WPS makes use of ML Equipment to seamlessly translate 43 languages and web $65M in annual financial savings

Posted by the Android workforce

WPS is an workplace suite software program that lets customers effortlessly view and edit all their paperwork, displays, spreadsheets, and extra. As a world product, WPS requires a top-notch and dependable in-suite translation expertise that doesn’t require customers to depart the app. To make sure all its customers can benefit from the full advantages of the suite and its content material of their most popular language, WPS makes use of the interpretation API from ML Kit, Google’s on-device and production-ready machine studying toolkit for Android growth.

WPS customers depend on textual content translation

Many WPS customers depend on ML Kit’s translation tools when studying, writing, or viewing their paperwork. In response to a WPS knowledge pattern on single-day utilization, there have been 6,762 every day energetic customers utilizing ML Equipment to translate 17,808 pages throughout all 43 of its supported languages. College students, who signify 44% of WPS’s userbase, particularly depend on translation expertise in WPS. WPS helps college students higher be taught to learn and write international languages by offering them with on the spot, offline translations via ML Equipment.

Moving image of text bubbles with 'hello' in different languages appear (Spanish, French, Korean, English, Greek, Chinese, Italian, Russian, Portuguese, Tamil)

ML Equipment supplies free, offline translations

When selecting a translation supplier, the WPS workforce checked out various well-liked choices. However the different companies the corporate thought of solely supported cloud-based translation and couldn’t translate textual content for some complicated languages. The WPS workforce needed to make sure all of its customers may benefit from textual content translation, no matter language or community availability. WPS in the end selected ML Equipment as a result of it might each translate textual content offline and for every of the languages it serves.

“WPS has many African customers, amongst whom are audio system of Swahili and Tamil, that are complicated languages that aren’t supported by different translation companies,” stated Zhou Qi, Android workforce chief at WPS. “We’re very comfortable to offer these customers with the interpretation companies they want via ML Equipment.”

What’s extra, the opposite translation companies WPS thought of had been costly. ML Equipment is totally free to make use of, and WPS estimates it is saving roughly $65 million per 12 months by selecting ML Equipment over one other, paid translation software program growth package.

Optimizing WPS for ML Equipment’s translation API

ML Equipment not solely supplies highly effective multilingual translation but in addition helps App Bundle and Dynamic Delivery, which supplies customers the choice to obtain ML Equipment’s translation module on demand. With out App Bundle and Dynamic Supply, customers who don’t want ML Equipment would have needed to obtain it anyway, impacting install-time supply.

“When a consumer downloads the WPS app, the essential module is downloaded by default. And when the consumer wants to make use of the interpretation function, solely then will or not it’s downloaded. This reduces the preliminary obtain measurement and ensures customers who do not want translation help received’t be bothered by downloading the module,” stated Zhou.

Quote card with headshot of Zhou Qui and text reads, “By using ML Kit’s free API, we provide our users with very useful functions, adding convenience to their daily lives and making document reading and processing more efficient.” — Zhou Qi, Android team leader, WPS

ML Equipment’s assets made the method straightforward

Throughout implementation the WPS workforce used ML Kit’s official guides incessantly to steer their growth processes. These instruments allowed them to be taught the ins and outs of the API and guarantee any modifications met all of its customers’ wants. With the documentation and proposals supplied straight from the ML Equipment web site, WPS builders had been in a position to rapidly and simply combine the brand new toolkit to their workflow.

“With the supplied assets, we not often needed to seek for assist. The documentation was clear and concise. Plus, the API was simple and developer-friendly, which drastically lowered the training curve,” stated Zhou.

Streamlining UX with ML Equipment

Earlier than implementing ML Equipment, WPS customers needed to open a separate software to translate their paperwork, making a burdensome consumer expertise. With ML Equipment’s automatic language identification and instant translations, WPS now supplies its customers a streamlined approach to translate textual content rapidly, precisely, and with out ever leaving the appliance, considerably enhancing platform UX.

Shifting ahead, WPS plans to develop its use of ML Equipment, notably with text recognition. WPS customers proceed to request the power to course of textual content on captured pictures, so the corporate plans to make use of ML Equipment to refine the app’s textual content recognition skills as properly.

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