70% Faster Content Moderation Through Automated Media Curation
We partnered with a global visual media leader managing more than 700 million images, vectors, illustrations, and video assets. By automating content tagging, image descriptions, quality checks, and accessibility validation, we reduced manual effort, accelerated moderation, and improved content discoverability at scale.
Success Highlights
- 70% reduction in content moderation time
- 50% reduction in manual effort
- 30% increase in organic traffic
Key Details
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Industry: Media & Entertainment
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Geography: United States
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Platform: Enterprise Visual Media Content Platform
Business Challenge
The client needed to curate and maintain a rapidly expanding content library while preserving metadata quality, accessibility, and search visibility.
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Content Tagging Complexity: Accurately categorizing large volumes of visual content required significant manual effort and consistent quality controls.
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Inconsistent Content Quality: Maintaining relevant, accurate, and standardized metadata across millions of assets was difficult to scale.
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Process Inefficiency: Manual curation and moderation workflows slowed content publishing and increased operational cost.
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Operational Overhead: Critical bug fixes and maintenance consumed engineering resources that could have been directed toward innovation.
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Accessibility Compliance: The platform needed reliable processes to ensure content descriptions and presentation met accessibility requirements.
Our Solution Approach
We implemented an automated content curation framework to improve metadata quality, moderation speed, accessibility, and search performance.
Identify Curation & Quality Gaps
Reviewed tagging, moderation, metadata, and accessibility workflows to identify repetitive tasks and quality inconsistencies.
Standardize Content Classification
Established consistent categorization and metadata rules to improve content organization and search relevance.
Generate Tags, Descriptions & Quality Checks
Implemented automated tagging, text-description generation, and quality validation to reduce manual review effort.
Improve Accessibility & Discoverability
Embedded accessibility checks and metadata optimization to expand audience reach and improve organic search visibility.
Technical Highlights
- Automated content-tagging workflows for images, illustrations, vectors, and video assets
- Metadata classification rules for consistent categorization across large content libraries
- Automated image-description generation to support accessibility and search indexing
- Quality-validation logic for detecting incomplete, inconsistent, or low-quality metadata
- Accessibility compliance checks integrated into the content publishing workflow
- Batch-processing support for high-volume moderation and curation operations
asset = ingest_media(file)
tags = generate_tags(asset)
description = create_alt_text(asset)
if validate_quality(tags, description):
publish(asset, tags, description)
else:
send_for_review(asset)
Business Outcomes
Transformed manual curation into a scalable automation-led workflow that improved moderation speed, search visibility, and accessibility.
Automated tagging and quality checks significantly reduced the time required to review and publish visual assets.
Automation replaced repetitive categorization and description tasks, lowering operational workload and cost.
Improved metadata and content descriptions strengthened discoverability across search channels.
- 15% broader audience reach through accessibility compliance
- More consistent tagging and metadata quality across the content library
- Faster publication of contributor-submitted assets
- Reduced moderation bottlenecks at high content volumes
- Improved content relevance and user experience