Generate localized product titles and attribute tags in multiple languages with multilingual tagging powered by AI image tagging and catalog automation. From one product photo, create region-ready copy that follows localized SEO rules and marketplace standards. Titles, meta descriptions, and tags are consistent, human-readable, and optimized for regional catalogs. Improve crawlability, on-site discovery, and conversion without manual translation.
Manual translation of product titles and attribute tags is slow, inconsistent, and costly. Teams struggle to maintain localized SEO, adhere to marketplace limits, and map attributes to each region’s taxonomy. Thin or duplicated metadata hurts crawlability and search relevance across regional catalogs. The result: poor discovery, missed long-tail keywords, and delayed cross-border launches.
Shuru’s AI Image Tagging & Catalog Automation detects visual attributes (color, pattern, material, silhouette) and generates multilingual titles and attribute tags using locale-aware language models and translation memory. Taxonomy mapping aligns outputs to each market’s category tree and banned-term/length rules. Built-in QA enforces brand voice, diacritics, transliteration, and schema markup suggestions (Product, Offer, ImageObject).
AI Image Tagging & Catalog Automation
Auto-tag products, standardize attributes, and structure catalogs at scale.
Increase organic traffic with localized SEO titles and attribute tags tailored to each market.
Accelerate time-to-publish by automating multilingual tagging across regional catalogs.
Reduce translation and copywriting cost while improving consistency and brand voice.
Improve marketplace compliance with length limits, banned terms, and taxonomy alignment.
Boost on-site discovery and filter accuracy via clean, structured attribute tagging.
Enhance eligibility for rich results using schema markup suggestions and clean metadata.
Partner with us to design, prototype, and deploy.
