Phrase

Phrase

An enterprise AI localization platform connecting development, design, and translation workflows

Translation & LocalizationLocalizationTranslation ManagementSoftware StringsPaid only

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

2026-09-03

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.

Phrase
phrase.com

Key Features

  • String localization

    Manage software strings and multilingual product content across release cycles.

  • Developer integrations

    Bring source code, design context, and project workflows into localization operations.

  • Translation assets

    Use translation memory and visual CAT assistance to improve consistency and speed.

  • Release workflows

    Automate translation stages and coordinate multilingual content releases.

Best For

Global software and app teams

Extract UI copy and code strings, coordinate multilingual translation, and ship localized releases with development tools.

Global enterprises and localization teams

Manage translation memory, terminology, and AI pre-translation across documents and marketing content.

Pros

  • Built for enterprise software localization
  • Connects development, design, and translation workflows
  • Supports translation memory and AI pre-translation

Considerations

  • Advanced enterprise plans require custom pricing
  • Costs can be high for smaller teams
  • Effective use requires structured localization processes

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