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Read blog posttrend.at is the voice of Austrian business — and its imagery must reflect that authority. Fairu manages executive portraits, infographics, event photos, and editorial illustrations with the same precision that trend.at applies to its journalism.

A business magazine demands professionalism in every detail — including how images are managed, delivered, and licensed. trend.at trusts Fairu to maintain that standard.
Business content mixes executive portraits, stock photography, charts, infographics, and event photos — each with different rights, sources, and quality requirements. Keeping everything organized and compliant is complex.
Fairu provides a single source of truth for all visual assets. Each image carries its copyright holder, license type, and usage terms. The API integration feeds images directly into the editorial workflow.
trend.at publishes with confidence — every image is properly licensed, professionally delivered, and instantly accessible. The editorial team saves hours per week on image management.
Store and deliver complex infographics and charts at full resolution. Fairu preserves fine details and text legibility across all screen sizes.
Maintain a searchable archive of executive portraits with metadata, usage rights, and version history. Always find the latest approved headshot.
Connect Fairu to your editorial system via REST or GraphQL API. Editors access the full image library without leaving their workflow.
Business readers expect instant load times. Fairu's File Proxy delivers optimized images via CDN — crisp, fast, and professional on every device.
Track licenses for stock photos, agency content, and commissioned work. Automated File Blocking prevents expired-rights images from being published.
Resize, crop, and reformat images dynamically for different article layouts — no need to maintain multiple versions of the same asset.
Discover how other leading publishers rely on Fairu for their image management.
See how Fairu helps business publishers like trend.at deliver professional imagery at scale.