AI Translation & Workflows Blog Category | Lokalise

Editor's picks

AI translation vs. human translation: Breaking down the trade-offs

Automating context management in translation.webp

How to automate context management in translation

Most localization teams struggle with finding the right context. Translators jump between the TMS, Jira, Figma, Slack, and old docs just to understand a single string. Reviewers approve copy without ever seeing the screen it lives on. Developers spend hours every week explaining where text appears and what it must not break. All of this context switching in localization slows releases and drives up translation rework. On paper, it looks like “bad translation.” In reality, it

Updated on February 3, 2026·Mia Comic

AI Translation

How AI is changing design-stage localization

Designers work in Figma. Developers work in GitHub. Localization teams work in localization software. Each team operates in isolation, creating context-switching delays that slow down your launch timelines. Design-stage localization changes this equation bringing translation into the design phase. And with AI integrated into your setup, this process can become even faster. Instead of waiting days for translations, designers get AI-translated strings in minu

Updated on January 29, 2026·Shreelekha Singh

AI Translation

ChatGPT vs. machine translation: Is it a fair comparison?

Most teams today are asking themselves: Should we use ChatGPT or machine translation for localization? The real question should be: How can we get the best results from both, without wasting time or money? Large Language Models (LLMs) like ChatGPT are changing the way we approach translation. They offer fluency, creativity, and context awareness that traditional Neural Machine Translation (NMT) engines can’t always match. However… To get localization-ready output fro

Updated on January 30, 2026·Mia Comic

AI Translation·Product & News

Season 1, Episode 2: AI amnesia, health tech, and why humans are hard to emulate

In this episode of AI Navigators, we sit down with Sasho Savkov, Engineering Manager for the AI/ML team at Lokalise. With a PhD in clinical information extraction and nearly a decade building healthcare solutions, Sasho brings a unique perspective on what’s actually working versus what’s just noise. He challenges one of the biggest assumptions in AI today: that current single-shot learning approaches will lead us to human-level intelligence. His insights rev

Updated on September 9, 2025·Rachel Wolff

AI Translation

RAG vs the buzz: How Retrieval-Augmented Generation is quietly disrupting AI

As a Product Manager leading AI innovations at Lokalise, I’ve been closely following the latest AI news and filtering out the noise that inevitably comes with a revolutionary tech boom. AI has moved incredibly fast since ChatGPT exploded into the mainstream in late 2022, what I like to call ‘the GPT moment’. We’ve seen major model releases roughly every few months, from GPT-3.5 through GPT-4, GPT-4o, and most recently GPT-5 with its integrated reasoning capabilities launched in Au

Updated on September 12, 2025·Adam Soltys

AI Translation

AI translation quality achieves human parity: Is this the end of language barriers?

To paraphrase Captain Kirk, AI has boldly gone where no machine has gone before: it has finally reached human-level translation quality. But this doesn’t mean we’re done with AI translation. Far from it. We’re only just getting started, and the possibilities are both endless and exciting. After decades of clunky, error-prone, and literal-sounding machine translation, we’ve reached a pivotal moment where automated translation matches human quality. When fed t

Updated on August 13, 2025·Rachel Wolff

AI Translation

Season 1, Episode 1: A product leader’s guide to going beyond the AI hype to find what actually works

In this episode of AI Navigators, we sit down with Adam Soltys, Senior Product Lead for the AI Translations Domain at Lokalise, to explore what’s actually driving AI success in enterprise applications today. With every company claiming to be ‘AI-powered’, how do you cut through the noise? Adam reveals what’s actually working: while everyone’s talking about AI agents, the real impact is coming from an ‘old school’ technology that’s quietly delivering extraordinary result

Updated on August 12, 2025·Rachel Wolff

AI Translation·Product & News

Building an AI-powered translation flow using Lokalise API and webhooks

Managing translations in a growing product can quickly become repetitive and error-prone, especially when dealing with frequent content updates or multiple languages. Lokalise helps automate this process, and with the right setup you can build a full AI-powered translation pipeline that runs with minimal manual input. In this guide, you’ll learn how to: Upload translation files to Lokalise automaticallyCreate AI-based translation tasksUse webhooks to downloa

Updated on July 22, 2025·Ilya Krukowski

Category: AI Translation - Page 2

Editor's picks

AI translation vs. human translation: Breaking down the trade-offs

How to automate context management in translation

How AI is changing design-stage localization

ChatGPT vs. machine translation: Is it a fair comparison?

Season 1, Episode 2: AI amnesia, health tech, and why humans are hard to emulate

RAG vs the buzz: How Retrieval-Augmented Generation is quietly disrupting AI

AI translation quality achieves human parity: Is this the end of language barriers?

Season 1, Episode 1: A product leader’s guide to going beyond the AI hype to find what actually works

Building an AI-powered translation flow using Lokalise API and webhooks

Editor's picks

AI translation vs. human translation: Breaking down the trade-offs

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