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AI Translation🟡Low Code
P

Phrase

AI-enhanced translation management system that streamlines localization workflows with automated translation, collaboration tools, and quality assurance

Starting at$25/user/month
Visit Phrase →
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In Plain English

AI-enhanced translation management system that streamlines localization workflows with automated translation, collaboration tools, and quality assurance

OverviewFeaturesPricingGetting StartedUse CasesIntegrationsLimitationsFAQSecurityAlternatives

Overview

Phrase is an AI-powered localization and translation platform designed to help enterprises, product teams, and language service providers manage multilingual content at scale. Built around a unified Phrase Localization Suite, the platform combines a translation management system (TMS), computer-assisted translation (CAT) editor, AI-driven machine translation orchestration, terminology management, and quality assurance tooling into a single ecosystem. Its core promise is to accelerate time-to-market for multilingual products by automating repetitive translation tasks while maintaining human-level quality where it matters most.

Phrase serves over 500 enterprise customers across 50+ countries, processing more than 100 million words per month through its platform. Companies including Shopify, Uber, Decathlon, Puma, and Buffer rely on Phrase to localize their applications, websites, and marketing content into dozens of languages. The platform supports over 500 file formats and integrates with 50+ tools across the development, design, and content management ecosystem, making it one of the most broadly connected localization platforms available.

The platform is architected around two complementary products. Phrase Strings handles software and app localization with developer-centric features like Git integration, CLI tooling, branching of translation keys, and over-the-air (OTA) mobile SDKs that push translation updates to iOS and Android apps without requiring app store resubmission. Phrase TMS manages enterprise content and document translation workflows with linguist and vendor management, project automation, and quality assurance checks. Both products share a common translation memory, terminology management layer, and AI orchestration engine called Phrase Language AI.

Phrase Language AI is the platform's differentiating technology layer. It automatically selects the best-performing machine translation engine for each language pair and content type from providers including DeepL, Google, Amazon, and Microsoft, then applies glossary enforcement, formatting preservation, and quality estimation scoring. The Quality Performance Score (QPS) predicts translation quality per segment, enabling teams to auto-publish high-confidence machine translations and route only lower-confidence segments to human linguists — reducing costs by up to 90% on suitable content types while maintaining quality thresholds.

For development teams, Phrase offers a comprehensive API-first architecture with a REST API, CLI, webhooks, and native integrations with GitHub, GitLab, Bitbucket, Azure DevOps, Jenkins, and CI/CD pipelines. Design teams benefit from plugins for Figma, Sketch, and Adobe XD that enable in-context translation directly from design files. Content teams connect through integrations with WordPress, Contentful, Drupal, and Adobe Experience Manager. This breadth of integration ensures localization can be embedded into existing workflows rather than requiring teams to adopt entirely new processes.

Phrase holds ISO 27001 and SOC 2 Type II certifications, is fully GDPR-compliant, and offers regional data hosting in the EU and US. It supports SSO, SAML, MFA, role-based access controls, and audit logging, making it suitable for regulated industries including automotive, financial services, and healthcare. Founded in 2014 in Hamburg, Germany (originally as PhraseApp), the company has grown to 200-500 employees and serves as a strategic localization partner for organizations scaling their global presence.

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Editorial Review

Phrase excels as a developer-centric translation management platform that seamlessly integrates localization into software development workflows. Used by over 500 enterprise customers including Shopify, Uber, Decathlon, and Puma, the platform processes more than 100 million words monthly and supports 50+ integrations across development, design, and content management tools. While pricing can be high for small teams, the developer experience and automation capabilities — particularly the AI-driven MT orchestration that can reduce translation costs by up to 90% on suitable content — justify the investment for companies serious about global expansion.

Key Features

Phrase Language AI+

AI orchestration layer that automatically selects the best MT engine per language pair and content type, with built-in glossary enforcement, formatting preservation, and Quality Performance Score (QPS) to estimate translation quality before human review.

Phrase NextGenMT and Next MT+

Proprietary translation models combining large language model reasoning with neural MT for context-aware, fluent output tailored to localization use cases, with support for custom MT engine training on customer data.

Phrase Strings (software localization)+

Developer-focused product with REST API, CLI, GitHub/GitLab/Bitbucket integrations, branching of translation keys, in-context editor, and over-the-air SDKs for iOS and Android to ship translation updates without app resubmission.

Phrase TMS+

Enterprise translation management system with linguist and vendor workflows, project automation, translation memory, terminology management, and detailed quality assurance checks for content, documents, and marketing assets.

Phrase Orchestrator+

No-code automation builder for designing end-to-end localization workflows that connect CMSs, marketing tools, MT engines, and human review steps with triggers, conditions, and routing rules.

Phrase Analytics+

Dashboards and reports on MT quality, post-editing effort, linguist productivity, vendor performance, cost per language, and project throughput, enabling data-driven optimization of localization spend.

Design and collaboration integrations+

Native plugins for Figma, Sketch, and Adobe XD let designers send copy for translation in context, while in-app screenshots and previews give linguists visual context for accurate translations.

Pricing Plans

$0

    $25/user/month

      From $300/month (base, scaling with users and volume)

        Custom quote (typically $1,000–$5,000+/month depending on volume, users, and modules)

          See Full Pricing →Free vs Paid →Is it worth it? →

          Ready to get started with Phrase?

          View Pricing Options →

          Getting Started with Phrase

          1. 1Sign up for a free 14-day trial at phrase.com and create your first project
          2. 2Connect your code repository or upload translation files to start organizing content
          3. 3Invite team members, set up workflows, and configure integrations with your development tools
          Ready to start? Try Phrase →

          Best Use Cases

          đŸŽ¯

          Software and SaaS companies needing continuous localization of UI strings synced with GitHub/GitLab and CI/CD pipelines

          ⚡

          Mobile app teams pushing iOS and Android translation updates over the air without app store resubmission

          🔧

          Global marketing and e-commerce teams localizing websites, campaigns, and product content across 50+ languages with mixed MT and human workflows

          🚀

          Language service providers (LSPs) managing linguist teams, vendors, and client projects with detailed analytics and quality scoring

          💡

          Enterprises consolidating fragmented translation spend by centralizing TMS, MT orchestration, and terminology on one compliant platform

          🔄

          Product design teams collaborating in Figma or Sketch and handing off localized copy directly from design files

          Integration Ecosystem

          28 integrations

          Phrase works with these platforms and services:

          View full Integration Matrix →

          Pros & Cons

          ✓ Pros

          • ✓Phrase Language AI automatically selects the best-performing MT engine per language pair and content type, supported by quality estimation scoring that flags which segments need human review
          • ✓Strong developer ecosystem with REST API, CLI, GitHub/GitLab/Bitbucket integrations, mobile OTA SDKs, and design-tool plugins (Figma, Sketch, Adobe XD) for continuous localization
          • ✓Unified suite covers both software string localization (Phrase Strings) and document/content translation workflows (Phrase TMS) under one account, reducing tool sprawl
          • ✓Enterprise-grade security posture with ISO 27001, SOC 2 Type II, GDPR compliance, SSO, and regional hosting options suitable for regulated industries
          • ✓Rich collaboration features including in-context previews, screenshot-based review, translation memory, terminology management, and branching workflows for translation keys
          • ✓Extensive analytics and reporting on linguist productivity, MT quality, post-editing effort, vendor performance, and cost per language

          ✗ Cons

          • ✗Enterprise pricing is opaque and quote-based for advanced tiers, making cost planning difficult for mid-market teams without sales engagement
          • ✗The platform's breadth — TMS, Strings, Language AI, Orchestrator — can feel overwhelming to new users, with a learning curve for administrators and linguists
          • ✗Some advanced features such as custom MT engines, Phrase NextGenMT, and Orchestrator workflows are gated to higher-tier plans, limiting entry-level usefulness
          • ✗Users report occasional performance lag with very large projects or translation memories, and editor UI quirks compared to lighter-weight competitors like Lokalise
          • ✗Migration from legacy TMS tools or consolidating between Phrase TMS and Phrase Strings can require professional services and careful project planning

          Frequently Asked Questions

          What is the difference between Phrase TMS and Phrase Strings?+

          Phrase TMS is the enterprise translation management system focused on document, marketing, and content workflows with linguist and vendor management, while Phrase Strings (formerly PhraseApp) is purpose-built for software localization with developer integrations, CI/CD support, branching, and mobile OTA updates. Both are part of the Phrase Localization Suite and can be used together.

          Which machine translation engines does Phrase support?+

          Phrase Language AI integrates with major providers including DeepL, Google, Amazon, Microsoft, and others, automatically routing content to the best-performing engine. It also offers Phrase Next MT (a custom neural MT model) and Phrase NextGenMT, which combines LLMs with neural MT for higher-quality, context-aware output.

          Does Phrase offer a free plan or trial?+

          Phrase offers free trials across its products and a limited free tier for small projects on Phrase Strings. Paid plans scale up through team, business, and enterprise tiers, with Phrase TMS and advanced Language AI features typically requiring a paid subscription or custom quote.

          How does Phrase integrate with development workflows?+

          Phrase provides a REST API, CLI, webhooks, and native integrations with GitHub, GitLab, Bitbucket, Azure DevOps, Jenkins, Android Studio, Xcode, Figma, Sketch, and Adobe XD. Teams can automate string syncing, branch translations alongside code, and push updates to mobile apps over the air without resubmitting to app stores.

          Is Phrase suitable for enterprise compliance requirements?+

          Yes. Phrase is ISO 27001 and SOC 2 Type II certified, GDPR-compliant, and supports SSO, role-based access controls, audit logs, and regional data hosting in the EU and US. It is used by regulated enterprises in automotive, finance, and healthcare sectors.

          🔒 Security & Compliance

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          GDPR
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          HIPAA
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          SSO
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          On-Prem
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          RBAC
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          Audit Log
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          API Key Auth
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          Open Source
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          Encryption at Rest
          Unknown
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          Encryption in Transit
          Unknown
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          What's New in 2026

          Through 2025 and into 2026 Phrase has doubled down on generative AI in localization. Phrase NextGenMT combines large language models with neural MT to produce more fluent, context-aware translations, and Quality Performance Score (QPS) provides per-segment quality estimation so teams can auto-publish high-confidence MT and route lower-confidence segments to human linguists. Phrase Orchestrator has expanded as a no-code workflow builder connecting CMSs, MT engines, and review steps, which enables teams to build fully automated localization pipelines triggered by content changes in systems like Contentful or WordPress. Additional 2026 updates include enhanced analytics dashboards with cost-per-word tracking, expanded LLM-based terminology extraction, and improved Figma plugin capabilities for design-to-translation workflows.

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          Quick Info

          Category

          AI Translation

          Website

          phrase.com
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