ResourceSpace’s AI productivity tools transform Digital Asset Management - automating metadata tagging and processing and powering advanced asset search and facial recognition

  • Set plain English prompts, per metadata field, and have AI generate the metadata value you need
  • Facial recognition automatically identifies and tags people in digital assets and learns from existing tagged faces
  • Carry out natural language searches, reverse image searches and find visually similar resources quickly and easily

We were the first Digital Asset Management system to integrate with OpenAI and now AI is at the heart of ResourceSpace.

AI in Digital Asset Management is no longer a nice-to-have. It’s essential for DAM Managers in order to maximise efficiency and streamline content discovery. Organisations across every sector are benefiting from our state-of-the-art metadata generation, search functionality and facial recognition.

AI automated tagging

Comprehensive metadata tagging is at the heart of Digital Asset Management, but it can take DAM Managers a lot of time to apply all the relevant tags to an asset.

Automated metadata generation revolutionises this. Our AI metadata generation functionality can handle complex instructions specific to your organisation. Keywords, captions and descriptions are second nature but more sophisticated outputs like alt text, translations, the number of people present and emotions are also handled effortlessly. You can even tag a 'Team' field based on the uniform being worn by people in the image!

The GPT integration has the potential to revolutionise metadata input and save you a huge amount of time and effort.

Benefits at a glance:

  • Save hours of time and effort spent manually tagging assets
  • Complex information processing - populate a field based on the image or the content of another field
  • Automatically generate the metadata you need

AI-powered digital asset discovery

Metadata-based search has always been the difference between DAM systems and traditional file storage solutions, but our AI powered search is taking that to the next level.

With our CLIP AI Smart Search, you can carry out natural language searches irrespective of metadata. Phrases like ‘A classic car in red’ or ‘A woman smiling on a beach’ will return matching resources even if there’s no matching metadata. 

The plugin also allows you to carry out a reverse image search and find images that are similar to the one you're looking at. 

Benefits at a glance:

  • No need to rely exclusively on metadata tags to find relevant assets
  • Discover visually similar assets based on a single asset
  • No data processing by any third party - so no privacy concerns

Advanced facial recognition and detection

ResourceSpace’s AI Faces plugin integrates advanced facial similarity functionality using InsightFace, a high-performance open-source framework for face detection, recognition, and analysis.

ResourceSpace's DAM AI facial recognition functionality in action.

This plugin will automatically detect faces in images and tag an assigned field, allowing ResourceSpace users to locate matching faces across the entire DAM almost instantly.

Benefits at a glance:

  • Powerful and accurate facial recognition and search functionality
  • Easy to use and deploy within your DAM instance
  • No data processing by any third party - so no privacy concerns

Edit images within ResourceSpace 

Quickly and easily edit your digital assets directly within ResourceSpace, without the need for a designer or expensive software.

This advanced functionality will save DAM Managers, Marketing Managers and other ResourceSpace users hours that were previously spent briefing designers, waiting on finished assets, or trying to make relatively simple edits to images without the required design skills.

Benefits at a glance:

  • Saves DAM users hours previously spent briefing Designers
  • Quickly create variations of digital assets based on different use cases
  • Incredibly easy to use—no design skills required

Automated transcription and subtitling of audio and video files

Our transcription functionality allows video and audio files to be transcribed effortlessley. The transcript can be populated into a designated metadata field, improving the searchability of these assets, and attached as a .txt or subtitle file to the resource record. 

Benefits at a glance:

  • No time wasted transcribing audio and video files manually
  • Automatically add subtitles to your video files quickly and easily
  • No data processing by any third party - so no privacy concerns

Find out more about how ResourceSpace leverages DAM AI:
Exploring the ResourceSpace-OpenAI integration.

AI & DAM FAQs

The most commonly asked questions about our DAM AI functionality.

More FAQs  

How is AI used in Digital Asset Management?

The use of artificial intelligence and large language models in Digital Asset Management has been growing rapidly. In ResourceSpace, we use AI for streamlining metadata tagging and processing, image and facial recognition, as well as image editing and speech to text transcription.

Our implementation of AI technology is constantly evolving and we’re frequently adapting and adding new functionality, so keep an eye on our roadmap and blog for the latest updates.

What are the benefits of AI in DAM systems?

From automated metadata tagging through to streamlined asset discovery, AI is taking a lot of arduous, time-consuming tasks off the plates of DAM Managers in every sector.

Does ResourceSpace’s AI functionality come at an additional cost?

No. Our GPT integration and various AI-powered plugins are available with all of our pricing plans, and they're easy to install and use.

  

ResourceSpace has changed the way the DEC uses content, making it much easier for us to quickly make assets available both internally and externally during our emergency appeals.

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Barney Guiton
Content Manager, Disasters Emergency Committee
  

The ResourceSpace team has been exceptionally good at support services. They make everything so convenient and efficient with the cutting edge technology. Kudos to the team.

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Neelkant Pandhare
Senior Associate, Rainforest Alliance
  

The team at ResourceSpace have been a joy to work with, helping us manage what could've been a really difficult transition every step of the way.

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Tom Flynn
Picture Editor, Unicef
  

We've been really happy with the system - we couldn't be happier. It's user friendly, and everybody loves it.

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Kendrin Geerdes
Senior Graphics Manager, TOMY
  

The ability to batch upload is a great feature which I use often and encourage colleagues to use.

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Lyndsay Muotoh
Marketing Resources Officer, MS Society
  

The set-up service was particularly impressive and very efficient. I wouldn't hesitate to recommend it to other organisations.

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Rachel Harrison
Web Officer, St John's College, Oxford University