Every month, up to 1,000 files flow into the computing center from users across the institution. Taking the amount and resource allocation into account, the team expected the solution to work with very little human involvement. Meanwhile, those files, according to the center’s analysts, are mostly project files and documents that contain personal information, and they usually come with numerous images due to the prevalence of diagrams, charts and figures in scholarly research. It is therefore important to control the size as well as make it a hands-free, automated process.
By using Gaaiho PDF Server, image compression is scalable, meaning users can decide the output file size before the conversion takes place. For system administrators, Server’s ability to handle volumes of documents on its own makes their life easier because they are now able to focus on other tasks and come back only once in a while to check for potential errors. What’s more, Server provides better conversion accuracy that also reduces the time spent on proofreading.
“Gaaiho boosts conversion accuracy and saves us a lot of time correcting texts,” Su points out.