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Translation Stack.
Working translator's setup: first-pass machine translation, terminology consistency, the writing layer that catches what MT flattens. Post-editing as the business model, not the fallback.
Why this page exists
Not a top-10 list: a curated shortlist with reasons. What each tool replaces or accelerates, what it costs, and how it is verified. Every tool links to its profile with price history.
How it is maintained
Curated (and marked as such), later rated by firms that run it. Tools that miss sync get dropped; the stack stays current, or it visibly dies.
ChatGPT unverified
Cross-check term lists, draft client queries, maintain glossaries.
Why here: Consistency across 100 pages is the real job; this keeps the glossary sharp.
DeepL discontinued
First machine pass with terminology control, EU-hosted.
Why here: Post-editing starts with a good machine pass, not raw output.
Grammarly unverified
Style, idiom, flow checks; where machine text becomes human.
Why here: MT translates words; the tone that keeps clients is made here.
Notion unverified
Glossaries, style guides, project history per client.
Why here: Without memory every project translates from zero; the estate grows here.
Build this stack yourself?
Every tool above links to its verified profile: price history, sync status. Start with one, not five.
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