FranceTechnology and telecom2025 – ongoing

Wedia Group

Automated image metadata and multilingual captions in a digital asset management platform

Wedia cut image metadata generation time by 90% by building Claude into its asset management platform

WorkingVendor case studyVendor ↗

Problem

Wedia's enterprise clients produce large volumes of images, and manual tagging was slow and inconsistent. Wedia needed detailed metadata at scale, support for many languages and strong data privacy.

Approach

Wedia built Claude, accessed through Amazon Bedrock, into its digital asset management platform. Users generate captions, object detection and scene descriptions with one click. For automotive clients the analysis picks up details such as model, color and positioning. Claude also translates captions and metadata into more than 20 languages.

Results

90%reduction in metadata generation timeVendor case study[1]

2 weekstime to complete work that previously took 6 months of manual effortVendor case study[1]

70%improvement in clients' ability to quickly find relevant images, as reported by clientsVendor case study[1]

Takeaway

Loading a backlog of old images was the biggest gain. Wedia can now process 20,000-30,000 new client images a month.

Sources

Wedia Group advances digital asset management with Claude
Anthropic13 Oct 2025Vendor publication

Source summaries

[1]Anthropic13 Oct 2025

Anthropic's customer story describes how Wedia Group added Claude image analysis and translation to its digital asset management platform. It reports a 90% cut in metadata generation time, a backlog job shrinking from 6 months to 2 weeks, and a client-reported 70% improvement in finding images. The page carries no date; the Internet Archive first saved it on October 13, 2025.

Full details are in the original sources.

Added 4 Nov 2026 · Updated 4 Nov 2026