Cloudinary's AI Automates Video Production to Meet Surging Demand

SAN JOSE, CA – April 29, 2026 – As brands grapple with the immense challenge of scaling video production, Cloudinary today announced a significant AI-powered enhancement to MediaFlows, its no-code workflow automation platform. The new capabilities are designed to automate critical yet time-consuming post-production tasks, including subtitle generation, multi-language translation, and the creation of SEO-friendly metadata and navigation chapters. This move aims to transform video from a production bottleneck into a strategic asset, enabling companies to publish enriched, accessible, and highly discoverable content faster than ever before.

The Unrelenting Demand for Video Content

The strategic importance of Cloudinary's announcement is underscored by the overwhelming consumer appetite for video. Recent industry data reveals a seismic shift in content consumption, with video projected to account for a staggering 82% of all internet traffic. More than just a passive medium, video has become a primary tool for consumer research and purchasing decisions. Statistics from market research firm Wyzowl indicate that 63% of consumers prefer learning about products via video, and a remarkable 82% report that a brand’s video has directly convinced them to make a purchase.

This insatiable demand places immense pressure on marketing and content teams. While 91% of consumers want more video from brands, the operational realities of producing high-quality, localized, and accessible content at scale have been a persistent hurdle. Manual processes for subtitling, translating, and optimizing videos for search are notoriously slow and resource-intensive, creating a significant gap between consumer expectations and what most brands can realistically deliver. It is this operational gap that AI-driven automation now promises to close.

Automating the Assembly Line: From Manual Labor to AI Workflows

Historically, preparing a single video for global distribution involved a complex, multi-step process requiring specialized skills. Generating accurate subtitles, commissioning translations for multiple markets, writing descriptive metadata for search engines, and adding chapter points for long-form content could take days and involve significant costs. Cloudinary's MediaFlows for Video aims to collapse this timeline into minutes.

By integrating advanced AI into its no-code workflow builder, the platform now handles the heavy lifting automatically. The new capabilities include:

• Subtitle Generation and Translation: Using sophisticated Automatic Speech Recognition (ASR) and Neural Machine Translation (NMT), the system can transcribe a video's audio and then translate the resulting text into numerous languages. This automates the creation of localized viewing experiences that expand market reach without a proportional increase in manual effort.
• AI-Generated Video Metadata: The platform analyzes a video’s content and transcript to automatically generate optimized titles, descriptions, and metadata tags. This not only improves asset discoverability within internal Digital Asset Management (DAM) systems but critically enhances performance on external search engines.
• Automated Chapter Generation: For long-form content like product demos, webinars, and tutorials, the AI can identify logical breaks and topic shifts to automatically create chapter markers. This improves the playback experience by allowing viewers to navigate directly to the information they need.

While competitors like Adobe are integrating AI into creative tools and other DAM providers use it for asset tagging, Cloudinary’s focus on a no-code, end-to-end publishing workflow sets it apart. The platform empowers non-technical users to design and deploy complex automation sequences, democratizing a process once reserved for specialized production teams.

Unlocking Global Reach and Digital Inclusion

The impact of these automated features extends far beyond simple efficiency. By making subtitle generation and translation a standard, automated step, brands can more easily meet digital accessibility standards, such as the Web Content Accessibility Guidelines (WCAG). This ensures that video content is inclusive for the deaf and hard-of-hearing community. Furthermore, with data showing that the vast majority of mobile videos are watched with the sound off, subtitles have become essential for engagement with all audiences.

Automated translation tackles another significant barrier, allowing brands to speak to customers in their native language. This is not just a courtesy but a commercial imperative, as it dramatically increases content resonance and effectiveness in international markets. The ability to deploy a single video asset across dozens of locales simultaneously, fully subtitled and accessible, represents a significant competitive advantage for global brands in e-commerce, media, and technology.

Winning the Search Game in the Age of AI

Perhaps the most forward-looking aspect of this technology is its impact on discoverability. The AI-generated metadata and full-text transcripts do more than just improve traditional video SEO. They prepare content for the next generation of search, often called 'agentic search,' which is powered by Large Language Models (LLMs) like those behind Google’s AI Overviews.

These AI search agents consume and synthesize information from across the web to provide direct answers to user queries. Videos that are essentially 'black boxes' with minimal text data are invisible to these systems. By creating a rich, machine-readable transcript and detailed metadata, Cloudinary’s automation ensures that the valuable information within a video is fully indexed and understood by LLMs. This makes the content more likely to be surfaced in AI-generated summaries and answers, securing brand visibility in an evolving search landscape.

“Every brand knows that video matters. It helps boost everything from conversions to engagement to trust. The brands that win are the ones that successfully operationalize it,” said Tali Rosman, Managing Director, Video at Cloudinary. “MediaFlows helps teams automate essential work that usually slows video down - localization, metadata, and navigation. It turns scale and complexity from being production bottlenecks into competitive strengths.”