Case Study: INKR achieves faster comic localization and lower operating costs with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the INKR Case Study

INKR Bridging the gap between comic fans and creators with BigQuery and Vision AI

INKR, a digital comic platform based in Singapore, wanted to make comics more universally accessible by localizing content for readers around the world. As its user base grew, the company needed a scalable, cost-effective way to collect and analyze data, improve recommendations, and speed up its manual localization workflow. INKR turned to Google Cloud Platform, using services like BigQuery, Compute Engine, Looker Studio, and Vision AI to support these goals.

With Google Cloud Platform, INKR centralized its data in BigQuery, automated reporting with Looker Studio, and used Compute Engine to train recommendation models faster and at lower cost. It also used Vision AI to automate image analysis and text transcription for localization, reducing manual work and improving publishing speed. The results were significant: model training time dropped from several hours to less than one hour, time to production improved from one week to one day, and training costs fell by 60%.


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INKR

Vu Hoang

Head of Data and AI


Google Cloud Platform

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