Does your business operate worldwide? If so, how do you appeal to varied, international audiences? In today's globalized world, many businesses face a similar challenge: the need to communicate effectively with customers across languages, countries, and cultures. Here, localization presents a practical solution. By making content available in multiple languages, localization helps companies connect with diverse audiences and succeed internationally. To explore the impact of localization on businesses, DeepL conducted research, resulting in our report: The state of translation and localization in 2023-2024: insights, challenges, and opportunities. The research found that 75% of marketers in the U.S., Germany, France, and Japan believe localized content significantly boosts customer engagement. HubSpot, a leading provider of customer relationship management (CRM) tools, is well-versed in the art of localization. By integrating DeepL's cutting-edge AI translation into its localization workflow, HubSpot has scaled its efforts to deliver high-quality, multilingual content faster than ever before. In this blog post, we'll explore how HubSpot leveled up its localization strategy and stayed ahead of global competition by running DeepL under the hood. HubSpot owns and manages a staggering number of web assets, including landing pages, blog posts, and more. With more than 175,000 customers in 100 countries worldwide, HubSpot must provide accurate localization to meet the needs of its diverse customer base. As if the sheer volume of content wasn’t enough, there’s also the need for real-time updates in HubSpot’s 40+ supported languages to consider. To meet this challenge, HubSpot uses Mova, an internally developed system that acts as a central repository and combines the functionality of tools such as Slack, Jira, Figma, and Workato. With Mova, HubSpot can monitor its web assets in real time, making it easy for the company to quickly identify those that need localization and set up automated workflows. The key to HubSpot's excellent localization quality, however, lies in its use of state-of-the-art machine translation services like DeepL and ModernMT. Thanks to advanced neural networks and AI translation technology, DeepL’s translations are highly accurate and natural-sounding—meaning HubSpot can translate its web assets with precision and confidence. In fact, with Mova's integration of DeepL, HubSpot can translate assets one at a time or set up an automatic translation process, triggered when changes are made in the original language. With DeepL, HubSpot has scaled its localization efforts and now publishes multilingual content faster than ever. This efficient automation reduces the workload for its localization team, allowing them to focus on more critical tasks. Moreover, HubSpot can optimize its localization workflows based on asset performance. Popular blog posts, for example, can be assigned a workflow that includes human review alongside machine translation, ensuring the highest quality where it matters most. HubSpot’s localization efforts are extensive and effective. While several factors contribute to its success, according to Dierk Runne, HubSpot’s Senior Manager of Localization and Systems, technological literacy plays a large role: Additionally, Dierk recommends working closely with other teams' stakeholders and sharing localization knowledge to drive further value and enablement. HubSpot's use of DeepL in its localization workflow has helped this CRM giant meet the unique demands of its global customer base. By harnessing the power of AI-powered machine translation, HubSpot has successfully scaled its localization efforts—delivering high-quality multilingual content and optimizing resources. As businesses expand globally, the use of AI machine translation services like DeepL will undoubtedly play a role in bridging communication barriers and fostering meaningful connections with customers. To learn more about the importance of machine translation in international marketing, download our report today. Update: it's official—the DeepL glossary is now available in Korean! Since its launch in 2023, there's been a strong demand for Korean to be added to the glossary. We're excited to help even more global teams scale efficiently and maintain consistency. Plus, keep an eye out for additional DeepL glossary languages in the coming months. Back in May 2022, we explored how to create glossary entries to ensure that words and phrases are always translated in your preferred way. Since then, we've leveled up this feature with shared glossaries and the implementation of 60+ glossary language combinations between: This means that you can create custom glossaries using any combination of the above languages. Whether your company needs English and Chinese, French and Polish, or Japanese and German (the list goes on), DeepL has you covered. Here we’ll explore how the glossary feature's latest improvements can specifically help businesses grow their enterprise, consolidate internal and external communication, and increase team productivity. Glossaries ensure consistency in messaging across multiple languages. For multinational companies, standardizing terms such as technical jargon, product names, or product documentation keeps everyone—clients, customers, and team members—on the same page, even when translating text to other languages. This also helps to reduce costs and time lost with manual editing. We’ve recently introduced shared glossaries for users with a DeepL Pro for Business subscription. This means team members can create their own glossaries and then share those with other colleagues or their entire team—increasing collaboration and translation efficiency all at once. Glossaries help ensure translation consistency by tailoring and standardizing the output of specific words and phrases. To create an effective DeepL glossary for your team, it’s essential to consistently update it with the latest company terminologies. This involves adding entries for new products and services or removing or amending entries when they are discontinued. By doing so, you can make sure that your translations are always up to date and minimize having to manually edit internal and external communications. When team members use the shared glossaries feature, they can all access the same predefined glossary entries. This guarantees that everyone translates specific words and phrases uniformly, regardless of who is doing the translation. The glossary feature can be used as a part of a subscription plan (Starter, Advanced, or Ultimate) as well as with the DeepL API. With a subscription plan you can: With the API you can: Global companies use the DeepL glossary to ensure consistency throughout their communication. For example, Deutsche Bahn, Germany’s national railway company—and the largest railway operator in Europe—uses the DeepL glossary feature to maintain translation consistency for its 320,000 employees worldwide. This is especially important for train conductors and station employees who must communicate across languages for safety and scheduling purposes. The glossary feature is also highly used by organizations in the legal industry, where translation errors and inconsistencies can have immense consequences. DeepL's AI is consistently trained using official EU documents, allowing it to accurately translate intricate linguistic nuances in complex legal texts. Maintaining consistent messaging helps keep growing teams on the same page. It also ensures that prospective customers develop a clear understanding of your business and how you can alleviate their pain points. If you'd like to refine your company's messaging using DeepL Pro, get in touch with our Sales team. You can also learn more about the glossary feature in our Help Center. Does your company have specific security requirements for all the tools and vendors it works with? If you answered yes, good—you should. From GDPR to ISO 27001, there are many important data security and privacy measures you need to take into consideration. On that note, we have great news. DeepL now has another qualification to add to its growing list: the SOC 2 Type II report. This extensive auditing procedure provides the proof that security-conscious organizations need when choosing which tools and service providers to work with. Want to learn more about what this is, why it’s important, and how you can access DeepL’s report? Read on. The Service and Organization Controls (SOC) 2 Type II report was ​​developed by the American Institute of Certified Public Accountants (AICPA), based on the Trust Services Criteria (TSC), as a way to define proper customer data management. The purpose of the SOC 2 report is to evaluate information systems of a company or organization based on five “trust service principles”, which are: According to Maximilian Ehrlich, DeepL’s Information Security Officer, it’s important to note that “each SOC 2 Type II report is unique to the organization and, therefore, reflects its own designed controls in accordance with its business objectives, risks, and adherence to the trust service criteria.” As the SOC 2 Type II report provides critical information on how customer data is managed, it must be issued by an outside auditor. It’s the job of this auditor to assess how well the company or organization in question is complying with the five trust principles defined above. If there’s a SOC 2 Type II report, there has to be a Type I, right? Indeed, there is—and there are some important distinctions between the two. The main difference between the Type I and the Type II report is that the Type I describes the existing controls of a company. On the other hand, the Type II requires that an independent auditor checks the described controls. According to Ehrlich, the Type II report proves that “the predefined policies and procedures have been successfully followed for a reporting period of 12 months", which is verified by a third party. Therefore, the Type II report serves as a much stronger testament to existing security controls than a Type I report. While not every company requires their partners and service providers to have passed their SOC 2 Type II report, the most security-minded organizations do. Successfully completing the SOC 2 Type II audit is a rigorous, extensive undertaking. Thus, having this report is a clear sign to all potential partners, suppliers, and clients that your company prioritizes data security and privacy—and you’ve put in the work to prove it. At DeepL, data security, privacy, and data protection are of the utmost importance—which is why we’re so pleased to share that DeepL has passed its independent SOC 2 Type II audit of its Pro service, conducted by a Certified Public Accountant (CPA). Here, Ehrlich perfectly captures DeepL’s shared sentiment, stating: “We are proud to announce our SOC 2 Type II report as further evidence of DeepL’s commitment to security and validation of our security measures." Of course, we’re happy to share DeepL’s audit verdict and the final report: And if you’d like to learn more about how we protect customer data at DeepL, you can peruse our data security page or check out our data protection deep dive. How many languages does your company operate in? Probably quite a few. As the global marketplace becomes increasingly interlinked, communicating in multiple languages is a necessity for businesses to thrive. This is where translation and localization come in, allowing companies to authentically connect. However, 87% of marketers from our recent study stated that having to translate content into multiple languages can be both costly and difficult. Cue machine translation—which makes a big difference by offering an accurate, efficient, and cost-effective method to localize companies' content. But choosing the right machine translation vendor is not a decision to be taken lightly, as it can have a significant impact on your company's localization strategy and overall workflow. In this blog post, we’ll explore some of the key considerations when selecting the best machine translation tool for your organization. Remember, with the right choice, your business not only benefits from accurate translations, but also from a seamless, secure, and efficient localization process. With the help of Regina Corso Consulting, DeepL recently conducted a survey of marketers in the United States, France, Germany, and Japan—specifically targeting those responsible for translation and localization. With the results of this survey, we created the report: The state of translation and localization in 2023-2024: insights, challenges, and opportunities. Thanks to this research, we discovered a host of helpful insights. For example, 75% of respondents agreed that localized content significantly boosts customer engagement—while a staggering 96% reported positive ROI (return on investment) from localization efforts. Clearly, localization has a significant business impact—meaning that selecting the right machine translation software is critical. According to our research, the most important considerations include: Interestingly, 80% of respondents work in the technology industry. This may indicate that the importance of the above considerations is impacted by the specific needs of tech companies, where document translation, data security, and API availability play a greater role. There’s more than one way to work with—and benefit from—a machine translation tool. Our survey revealed three different approaches that marketers are using to work with machine translation vendors: Our findings surrounding the use of machine translation suggest a trend toward collaboration, with most marketers opting to team up with experts. With this in mind, businesses should consider the benefits of using a technology partner/agency versus contracting directly with a machine translation vendor. On the one hand, opting for a technology partner or agency allows companies to benefit from their expertise and existing relationships with vendors. On the other hand, working directly with vendors is a better choice for those seeking increased control over the translation process and a more cost-effective solution. For this option, DeepL is an ideal choice—as its accurate, efficient AI translations help to streamline the localization process. Choosing the right machine translation vendor is just one step in the translation and localization journey. With the help of the right tool, your company can streamline localization workflows and operate more efficiently. To learn more about translation and localization best practices and how AI translation tools play a role in enterprise localization success, download our report today. What you need to know about DeepL’s latest language release: !مرحباً (Welcome!) We’ve officially added Arabic to DeepL Translator. The 5th most spoken language in the world, Arabic has been one of our users’ most requested languages. This launch provides millions of companies in all industries, whose primary language is Arabic, with the opportunity to go global and standardize communication across borders. While there are many spoken dialects across the Arab world, Modern Standard Arabic (MSA), or Fus’ha (اللغة العربية الفصحى), is the official written form of Arabic and is used in all official communication within governments, organizations, academia, literature, print and mass media, and law. Notably, Arabic is the first language DeepL has launched that is written and read from right-to-left—and represents a significant technical achievement in the development of the translator. We've launched Arabic first on our web translator and mobile and desktop apps, with browser extensions and the API capability soon to follow. Document translation, formality options, and glossary capability will be released at a later date. We’ll also continue to localize our right-to-left UI for Arabic-speaking users. With this addition, we’re excited to open access to DeepL to more than 400 million Arabic speakers around the world. As always, DeepL’s development of neural network technology is leading the way in producing nuanced and natural-sounding translations. Want to start translating in Arabic? Head over to DeepL Translator! Localization—not to be confused with translation—is the practice of adapting products or content to local languages and cultures. Essential for businesses looking to expand their global reach, content localization allows companies to reach consumers where they’re most comfortable: in their native language. Recently, DeepL partnered with Regina Corso Consulting to survey marketers in France, Germany, Japan, and the United States who are responsible for translation and localization at their companies. Using the results of this survey, we created the report, The state of translation and localization in 2023-2024: insights, challenges, and opportunities. In this blog post, we’ll summarize some of the survey’s key findings and explore why localization is one of the most important investments for global companies. Then, to learn why DeepL’s AI translation tool is the ideal helper to speed up localization processes, you can access our full report. The study—targeted at director-level marketers in companies with over 100 employees—had three main objectives: Below, you’ll find a selection of the main insights that we uncovered. For businesses to succeed in international markets and drive growth, they need to create multilingual content—which is why localization plays such an important role in global expansion. For this report, we wanted to find out, more specifically, how localized content impacts return on investment (ROI). Here’s what we discovered: Key insight: An overwhelming 96% of respondents reported a positive ROI from localization efforts, and notably, 65% reported an ROI of 3x or greater. Why it matters: For companies that aren’t sure if they should allocate resources to localization, these figures offer compelling evidence to do so. AI’s role in content generation has been expanding over the past months. An interesting trend that’s reshaping the localization process, we wanted to know how prevalent the use of AI tools is with today’s marketers. Key insight: AI-assisted writing tools are used by 77% of respondents, and machine translation by an astonishing 98%. Why it matters: This isn't a passing trend; it’s the new standard. Businesses slow to adapt risk being overshadowed by those who have integrated these technologies into their localization efforts. Many marketers wonder if investing in localization is worth the time and effort. What tangible benefits does it boast for businesses to localize new and existing content? Well, according to our research, increased customer engagement is high on the list. Key insight: 75% of respondents agreed that localized content significantly boosts customer engagement. Why it matters: Engaged customers are more likely to become repeat customers, refer your business, and spend more money on products and services. Even as AI tools become more advanced, human involvement will remain an integral part of a successful content localization strategy. Machine translation isn’t perfect, and a human-in-the-loop approach is the key to success. Incorporating human review allows companies to ensure all content adheres to their style and quality guidelines. Key insight: 99% of respondents supplement machine translation with human review. Why it matters: This underscores the need for a balanced approach that incorporates both technological and human expertise for high-quality outcomes. While machine translation can speed up the localization process, it still has some weak spots to keep in mind. Key insight: A significant 82% expressed concerns about accurately translating industry-specific terms. Why it matters: For industry-specific jargon and vocabulary, companies should consider training custom machine translation models or selecting a machine translator that comes with a glossary feature. These are just a few of the many insights you can expect from The state of translation and localization in 2023-2024 report. It's the ideal resource for anyone interested in: For fast, accurate, and secure AI translations to speed up your localization projects, DeepL is the best solution around. Ready to take the first step towards transforming translation and localization at your company? Download the full report now for free and learn how DeepL can help streamline your localization processes. We’re thrilled to announce a massive expansion of our subscription service DeepL Pro. Now available in 25 additional markets, DeepL Pro unlocks vast business potential for companies of all sizes and industries on a global scale. This expansion continues to advance our mission to break down communication barriers worldwide and to put the best possible AI in the hands of businesses everywhere. In addition to world-class translation accuracy, DeepL Pro users receive unlimited text translation, top-notch data security, expanded customization options, and more. Our translations even take into account sector-specific terminology, further curating brand messaging at an industry level. We’re excited to now offer DeepL Pro to the following markets: With more and more businesses implementing AI into their workflows, DeepL Pro offers a state-of-the-art AI translation service built upon the advanced AI technology that's made us a leader in the field. DeepL Pro is designed with businesses in mind, with features that save time and costs while boosting efficiency and productivity. From small and medium-sized businesses to global corporations, advanced translation features can help any organization reach new markets and customers. Is your business located in one of our newest DeepL Pro countries and looking to expand on a global level? Find the best plan for your team over at the DeepL Pro page and get started today. If you work in the legal industry, you’ve probably been eyeing the most recent wave of AI adoption with a mixture of interest and apprehension. Are you anticipating (or dreading) the slew of lawsuits that are sure to arise from AI use and misuse? Or wondering how AI will impact your own daily work? Ultimately, as technology evolves, the law needs to keep pace—and with it, legal professionals. Whatever your view on AI, it’s here to stay. In this article, we’ll explore five of the most game-changing AI tools transforming the legal profession and how they can benefit your law firm. If you’re not using these tools already, we can guarantee that your competition is! We'll also fill you in on how to vet AI tools suitable for the practice of law and let you know which AI features are most useful for lawyers today. Not even the often traditionalist field of law is immune to the rise of artificial intelligence. In fact, AI is already becoming a linchpin in the legal field, allowing lawyers to work more efficiently and provide better service to their clients. AI-based tools can help law firms stay competitive in a constantly evolving global market. Dr. Axel Freiherr von dem Bussche, LL.M. (L.S.E.), CIPP/E, Partner at Taylor Wessing, weighs in: The bottom line for many lawyers? AI tools can take over some of the mundane and tedious tasks legal professionals dread, freeing up time for more high-value work (and removing a few headaches along the way.) Let’s take a closer look. The legal industry is already complex, but when you add international clients and colleagues to the mix, things can get even more complicated. Practicing international law requires an understanding of diverse legal systems and cultures, as well as the ability to keep up with constantly evolving laws and regulations. This can be particularly challenging when there's a language barrier. As the legal industry continues to become more globalized, law firms are working with an increasing number of international clients. According to a Maia Research report on legal translation software, there is a growing demand for legal translation services, which is currently experiencing 13-15% year-on-year growth. AI-powered translation tools are useful for providing legally operable translations, such as bilingual contracts, and convenience translations like client communications. However, it's important to note that AI translation shouldn't completely replace human translators. Some official documents require certified or notarized translations that can only be provided by a certified human translator. For example, when a client is applying for citizenship in a foreign country, they often need to provide a certified translation of their birth certificate and other identification documents. To ensure accuracy, "human-in-the-loop" workflows are crucial to approve AI-generated translations. According to Gartner, solutions that combine staffing and software will account for 30% of all new legal tech automation offerings through 2025. AI-powered knowledge management systems have revolutionized the legal industry, giving lawyers lightning-fast access to critical information. With these powerful tools, legal professionals can quickly search through vast amounts of data, identify patterns in legal documents, and stay on top of changes in laws and regulations. Best of all, these systems automate tedious processes such as document categorization, saving valuable time and increasing productivity. Not surprisingly, the use of AI-powered knowledge management systems is on the rise among legal professionals. One of the key areas where AI is making an impact on legal work today is in contract analysis and management. These tools automate mundane tasks such as document review or tracking deadlines for signed agreements. Lawyers can use AI-driven systems to quickly review contracts and identify potential issues, such as risks associated with certain clauses. These systems also store contracts centrally, making them more accessible and automating error notifications. AI-enabled contract management tools also provide insights into past cases to help minimize disputes arising from noncompliance with laws or regulations. Natural language processing algorithms are used to detect discrepancies in existing contracts and to suggest ways to mitigate risks. This helps law firms ensure they provide the best service to their clients while remaining competitive in the market. In the legal field, generative AI is offering a new level of efficiency for document creation. This process entails using AI algorithms to generate documents from templates and structured data sets, as well as analyzing contracts for potential risks or discrepancies. By automating these tedious tasks, lawyers can save time and money while helping their firm remain competitive in the world of advancing AI. AI-powered document creation also helps reduce errors and spot mistakes quickly—allowing attorneys to better protect their clients' interests during negotiations by identifying potential issues before they become problems down the line. As a result, lawyers can provide more personalized services that meet their clients' needs faster than ever before. Chatbots are a valuable first point of contact in the client intake process. AI-powered chatbots provide general advice to clients and understand complex questions using natural language processing, directing clients to the information they need instantly. Chatbots offer 24/7 availability, quickly answering inquiries and FAQs, reducing wait times, and enabling staff members to focus on more detailed queries. Using AI-powered chatbot technology saves time and resources while providing better customer service. However helpful these tools may be, implementing AI technologies isn't to be taken lightly, as there are certain risks associated with using AI. It's important for firms to understand the implications of deploying AI technologies and make sure that the technology is implemented responsibly. This means establishing protocols regarding data privacy and security when dealing with confidential client data. Firms should also consider how to use AI responsibly and ethically, such as taking steps to audit machine learning models for bias or instituting a policy that requires the use of AI to be monitored and supervised by a human. Lawyers must be aware of the evolving legal requirements for AI to give sound counsel regarding its use and to guarantee that the tools they use in their work are foolproof. The General Data Protection Regulation is a stringent security and privacy regulation. It affects businesses that pursue or store data pertaining to people situated in the European Union. Artificial intelligence that abides by the GDPR requirements can be relied on to honor and safeguard confidential information. Data encryption scrambles information to create a code that can only be unlocked using an individual password or key. This makes it far more difficult for any unauthorized individuals to access the data. Regulations like GDPR demand that encryption is used to ensure personal information is kept secure. Single sign-on (SSO) allows users to access various programs and systems with only one set of credentials, eliminating the worry of weak passwords or forgotten login details. This not only saves time, but also helps to secure confidential data from unauthorized access. Two-factor authentication (2FA) adds an extra layer of security by requiring users to provide two forms of authentication, such as a password and a verification code sent to their phone, before accessing their accounts. This reduces the risk of account takeover and prevents unauthorized access to confidential information. ISO 27001 is an international standard that helps businesses manage the security of their information systems. By partnering with an ISO 27001-certified provider, law firms can better protect their data and guarantee a high level of security. Customer research carried out by DeepL in 2023 identified these features as particularly helpful for law firms. Does the AI tool integrate where the team is already working? How easy is it to start using this tool? How much time will it take to implement? Is the AI trainable? Does it save and store data to customize the user experience? How is your law practice approaching safe AI use? Is your legal team working internationally? Learn how DeepL’s secure AI translation technology can help your law firm by visiting DeepL for legal teams. Great news for our file translation enthusiasts, we’ve added exciting new updates aimed at enhancing customization and providing even more options for a flawless translation experience. With these updates, our Advanced and Ultimate subscribers will be able to translate a wider range of files and maintain more control over their output. Before we dig into what’s new, let’s cover how DeepL’s file translation works. With our file translation capabilities, you can easily and securely translate entire PDF, Word, PowerPoint, HTML, XLIFF, and text documents. All translated documents retain their original formatting, saving you time and effort in your daily workflows. Plus, as part of our commitment to the highest security standards, we handle all PDF translations in-house using our privately operated servers, meaning no third parties have access to your data. Translating documents with DeepL is as simple as it gets. Just follow these easy steps: 1. Log in or create an account: Either log in to your existing account or create a new one. If you have a DeepL Pro subscription, you’ll benefit from more advanced file translation capabilities.* 2. Upload your document: Click Translate Files, then drag and drop your document into the translator window or select the file from your computer. 3. Choose your desired target language: With 30+ languages to choose from, select the one that best suits your needs. 4. Translate: Click the Translate button. 5. Download: When the process is complete, simply download your translated document. That’s it, five steps to getting high-quality document translations in 30+ languages. *Free accounts get 3 non-editable file translations per month. Paid subscriptions get editable file translations, with the monthly allowance dependent on the chosen plan. Whether you need to translate dozens of complex legal PDFs or a few simple Word documents, our file translation feature has you covered. So, what’s new? Quite a bit. That’s right—Excel has officially joined the ranks of DeepL’s document translation lineup for Advanced and Ultimate subscribers, with support for API Free and Pro users coming soon, too. As one of our most-requested file formats, we’re excited to now be able to support .xlsx files. Our aim is to make our document translation service more helpful and relevant for your multilingual workflows—whatever software you’re working with. After all, more file translation options mean greater end-user control, allowing you to better manage your processes. With the ability to translate Excel files alongside PDFs, PowerPoints, Word docs, and more, you can increase your—and your team’s—productivity and streamline your multilingual projects with ease. For more detailed information on the current setup and initial capabilities of Excel document translation, check out our Help Center. We’re always looking for ways to enhance the DeepL experience and put more control in the hands of our users. That’s why Advanced and Ultimate subscribers can now download editable .docx files as a result of PDF translations. Why .docx files, you ask? We’ve found that editable .docx files allow for more advanced customization—making it possible for users to manage their translation output and layout on a more detailed level. Choose between .docx or .pdf as your PDF translation output and better meet your team’s individual needs. Finally, we’re also increasing the file size limits for .pdf, .docx, and .pptx files for Advanced and Ultimate subscribers, as well as for API Pro subscribers. The changes are: With these updates, Advanced, Ultimate, and API Pro subscribers will be able to quickly and accurately translate even larger files—providing additional value and allowing for more efficient daily work. Translating documents with DeepL has always been simple and effective. Now, it’s even better than before. By offering additional file options, more control, and increased utility, DeepL has you covered for all of your document translation needs. Interested in seeing how our document translation updates can improve your DeepL experience? Try out the new file translation updates today with your Advanced, Ultimate, or API plan—or consider upgrading.* *Subscribers with a Starter plan can compare and upgrade within the "Plan" tab of their DeepL account. As if these amazing changes aren't exciting enough, we'll also be rolling out an edit mode for document translation in the next few weeks. Watch this space for a full update! Localization isn't an easy process; it requires time, effort, and a great deal of expertise. However, there are ways to make localization easier and less time-consuming—namely, with AI translation. Great for localizing everything from your website content to customer support to marketing materials, an AI translation tool like DeepL allows companies to work more efficiently. With higher quality and more accurate machine translations that improve project alignment and lower costs, your company can get a leg up on the competition. But don’t just take our word for it—ask our customers. In this post, we’ll cover three case studies to see how real DeepL customers used AI translation to enhance their localization processes and take their businesses global. As the largest railway operator and infrastructure owner in Europe, Deutsche Bahn (DB) has employees all over the continent. Of its 320,000 full-time employees, only 64% are based in Germany—meaning communication across multiple languages is key to DB’s international success. Thankfully, DB has DeepL to enable seamless communication for its massive, multilingual workforce. To communicate at scale, DB knew that machine translation technology provided the best solution. However, the company had to overcome its main challenge: highly technical terminology. In order for employees with different native languages and professions to communicate clearly, the translation would have to account for industry-specific jargon, dialects, and idioms. That’s where DeepL’s glossary really came in handy. Since integrating DeepL, DB has added more than 30,000 entries to its glossary, allowing DB employees to communicate consistently across the organization. With the power to specify their own translations for words and even entire phrases, DB ensured the use of industry and company-specific vocabulary in all communications. Additionally, DeepL’s glossaries rely on morphosyntactic terminology integration—meaning that DeepL adapts the formulation of translations based on glossary entries and accounts for factors such as grammatical genders and plurals. This feature was especially important to Deutsche Bahn, with Tom Winter, Data Scientist & Computational Linguist at DB, saying: DB has been a satisfied DeepL customer since early 2022 thanks to its best-in-class translation quality, excellent data security, and customizability via its glossary feature. Going forward, DB is exploring even more instances where machine translation may be able to assist with its railway operations—such as communications with border traffic. To learn more about how DB uses DeepL, you can check out the case study. Weglot is a Paris-based SaaS company that provides localization and translation services to clients around the world. With demand for its localization services high, Weglot needed translation APIs of exceptional quality—which made a partnership with DeepL the ideal choice. As an early adopter of DeepL API, Weglot and its customers have benefited from our accurate, high-quality AI translations since 2018—having already helped over 50,000 companies build multilingual websites. So, why DeepL? Weglot’s founder and CTO, Rémy Berda, was on the lookout for top-quality language translation APIs to enhance his company’s offerings and services. When customers started asking, “Have you added DeepL?” shortly after our DeepL API release, Berda’s interest was sparked. Chosen for its ease of use for developers and high-quality translations, over the last six years, DeepL API has helped Weglot translate billions of characters a month for companies all over the world. Thanks to the accuracy of DeepL’s AI translations, Weglot’s customers save time during their localization processes, which led them to work more efficiently. Since integrating the API, Weglot received plenty of positive customer feedback thanks to DeepL’s speed and accuracy. In fact, Berda himself recommended DeepL to developers who are looking for a high-performing product that’s true to its word, stating: As the e-commerce industry becomes more international, it’s crucial that companies of all sizes have access to high-quality localization and translation services. Thanks to translation tools offered by DeepL and Weglot, quick, accurate multilingual communication with customers and markets around the globe is not only possible–it’s easy. Want to find out more about how Weglot uses DeepL? Read the case study. Known as the “Czech Amazon”, Alza is an e-commerce giant with key markets all over Europe—from Czechia to Germany to Hungary. Since its founding in 1994, Alza has grown from an online electronics shop to a complete marketplace, now offering laptops, video games, pet supplies, cosmetics, and more. In mid-2021, Alza noticed that DeepL added 13 new supported languages, with Czech, Slovak, and Hungarian being the most applicable. After some quality testing, Alza discovered DeepL to be a superior product to their current translation API and quickly made the switch. Since then, Alza has been using DeepL to localize its website into five different European languages: With over 3,000 employees, Alza is growing rapidly—at 20% annually—and recently expanded to Central Europe and the UK. To thrive in these new markets, Alza needed access to high quality translations that wouldn’t overburden its localization team with manual corrections. Thanks to DeepL’s superior translation quality, Alza saved thousands of euros per month in operating costs, as the brand’s human proofreaders spent significantly less time correcting DeepL translations—and could focus on higher-impact projects. Additionally, the migration from Alza’s previous translation API to DeepL took less than one week, and the effect was immediate. In the words of Jakub Kalina, head of Alza’s localization team: Specifically, Alza used DeepL to translate large volumes of reviews, which provided quality assurance for potential customers. Having translated thousands of reviews from Czech into German and Hungarian, Alza saw a significant increase in its conversion rate. As for what’s next, Jakub also foresees a high-volume future for his team: Check out our Alza case study to learn more about how the Czech e-commerce giant uses DeepL to grow. Clearly, DeepL’s high-quality, accurate AI translations are a contributing factor to these three companies’ successful localization processes. Reducing time spent on manual work, improving alignment, and driving down costs, DeepL continues to help streamline DB, Weglot, and Alza’s localization projects to reach global audiences—and we could do the same for your business. To learn more about how your company can benefit from DeepL’s AI translations, visit DeepL Pro for Business.