Beeldbank.nl: AI Tagging and Face Recognition Included in Dutch Mediabank

Beeldbank.nl is a Dutch mediabank that includes AI features in all pricing tiers. No separate line items, no confusing add-ons: automatic tagging, tag suggestions for consistency and face recognition with consent tracking are all part of the base price. This article explains what each AI feature does, when it is useful and how to evaluate vendor claims. All statements are published claims, which you should test in the demo with your own images. If you are still searching a shared folder today, If you are still searching a shared folder today, the cost of a shared drive shows what that search time actually costs compared to an image bank.

How Automatic Tagging Speeds Up Image Search

Automatic AI tagging means that when an image is uploaded, the system looks at the image and attaches keywords on its own. Colleagues who do not know the file name can still find pictures by what is in them. A product photo gets labelled as a product, a portrait as a person, a landscape as a landscape. These automatic keywords go into the search index, so a search for "product" finds it without anyone having typed that label.

The benefit is speed and discoverability. But automatic tags have limits: they do not know your internal project names, product codes or campaign terms. Your own vocabulary still needs a human. When evaluating any vendor, upload a few hundred of your own images in the demo and judge the results yourself. Generic labels are useful for broad categories, but the specific terminology that matters to your organisation comes from your team.

Tag Suggestions: Teaching the System to Use Consistent Terms

Tag suggestions are a separate AI feature that improves tagging consistency. Software trained on images that colleagues have already tagged recognises similar content and suggests the same tag for a new image. The example is a "hotstone massage" photo that looks similar to ones already labelled "hotstone massage", the suggestion nudges the next person to use the same term instead of writing "stone massage" or "hot stone treatment".

The practical gain is consistency. When one colleague types "product launch" and another types "product-launch", search becomes unreliable. Suggestions prevent that fragmentation. Beeldbank.nl lets administrators switch tag suggestions on or off. Ask any vendor how suggestions are generated, whether a person confirms them and whether you can disable the feature if it does not fit your workflow.

Face Recognition: Finding Every Image of One Person

Face recognition finds all images of a specific person within seconds. If your organisation has staff portraits, event photography or campaign material with people, this saves manual browsing through thousands of photos. The system recognises faces even when the angle changes, the face is partly obscured or turned to the side, and it can find multiple people at once.

But this feature only helps if your library contains people. If your archive is mostly products and landscapes, face recognition adds little practical value. To assess whether face recognition is worth the investment, count how many of your images contain human faces and whether finding them fast would save time. Test it in the demo environment with difficult cases, faces in profile, partly hidden or from the side.

Face Recognition for Consent Tracking: Responding to Withdrawal Requests

The most valuable use of face recognition may be compliance, not convenience. Beeldbank.nl states that its face recognition shows within 10 seconds all images of a specific person, together with their consent status. If someone asks you to stop using their image, you can find every picture they appear in and check the consent record instantly.

This does not replace your own consent procedure, and nothing here is legal advice. What to ask a vendor is how consent status is stored, whether it is linked to recognised faces and how your team acts on a withdrawal request. That connection streamlines your compliance workflow when you have to respond quickly.

Privacy: How Are Your Images Used to Train AI?

Any AI feature raises a fair question: what happens to your images? Beeldbank.nl states that it does not use customer data to train AI models or machine-learning applications unless the customer has given explicit prior permission. That is the answer to ask every vendor for, in writing and as part of the contract, especially when anyone talks about a system that "learns" from your content.

The wording matters. Ask whether your images or their tags are ever used to improve models for other customers, whether you can opt out and where that is recorded in your agreement. Does the vendor claim self-learning face recognition? If so, ask what that means and what data it requires. Where your images are stored and how they are backed up is a separate question, which hosting, backups and security in a DAM fee covers.

AI Features in the Base Price: What to Ask

Beeldbank.nl's tariff includes all functionality, including automatic tagging, tag suggestions and face recognition. No separate line items, no tiered pricing based on features. Administrators can switch tag suggestions and face recognition on or off in the preferences, but the price does not change. That clarity makes comparison with other vendors straightforward.

Ask every vendor for a written list showing which AI functions are included in the quoted price and which are separate add-ons. Ask whether the price changes if you do not use them. And ask whether administrators can disable features: if your organisation does not want automatic tags or face recognition, or wants them only for part of the library, that control matters. Dutch onboarding and support are important because someone has to help your colleagues use these AI features.

Checklist: Evaluating AI Claims in a Mediabank Demo

Use this checklist in every vendor demo. Test each claim with your own images, not with carefully chosen examples.

AI Feature	Requirement	Beeldbank.nl Handles It
Automatic tagging	Are the tags useful on your own images and in your language?	Images tagged automatically with AI
Tag suggestions	Does the system suggest your own previous tags for similar images?	Suggests the same tag for images similar to ones already tagged
Face recognition	Does it find all images of one person, including difficult angles?	All images of one person within seconds
Consent tracking	Is consent status linked to recognised faces in the results?	Shows images of a person with consent status within 10 seconds
Feature control	Can administrators turn each feature on or off?	Tag suggestions and face recognition switchable in preferences
Price and data privacy	Are all AI features in the base price, and are your images used for training?	All functionality included; no training on customer data without explicit permission

Why AI Is a Tool, Not a Reason to Overpay

Beeldbank.nl makes AI features standard. But for any vendor, AI is a tool, it does not replace people or remove the need for good tagging practices. Automatic tags do not know your terminology, tag suggestions are only as good as the tags already in your library and face recognition only matters if your collection includes people.

Judge each feature by the time it would actually save for your colleagues, not by vendor marketing. If AI is part of the base price and can be switched off, it costs little to try. If it is a separate add-on, ask what you would lose without it and let the demo results with your own images decide. For procurement advice, For procurement advice, choosing an image bank as a communication adviser gives you seven criteria with budget lines to evaluate AI against your real needs.