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An end-to-end AI language and localization platform connecting automation with global linguists
A continuous localization and agile translation management platform for modern software teams
Lokalise is a continuous localization and translation management platform for software and cross-platform products. It connects GitHub, Figma, Jira, app frameworks, product copy, and AI translation so teams can iterate and ship multilingual experiences faster.
Updated
2026-10-22
Platforms
Web / API / GitHub / Figma
Paid
A 14-day free trial is available.Explorer: $144/month, including 5 advanced seats.Growth / Essential: $499/month, including 10 advanced seats and advanced automation.Advanced: $999/month.Enterprise: custom pricing through sales. Plans can be billed monthly or annually; current seat limits, AI usage, and feature availability should be confirmed with Lokalise.
* Pricing is for reference only; see the official site for current pricing.
Keep localization aligned with new keys, product copy, and software releases.
Link source-code changes and delivery pipelines to translation workflows.
Use Figma and visual context to identify text overflow and design issues early.
Automate the movement of localized strings across Web, mobile, and game products.
Trigger translation from code changes and ship localized Web, iOS, and Android releases continuously.
Preview translated layouts in Figma and catch text overflow or visual issues before launch.
Manage copy keys across products and keep multilingual text consistent through automation.
Quick start
Import keys with a naming convention decided up front; renaming keys after translators start work breaks their history.
Turn on the Figma preview before writing strings, so long labels show up as overflow instead of shipping broken.
Keep the GitHub sync on a separate branch and merge translations with a review, not straight to main.
Pro tip
Core tip: do not translate every key, tag them. Screenshots and descriptions attached to keys decide whether translators can choose the right word; without them the same English term gets three different translations. Push context first, then enable machine pre-translation for the strings that repeat.
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