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Wednesday, October 14, 2026
LatestSkechers bets on localization for growth - China Daily—At Dublin summit, two translators tell how AI re-shaped their craft - Dublin InQuirer—Telekom Offers Meta AI Glasses with Real-Time Translation and Live Captions - The Fast Mode—How long will humans be needed for translation? - BBC—Video Game Translation: How Games Are Localized for Players Around the World - Yonkers Times—AI’s Improved Accuracy Squeezes Translation Industry in Japan - nippon.com—07: Expanding Playerbases Through Localization - Keywords Studios Limited—Lost in translation - The UTD Mercury—Skechers bets on localization for growth - China Daily—At Dublin summit, two translators tell how AI re-shaped their craft - Dublin InQuirer—Telekom Offers Meta AI Glasses with Real-Time Translation and Live Captions - The Fast Mode—How long will humans be needed for translation? - BBC—Video Game Translation: How Games Are Localized for Players Around the World - Yonkers Times—AI’s Improved Accuracy Squeezes Translation Industry in Japan - nippon.com—07: Expanding Playerbases Through Localization - Keywords Studios Limited—Lost in translation - The UTD Mercury—

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Translation & Localization4 weeks ago

From how-to docs to why-it-matters: technical writing with Yaakov Simon

Yaakov Simon, Documentation Manager at Cato Networks, joins the Agile Localization Podcast to explain why the how-to is no longer the tech writer's core value, how his team measures enablement instead of page views, and what translation memory logic looks like in the age of LLMs.

Crowdin Blog
Translation & Localization4 weeks ago

Best Tools & Use Cases For Real-Time Translation in 2026

Real-time translation is the instant conversion of text or speech from one language to another delivered fast enough to support live customer conversations, in-app content, support ticket responses, and real-time document updates without queuing delays. The demand is accelerating: mobile apps generated 36.6 billion iOS downloads in 2025 alone, according to Business of Apps, the majority from non-English speaking markets where real-time language support is a baseline expectation. Discover how real-time translation works, the top tools available, including Smartling Translate, Google Translate, and Microsoft Translator, and how to choose the right approach for your use case.

Smartling Blog
Translation & Localization4 weeks ago

Bing Translate vs. Google Translate: How Do They Compare?

For most business use cases, Google Translate is the stronger default: it supports over 130 languages to Bing Translator's more limited roster, leads on document and image translation features, and integrates more broadly across platforms and devices. Bing holds its own for Microsoft-ecosystem users and formal or technical content. On accuracy, a UCLA Medical Center evaluation of Google Translate found it correctly conveyed meaning 82.5% of the time across languages with results ranging from 94% for Spanish to 55% for Armenian, a variance that applies to both tools. Neither is sufficient alone for professional-grade localization at scale.

Smartling Blog
Translation & Localization4 weeks ago

7 Free & Paid Google Translate Alternatives In 2026

Google Translate is the right starting point for many translation tasks, but it's the wrong endpoint for most business use cases, particularly marketing content, technical documentation, Microsoft-ecosystem workflows, and any content where brand tone and consistency matter. The seven strongest alternatives are DeepL (European languages and nuanced content), Microsoft Translator (Teams, Word, and Outlook integration), Systran (technical and regulated industries), Amazon Translate (high-volume e-commerce), Reverso, ChatGPT, and a multi-engine platform like Smartling, which according to G2 users has ranked first in enterprise translation management for over 20 consecutive quarters. Now let's go deeper on which alternative fits which use case and why single-engine MT rarely scales.

Smartling Blog
Translation & Localization4 weeks ago

How Accurate Is Google Translate? Accuracy by Language & Use Case

Is Google Translate accurate? Yes, generally but accuracy varies significantly by language. A 2021 UCLA Medical Center study found Google Translate preserved meaning correctly 82.5% of the time on average, ranging from 94% for Spanish down to 55% for Armenian. It's reliable for common, well-resourced languages and straightforward content, but less consistent for less common languages, idiomatic phrasing, and nuanced or specialized text. Below we explain where Google Translate works, where it breaks down, and when to use a more reliable, scalable solution.

Smartling Blog
Translation & Localization4 weeks ago

The 9 Best Translation Tools to Translate in 2026

The best translation tool depends entirely on what you need to do: machine translation (Google Translate, DeepL) handles speed and volume; CAT tools (Smartling, SDL Trados, MemoQ) give professional translators the memory and consistency infrastructure to work at scale; and a full translation management system combines both with workflow automation, integrations, and quality controls. The distinction matters because, according to a ProZ survey of over 3,000 translators, 88% of professionals use at least one CAT tool, meaning free MT alone rarely meets business-grade requirements. This guide compares the top options across all three categories, with features, pricing, and best-fit use cases for each.

Smartling Blog
Translation & Localization4 weeks ago

Translation Rates: How Much Does Translation Cost in 2026?

Professional translation rates typically run $0.15 to $0.30 per word for human translation, though the real cost depends on language pair, content type, volume, and how much of your workflow is automated. Smartling has seen a 2,440-word document translated into two languages at standard rates costs roughly $854 before any translation memory discounts apply and those discounts grow substantially as you build up reusable content. This guide breaks down every factor that moves the needle on translation pricing, from specialist content premiums to machine translation tradeoffs, so you can budget accurately and avoid overpaying.  Translation Type Price Range Who It’s Best For Machine translation (MT) ~$10–$20 per million characters High-volume, lower-stakes content like internal docs or first-pass drafts AI translation + human post-editing (MTPE) $0.12 per word for AI-Powered Human Translation  Teams that need speed and volume without sacrificing accuracy Professional human translation $0.15–$0.30 per word Public-facing, brand-sensitive, or regulated content Certified/legal translation Human translation rate + certification fee (varies by region) Contracts, patents, court filings, and other legally binding documents Hourly/creative translation (transcreation) $15–$30/hr general, $75+/hr specialized (healthcare, legal) Slogans, marketing campaigns, and culturally adapted content How are rates for translation services calculated? Translation providers may price their services in several ways, including by word, million characters, or hours spent.   Translation rates per word Translator pricing is most commonly calculated per word. This is simple and transparent for both the translator and the client, making it easy to budget for your project. In the United States, professional translators usually charge between $0.15 and $0.30 per word, although this rate can vary depending on the language pair. They may bill complex or highly technical content at a higher per-word rate due to the additional expertise required. Translation rates per million characters Machine translation can convert massive amounts of text from one language to another quickly and efficiently. As a result, MT providers like Google Translate, Microsoft Translator, and Amazon Translate often price their services per million characters. Rates depend on one’s subscription package and the type of AI translation model used, but pricing starts around $10–20 per million characters. Translation rates per hour Some professional translators, especially those providing creative translation services like transcreation, prefer to charge an hourly rate. This model works well when word count alone doesn’t reflect the effort required. For example, translators may need to go beyond direct text translation and focus on cultural adaptation when localizing a website or a slogan. Hourly rates vary greatly depending on the translator’s expertise and location. The complexity of your project and industry may also come into play, with higher rates for highly specialized content. Basic word-for-word translation may cost as little as $15-30 per hour, whereas experts in healthcare or law might charge $75 or more for the same amount of time. 7 factors that affect translation costs Global businesses should understand what drives translation costs so they can make the most of their budget. Here are some influential factors: 1. Document length The amount of content to be translated directly affects the total cost, whether you’re paying by the word, character, or hour. Longer documents naturally cost more, but some translation companies offer discounted rates for bulk projects. You may be able to negotiate a lower price or upgrade your subscription if you require frequent translations. 2. Language pair The cost of translation varies based on the original and target languages. Translators tend to charge less for translations between English and other widely spoken languages, like Spanish and French. In contrast, translating from English into less common languages, such as Norwegian, Polish, or Igbo, may cost more due to the limited availability of professional translators with those competencies. 3. Expected quality level Quality comes at a premium. Standard translation services may suffice for general business communications, but public-facing or legally binding text often merits advanced translation services with multiple rounds of review and editing. 4. Format Translators can parse standard file formats for popular applications (e.g., Word, Excel, or PowerPoint) with

Smartling Blog
Translation & Localization4 weeks ago

Google Translate vs. DeepL (2026): Accuracy, Pricing, and Which to Use

Neither Google Translate nor DeepL is universally better so the right choice depends on your language pairs, content type, and quality requirements. DeepL consistently outperforms Google for European languages and nuanced business content; Google leads on breadth, supporting over 130 languages compared to DeepL's more limited coverage. According to an Intento benchmark, DeepL ranked as the top-performing engine in 65% of language pairs tested, with particular strength in European combinations. The content below breaks down accuracy, pricing, language support, and integrations for both tools and explains when neither alone is enough for enterprise localization.

Smartling Blog
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