image-matching route at all. rulta.com on Rulta
Verdict: Publishes the capability. Ask what it matches on before you buy it.
Bruqi
Best for: Nothing published about image matching. The pricing page names scan frequency and surfaces, including impersonators from Creator Pro, but no face or image matching at any tier.
Pricing reality: DIY: $0/mo for Manual removals only. Side Hustle: $29/mo for All usernames. Creator Pro: $99/mo for All usernames. Top 1%: $249/mo for All usernames.
What it does better: Every paid tier covers all usernames at one price, starting at $29/mo — the flattest pricing model of the five competitors compared here.
What makes people leave: On image matching specifically: nothing is published on the pages checked here, so any capability you are told about verbally is not something you can hold them to. bruqi.com on Bruqi
Verdict: Get the answer in writing before paying for image matching.
Ceartas
Best for: Nothing published about image matching. The pricing page publishes tiers and manual-request caps and names no detection method, so there is nothing to compare. Ask before buying on this.
Pricing reality: Star: $69/mo for 1 creator. Elite: $169/mo for 1 creator. VIP: $349/mo for 1 creator. Platinum: $1200/mo for 1 creator.
What it does better: A published price ladder that reaches genuinely high-touch service, which most of the category does not publish at all.
What makes people leave: On image matching specifically: nothing is published on the pages checked here, so any capability you are told about verbally is not something you can hold them to. ceartas.io on Ceartas
Verdict: Get the answer in writing before paying for image matching.
Privly
Best for: "All content", with no method published. The flat $49 plan states all platforms and all content and allows up to three uploads on the trial, which implies image input without describing what is done with it.
Pricing reality: Free Trial: $0/mo for 7 days, 1 scan, up to 3 uploads. Creator Protection: $49/mo for All platforms, all content. Platform Offboarding: $499 one-time for Concierge, 12 months of cover. Copyright Registration: $299 one-time for Optional add-on.
What it does better: The flattest published price in this comparison for a full-service plan: $49/mo, in Privly's words "Same plan, every feature, no per-username surcharge, no hidden tiers".
What makes people leave: On image matching specifically: nothing is published on the pages checked here, so any capability you are told about verbally is not something you can hold them to. useprivly.com on Privly
Verdict: Get the answer in writing before paying for image matching.
The objections worth taking seriously
- Do I have to upload my leaked content to your servers?
- No. A openDMCA scan takes a username, not a file. Reference images are optional and only used if you choose face or image matching, and the privacy policy states plainly what is stored and for how long. What openDMCA stores, and what it never asks you for
- Will filing put my legal name in front of the people who leaked me?
- A valid notice has to identify a complainant, and openDMCA is the named agent on it rather than your home address. Nothing about your identity handling is left to a promise — the security page describes what openDMCA stores about you and where it goes. How openDMCA handles creator identity and account data
- Will it file notices against my own pages or my collab partners?
- Your own domains are excluded in openDMCA before a notice is generated, not apologised for afterwards. Whitelisting runs at scan time, so an authorised URL never reaches the takedown queue at all — which is the difference between a filter and a support ticket. How openDMCA separates your official pages from the leaks
Run the free searches first — they decide whether this is worth paying for
Reverse image search for creators is the one capability in this comparison where you can find out whether you need it before spending anything, in about ten minutes.
Take one photo you have published publicly. Not a paid set — a promo image, a profile picture, something already on the open web. Run it through the major reverse image engines. Google Lens and TinEye both accept an upload or a URL, and Yandex's image search is often better on adult content than either.
Count what comes back that you have never seen. If the answer is nothing, image matching is not your problem and you should buy on price and routing instead. If it is a list of sites that never use your stage name, you have just found the category of leak a username scanner will never show you, and this capability is worth paying for.
Then check whether those sites are reachable. Paste one of them into the free host lookup and then the abuse contact lookup. Finding an image is only useful if there is a route to remove it, and some of what image search surfaces has no removal route at all.
What to ask any vendor before buying on this. What does it match on — a face, a perceptual hash of a specific image, or an embedding? Do you have to supply reference images, and how many? What happens to those images afterwards, and how long are they kept? A service selling face matching that will not answer the third question is asking for something it has not explained.
For what openDMCA does here specifically, and where it stops: the content-protection comparison.
What openDMCA matches on, said narrowly enough to be checkable
openDMCA runs reverse image search and computes perceptual hashes of reference images you choose to provide. Both are optional and neither is required to run a scan, which takes a username and nothing else.
The important limit: perceptual hashing compares against images you have given it. It finds re-uploads and re-encodes of a specific picture very well, including crops and compression, and it does not find a photograph of you that openDMCA has never seen. If your requirement is recognising your face in material you never supplied, that is a different capability from the one openDMCA has, and BranditScan is the service in this comparison that names it.
What openDMCA does with a match is the same as with any other leak. openDMCA routes every infringing URL through the Removal Graph — a live map of which hosts actually remove content, how fast, and through which channel — so each takedown takes the shortest path that has historically worked for that host. A site found by image match on a host with a 90-day removal rate below 25%, across at least five resolved samples, skips the email rounds and goes to search de-listing, because that is what the record says works for it.
The whitelist matters more here than anywhere else. Image matching is the technique most likely to surface a site that is legitimately using your images — a network you promote through, a studio you shot for, a platform you licensed to. Load those domains before you turn image matching on, not after the first notice goes to a partner.
The estimate below assumes 85 live copies found by image match rather than by name, which is the sort of count a first reverse search turns up for a creator who has been posting publicly for a year.