AI Translation and Privacy: What Happens to Your Data
What happens to your text in DeepL, ChatGPT and Google Translate - who stores data, who uses it for training, and how to protect client documents.
Translation tips, AI insights & freelance guides
What happens to your text in DeepL, ChatGPT and Google Translate - who stores data, who uses it for training, and how to protect client documents.
Comparing Whisper, Google, Azure and other ASR systems for Ukrainian - real accuracy numbers, pricing, dialect issues and how to use them for translation work.
Comparing DeepL, Google Cloud Translation, and Azure Translator APIs: pricing, quality, languages, speed, and SDKs - with real numbers and code examples.
Free cloud CAT tools for translators: Smartcat, MateCat, Wordfast Anywhere, and Phrase compared - pricing, limits, features, and real user reviews.
Comparing AI translation tools for GDPR compliance: DeepL, ChatGPT, Claude, Azure - who offers DPA, certifications, and what EU law requires from your business.
We compared Gemini 2.5 Pro and GPT-4o on real translations: quality, pricing, prompts, and Ukrainian support - honest breakdown for translators and clients.
A hands-on checklist for checking machine translation quality - even if you don't speak the target language. Real error examples, metrics, and red flags.
Step-by-step guide to checking a translator's credentials: official databases, red flags, certifications, and how to avoid wasting money on a bad translation.
Comparing LLM and NMT for translation: architecture, speed, cost, quality, hallucinations - with real numbers and practical advice on when each approach works best.
Translation and localization aren't the same thing. Real examples from KFC, Netflix and IKEA show what localization includes and why AI still falls short.
Comparing Lokalise and Crowdin for product teams: pricing, AI translation, GitHub and Figma integrations - with real reviews and numbers.
Honest review of OmegaT 6.0 - the free open-source CAT tool with TM, glossaries, and QA. How to set up, configure, and whether it's enough for real work.