Tech workers in APAC know that working in the region can come with language challenges. Although most cross-border business is conducted in English, communication can still be difficult and employees may end up relying on services like her Google Translate or his ChatGPT for help.
The same is true for companies trying to win business in regional languages. Jarek Kutylowski, DeepL's founder and CEO, said that thanks to years of development and fine-tuning, the company's natural language processing AI models are now available in 32 languages since launching in Europe in 2017. said it provides natural language translation.
With the addition of APAC languages to its 2024 roadmap, DeepL is expanding its footprint into Australia and Singapore with key business use cases including translation for cross-border business growth. Pro subscriptions (starting at $8.74 per user per month, up to $57.49 for the Ultimate package) and API Pro (starting at $5.49 per month) allow businesses to translate documents at scale, integrate translations within workflows, and more. can.
DeepL expands APAC languages and markets
Founded in Germany, DeepL has gone global, choosing Japan and South Korea as its first markets in Asia. This supported a large number of translation use cases due to strong language barriers in each country, along with strong economies and business relationships with other parts of the world.
DeepL's expansion into APAC will also expand its presence in this market to Australia and Singapore. In addition to English, Japanese and Korean, the company handles many local languages in-house, including Simplified Chinese and Indonesian, with plans to add “some of the larger Asian languages we haven't covered yet” soon. Kutilowsky said he is considering it. .
See also: How Australia is rapidly adapting to a world of generative AI
With over 900 employees worldwide, DeepL is currently used by millions of individuals as well as 100,000 businesses and organizations worldwide. With a growing business user base in Japan and South Korea, DeepL expects regional expansion to further increase the revenue base of his 1 million paid licenses.
DeepL's models are trained for natural language translation
DeepL's focus on providing natural language translation stems from the difference between translation “accuracy” and “fluency” in linguistic communication, the company says.
“In business, one important aspect is whether what you write is correct. But accuracy is not the only thing companies look for in their communications. They need to persuade, motivate, and be clear. We want to communicate and make an impact with the language of communication,” Kutilowsky said. How native it feels and how natural it is is very important. ”
How DeepL enables natural language translation
DeepL achieves high levels of natural fluency in the target language in two main ways:
- DeepL was one of the first companies to bring AI-based neural machine translation to market in 2017. Since then, we have been actively engaged in academic research to ensure that our models not only translate, but also express naturally in the target language.
- DeepL fine-tunes its AI translation by employing over 1,000 native-speaker trainers around the world. They can review the output that is being produced by the model and train the model on how to express it more naturally in their language.
DeepL has Pro and API subscriptions for business translation
DeepL is a website (Diagram A) Also available as a browser extension. But for enterprises, DeepL's growing presence in APAC is ultimately aimed at increasing interest in DeepL Pro and API Pro subscriptions. Both offer advanced features designed to help local businesses scale and securely integrate translations.
Diagram A
In addition to natural language translation, DeepL's Pro subscription provides:
- data security: DeepL deletes all processed text from the servers operated by DeepL after the translation is complete. The company promises that customer texts will never be passed on to third parties or used as AI training data.
- Unlimited text translation: DeepL Pro products include unlimited text translation. This includes the ability to translate more documents with larger file sizes while preserving the formatting of the original document.
- customized control: Businesses can adjust AI output to maintain brand consistency and standardize messaging through customization. This includes controlling things like designated brand terms.
DeepL's API Pro subscription provides data security and access to DeepL's REST API without volume limits, but users pay a usage fee of $25 per million characters. This subscription allows businesses to integrate DeepL's translation capabilities with their websites, apps, internal communication tools, and more with just a few clicks.
DeepL has options for integration within customer and user workflows
DeepL has many possible use cases. “There are potentially so many different jobs being done by different users. They could be writing notes in Gmail, writing notes in Salesforce, creating documents in Microsoft Office, etc.” The use cases are very wide,” Kutylowski explained.
Translation tools are available on the website itself. However, it can also be accessed through a browser extension that instantly translates what is typed into a web browser that works with popular software tools such as Google Docs, Microsoft Office, and Salesforce.
DeepL can also work with customers to integrate translation into their own systems and workflows. Kutylowski gave an example of a company where DeepL is integrated and works in the background in a customer service center, providing customer service with instant translation.
Two typical business use cases for DeepL's translation products
DeepL considers two main groups of business use cases for subscription services.
1: Companies looking to enter new markets in new languages
Companies that want to expand into new markets in languages other than their native language can use DeepL to support their efforts. This means you don't have to immediately hire translators, agencies, representatives, or customer support agents who are fluent in your native language.
“We give existing teams tools to help them interact with customers and potential customers, and they can use them to enter new markets,” Kutilowsky said. “For example, we can even go so far as to pre-translate whitepapers and materials so customers can participate in their own solutions.”
2: Inside an international organization with language barriers
Some companies that span multiple jurisdictions find language barriers to be an issue internally. Kutylowski said the tool reduces the effort and time required for users by allowing them to quickly create everyday communications such as emails in their native language and immediately translate them. I did.
