Beeldbank.nl: The Dutch Image Bank for Bulk Upload and Metadata

Uploading a batch of photos to Beeldbank.nl looks straightforward: select a folder, wait, and then search. Behind that process sit several automatic steps that handle the technical work so your communication team can focus on describing what matters. This article walks through what happens when you upload a batch, based on Beeldbank.nl's documented features, and shows you what to test with your own files first.

How Beeldbank.nl Processes a Batch: Automatic and Manual Steps

The system offers bulk upload with automatic thumbnail generation, format conversion and metadata extraction. This means you do not have to prepare every photo individually before it is searchable, and you can import an entire folder instead of single files.

Processing speed depends on your batch size and file formats. Test with a realistic sample first, such as photos from your last event, and note how long it takes until everything is visible and filterable. This measured time on your own files is the one to plan with for larger imports.

Automatic Thumbnails: Previews for TIFF and HEIC Files

Every file in an image bank needs a preview so colleagues can see what a photo shows without opening it. Beeldbank.nl automatically creates a preview during upload for two important formats: TIFF files get a preview, and HEIC files (which often come from iPhones and Samsung devices) get a preview too.

This is valuable because browsers do not always display TIFF and HEIC files directly. The system handles this automatically so your team can browse any photo. TIFF and HEIC are well-supported, but if your archive contains unusual formats, upload a few test files of each type and check whether they appear with a preview before you import thousands of files.

For a full guide to which file types get previews, including video, see the article on which file types an image bank previews.

Metadata Extraction: Reading Information Built Into Files

Photos carry information about themselves embedded in the file, and Beeldbank.nl reads this during upload instead of requiring manual entry. This is metadata extraction. The system can read two important fields automatically: the year the photo was taken and the number of people in the image. Both are described in detail below.

The metadata extraction process works with common embedded information. Test with a sample of your own files, especially older scans and photos that were edited or exported elsewhere, because those often carry minimal metadata compared to recent camera files.

Automatic Year Recognition: Filter and Sort by When Photos Were Taken

The system automatically reads the year from your files so you can filter and sort by year. The year filter is not visible by default, it is activated under Instellingen > Voorkeuren > Filters by moving the field "jaartal" to the left column.

For a communication department managing an annual report, a campaign archive or a long series of events, a year filter is a quick way to find photos. Keep in mind that the year comes from what is embedded in the file. A photo without a usable date in its metadata cannot be filtered by year the system could not read, so examine a sample of your own batch before the full import.

Face Recognition: Count People in Each Photo

Beeldbank.nl automatically recognises how many people are in a photo, grouping them as: no persons, 1, 2, 3, or 4 or more. This allows you to filter on the number of people, and the feature works when face recognition is enabled in your system.

Counting people helps with practical requests: portrait work, pairs, group photos. Because it relies on face recognition, your organisation should decide collectively whether to enable this feature. Photos of recognisable people are personal data under the Dutch AVG (GDPR equivalent), and your privacy officer should be part of this decision before you activate face recognition.

Bulk Field Editing: Describe Many Photos at Once

Some information no camera can supply: campaign name, project, description, usage rights note. Beeldbank.nl lets you select a group of files (all of them, a range, or a few loose ones) and change their field information in one go.

The practical approach is to plan the order. Upload a batch that belongs together, such as one event or one project, then select all and fill in the shared fields. Mixed batches make it harder to select the right group. If you have not yet decided which fields to track, consider consulting the guide to photographer uploads without chaos, and write down your fields before the first large import.

The Workflow: Upload to Searchable Library

Put together, here is what happens when you upload. Your communication department uploads a folder. Previews are created automatically, including for TIFF and HEIC. Metadata extraction runs. The year filter is available once activated. The face count is available when face recognition is enabled. Afterwards your team selects a group of files and fills in the shared fields in one go using bulk editing.

These steps are documented separately, so test the full workflow once with a small batch before you plan a large import. Check whether every file type in your archive got a preview, whether the year and face count appear as filters, and whether bulk editing reaches the files you intended to change.

Processing: What Is Automatic and What Is Manual

Processing step	Who does it	What to check
Thumbnail generation	System, during upload	Does every file type in your archive get a preview?
Previews for TIFF and HEIC	System, automatically	Test your own files in these formats
Year from the file	System, after the filter is activated	Is the filter enabled in Voorkeuren?
Number of people	System, when face recognition is enabled	Has your organisation approved face recognition?
Campaign, project, description	Your team, in bulk after upload	Who fills in the fields, and when?

The table shows where the system automates and where your team takes over. For planning storage for a large archive, consult the guide on how many photos fit in 100 GB. For controlling how colleagues download and export, see the guide to download in the right format.

Why Automation Matters for Communication Teams

A communication department rarely has spare hours to type information into every photo. Beeldbank.nl automates the technical work: previews, format handling, reading the year and counting people. This leaves the descriptive work to your team, which is where human judgement adds real value. Your time goes to captions, usage rights and project assignments that only a colleague can make correctly.

For your first upload, test with a small realistic batch, activate the filters you want, decide on face recognition together with your privacy officer, and document who edits which fields after upload. Then you can confidently import the rest, with a record of the settings you chose so a new colleague can repeat the process later.