Cloudinary has unveiled a set of significant new features designed to help brands safely scale their visual content while protecting authenticity and trust. At the heart of the update are two major advancements: Refiners, which enable touch-up of AI-edited images for seamless production workflows, and C2PA (Coalition for Content Provenance and Authenticity) support, which attaches verifiable records of every image transformation. Together, these tools position Cloudinary as both a performance driver and an authenticity guardian in the fast-evolving world of GenAI-driven visual content.
The Refiners close a critical production gap by handling background removal, background replacement, outpainting, and intelligent cropping based on focal points. Traditionally, AI-modified images often required painstaking human oversight to clean up inconsistencies before reaching production readiness. Cloudinary’s refinements now let developers automate these complex edits at scale, while creative teams retain control to review and adjust. This creates a bridge between automation and brand-quality standards, ensuring that output is free of the “AI slop” that has undermined trust in some GenAI imagery.
In parallel, C2PA support addresses a growing problem: how to ensure that images—especially AI-generated ones—remain trustworthy and verifiable in a media ecosystem increasingly plagued by misinformation. By embedding edit provenance at every transformation step, Cloudinary enables developers and content teams to preserve authenticity without compromising speed. Importantly, this provenance can be surfaced flexibly, giving brands choice in how they present transparency to end users while safeguarding editorial integrity behind the scenes.
Beyond these trust and quality layers, Cloudinary has also rolled out a new Editor experience and an improved GenAI Model. The Editor empowers both developers and non-technical teams to prototype transformation chains, compare results in real time, and collaborate more effectively. Developers benefit from live code updates, while marketers and designers can use intuitive menus to guide experimentation. The Auto Enhance feature reduces the need for manual tuning, automatically applying the optimal mix of upscale, restore, and sharpen to produce consistent high-quality results.
The improved GenAI Model builds on Cloudinary’s domain-specific expertise, with refinements particularly geared to e-commerce use cases. By defaulting to cleaner and plainer backgrounds for product shots, the system accelerates workflows that previously required manual simplification. This makes it easier for online retailers to roll out brand-consistent imagery at massive scale, while reducing costs and cycle time.
Tal Lev-Ami, Cloudinary’s Co-founder and CTO, emphasized that the company’s mission remains to “make visual media work harder for brands by ensuring authenticity, consistency, quality and performance.” With these enhancements, Cloudinary is not just polishing its platform—it is pushing toward a new standard in how GenAI integrates into content supply chains. The company is effectively reshaping the production pipeline to be collaborative, trustworthy, and adaptive to the rapid pace of digital business.
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