Comparisons

Translation & localisation, compared honestly.

Head-to-head breakdowns of the tools, workflows and approaches teams weigh up most — with comparison tables, metrics, FAQs and clear verdicts.

Human TranslationvsAI Translation

Human Translation vs AI Translation

AI translation is fast and cheap. Human translation is nuanced and reliable. The smartest teams don't pick a side — they orchestrate both. Here's how the two actually compare, and where each one wins.

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DeepLvsProfessional Translation

DeepL vs Professional Translation

DeepL is the best-known neural MT tool — fast, free at the margin, and impressively fluent. But fluent isn't the same as fit for purpose. Here's where DeepL excels and where a professional translation partner is the safer bet.

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ChatGPTvsNative Translators

ChatGPT vs Native Translators

ChatGPT can translate in seconds and sounds confident doing it. But confident ≠ correct. Native translators bring cultural fluency, accountability and judgement that an LLM can't replicate. Here's the honest comparison.

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TranslationvsLocalisation

Translation vs Localisation

Translation converts words. Localisation adapts the whole experience. Confusing the two is why so many international launches feel 'off'. Here's the precise difference — and what to invest in for each market.

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Machine TranslationvsPost-Editing (MTPE)

Machine Translation vs Post-Editing (MTPE)

Raw machine translation gets you 80% there. The last 20% — accuracy, terminology, tone — is what post-editing fixes. Understanding the trade-off helps you choose the right workflow for each content type.

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