Phrase
Cloud-based localization and translation platform with AI-powered workflow automation.
What is Phrase?
Phrase, formerly known as Memsource, is a cloud-based localization platform designed to unify and automate translation workflows for global businesses. It features an integrated Translation Management System (TMS) alongside dedicated software localization tools (Phrase Strings) that support internationalization (i18n). Utilizing advanced computer assisted translation tools, Phrase acts as a scalable world translator, helping teams connect with international customers. For teams exploring how good is AI at translating, the platform offers an integrated Language AI that connects seamlessly to leading machine translation engines, including DeepL, providing translation outputs alongside custom term bases and quality evaluation features.
Best Phrase use cases by task, role, industry, and platform
These use cases show where Phrase fits best, ranked by fit score before popularity or pricing.
Phrase Pricing Plans
Compare Phrase free options, Phrase paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Free Trial, Freelancer from $27/mo
Billed annually. 1 TMS Seat, no Strings Seats, basic product capacities.
Billed annually. Unlimited TMS Seats, 150 Strings Seats, basic product capacities.
Billed annually. Unlimited TMS Seats, 150 Strings Seats, increased product capacities.
Billed annually. Unlimited TMS Seats, 150 Strings Seats, increased product capacities.
Customized product capacities, SSO, Premium Success Plan, and custom onboarding.
Pricing updated:Jun 11, 2026
Phrase AI Features
Phrase Pros and Cons
Pros
- Centralized platform managing both document translation and software localization
- Includes a 14-day free trial across all subscription plans
- Strong integration ecosystem with over 50 tools (Figma, GitHub, Slack, CMS, etc.)
- Offers 24/7 technical support for all users
Limitations
- Enterprise features and custom integrations require higher-tier plans
- Pricing can be high for small teams or individual developers