Google Translate gives you grammatically correct sentences β that nobody actually says. Localizr rewrites your buttons, errors, and App Store listings into English a native speaker would write, and keeps your terminology consistent across the whole app. Every suggestion comes with a note explaining why.
Beta users get lifetime 50% off after launch π
Left: Google Translate. Right: what Localizr proposes. These are patterns you see in real Korean apps every day.
| Screen | Google Translate | Localizr (natural English) |
|---|---|---|
| Popup μ€λ ν루 λ³΄μ§ μκΈ° |
"Don't see today one day" | "Don't show again today"Why: word-for-word translation from Korean breaks the grammar. This exact pattern ships in real apps. |
| Settings screen μ€μ |
"Setting" | "Settings"Why: English always uses the plural "Settings" for a preferences screen β the iOS & Android convention. |
| Login checkbox μλ λ‘κ·ΈμΈ |
"Auto login" | "Keep me signed in"Why: US apps use this phrase instead of a literal "auto login" (common on Apple & Google flows). |
| Login failure λ‘κ·ΈμΈμ μ€ν¨νμ΅λλ€ |
"Failed to log in." | "We couldn't sign you in."Why: consumer apps use the "we" voice to sound like they're on the user's side. |
β» Note: in a developer tool (like IntelliJ), "Cannot connect to server" is actually the standard. Localizr asks where your copy lives and adjusts the register β consumer apps and dev tools talk differently.
For checking 3 sentences, GPT wins. This tool's lane is the whole app.
Is this a button, an error, a checkout step β and is it a consumer app or a dev tool? The same Korean sentence becomes different English depending on where it lives.
Buttons truncate at ~15 chars, App Store titles at 30. Localizr proposes copy that fits β most translation tools don't even try.
If "νμΈ" becomes OK on one screen and Confirm on another, users notice. Localizr keeps a glossary so the same word always maps to the same English.
Every suggestion comes with a short note explaining the change β so you're not copy-pasting blindly, you're building an instinct for it.
Honestly, for 3 strings, ChatGPT wins. This tool doesn't fight it there.
Where Localizr wins is the whole-app workflow:
No signup flow, no onboarding video. Paste, pick, get results.
Drop in your JSON file or a plain list of app copy. 100 strings or 1,000 β doesn't matter.
Button, error, onboarding, or App Store listing β plus consumer app or dev tool. One click each.
Native-sounding copy + plain-language notes on why each line changed. Export back to JSON instantly.
Everything is free during the beta. Join and I'll localize your app's copy by hand β your feedback shapes the product.
Takes 10 seconds β you'll hear back within 24 hours