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An end-to-end AI language and localization platform connecting automation with global linguists
An enterprise AI localization platform connecting development, design, and translation workflows
Phrase is an enterprise language and software localization platform combining translation management, string localization, and AI machine translation. It connects tools such as GitHub, Figma, and Jira with CAT assistance, translation memory, and automated workflows.
Updated
2026-10-22
Platforms
Web / API / GitHub / Figma / Jira
Paid
A 14-day free trial is available.Freelancer: approximately $27/month for individual translators.Starter / Team: about $135/month for entry plans, with team plans around $1,045–$1,245/month.Business / Enterprise: advanced concurrency and workflows with custom pricing based on business needs. Current seats, modules, usage limits, and billing terms should be confirmed with Phrase.
* Pricing is for reference only; see the official site for current pricing.
Manage software strings and multilingual product content across release cycles.
Bring source code, design context, and project workflows into localization operations.
Use translation memory and visual CAT assistance to improve consistency and speed.
Automate translation stages and coordinate multilingual content releases.
Extract UI copy and code strings, coordinate multilingual translation, and ship localized releases with development tools.
Manage translation memory, terminology, and AI pre-translation across documents and marketing content.
Organize client projects, reusable translation assets, and review workflows in one localization system.
Quick start
Import strings with keys and context from day one; retrofitting context later forces re-translation of finished languages.
Lock approved glossary terms before enabling machine translation, or pre-translation overwrites your brand wording.
Route new locales through a separate workflow with its own reviewer instead of reusing the main-language approver.
Pro tip
Core tip: translation memory quality decides cost more than the engine. Old fuzzy matches keep resurfacing in new files, so clean or expire low-scoring memory before a big release. Check locale variants separately, since a regional setting can silently fall back to the base language.
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