A major Basque newspaper needed to transform the management of its photo archive, which handled a large volume of images annually. The manual cataloging process was slow, inconsistent, and made it difficult to quickly locate specific content for its daily publications.
Their main needs were:
- Fully automate the process of image input and classification.
- Generate accurate and objective metadata automatically.
- Optimize the search and retrieval of visual content.
- Ensure the security and traceability of the file.
- Streamline journalistic work by automating suggestions for images relevant to each article in progress.
We have implemented an intelligent AI-based ECM system, in SaaS mode, which functions as an image cataloguer and writing assistant.
The solution includes:
- Massive file upload via ZIP or SFTP.
- Automatic AI processing to generate titles, descriptions, tags, and metadata (location, date, image type, people, action, etc.).
- Suggesting images related to the articles that journalists are writing, acting as an editorial support agent.
- Evolving model, with the possibility of adding images and scaling up the volume year on year.
We transformed the newspaper's photo archive management using an intelligent ECM system that automates the cataloging of a large volume of images annually with AI and acts as an editorial assistant, suggesting the most appropriate images for each article to journalists.
- Complete automation of the visual cataloging cycle, from capture to query.
- Direct assistance to journalists in assigning images, improving speed and editorial consistency.
- Reduction in manual effort, cataloging errors, and image location time.
- Improving the quality and consistency of metadata
- Significant improvement in image recovery times.
- SaaS adaptable to media and entities with extensive visual archives.
Anual images
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