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AI & Automation
XTM Cloud
XTM Cloud logo
AI & Automation

XTM Cloud

XTM Cloud is an enterprise-grade translation management system (TMS) and localization platform that combines human expertise with AI-powered automation to streamline multilingual content workflows. Designed for global enterprises, language service providers, and localization teams, it centralizes translation projects, manages terminology, and integrates with various content sources like websites, software, and documentation. The platform addresses challenges of scale, consistency, and speed in localization by automating repetitive tasks, providing real-time collaboration tools, and leveraging machine translation with human post-editing. It positions itself as a comprehensive solution for managing complex, high-volume translation projects across multiple languages and content types, helping organizations maintain brand voice and quality while accelerating time-to-market for global content.

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📊 At a Glance

Pricing
Paid
Reviews
No reviews
Traffic
≈150K visits/month (public web traffic estimate, Similarweb, Q4 2024)
Engagement
0🔥
0👁️
Categories
AI & Automation
Personal Agents

Key Features

AI-Powered Translation Suggestions

Integrates machine translation engines (like DeepL, Google Translate, Microsoft Translator) directly into the translator's workbench to provide instant draft suggestions, which can be edited and refined by human translators.

Real-Time Collaborative Workbench

Provides a cloud-based, browser-accessible editor where multiple translators and reviewers can work on the same project simultaneously, with live updates, comments, and change tracking.

Advanced Translation Memory & Terminology Management

Maintains a centralized database of previously translated segments (translation memory) and approved terms (termbases) to ensure consistency and reuse across projects and over time.

Extensive Ecosystem Integrations

Connects seamlessly with a wide array of content sources and business tools via connectors and a robust REST API, including CMSs (WordPress, Drupal), code repositories, design tools, and CAT tool formats.

Comprehensive Analytics & Business Intelligence

Delivers detailed dashboards and reports on project progress, translator productivity, costs, quality metrics, and ROI of translation memory and machine translation usage.

Pricing

Starter / Basic

contact sales
  • ✓Core TMS functionality with web-based workbench
  • ✓Basic translation memory and terminology management
  • ✓Standard file format support
  • ✓Limited user seats
  • ✓Email support

Professional / Team

contact sales
  • ✓All Starter features
  • ✓Advanced workflow automation
  • ✓Enhanced API access and more integrations
  • ✓Higher limits on users, projects, and translation memory
  • ✓Priority support
  • ✓More comprehensive reporting and analytics

Enterprise

custom
  • ✓All Professional features
  • ✓Unlimited customization and white-labeling
  • ✓SLA guarantees
  • ✓Dedicated account management and 24/7 support
  • ✓Advanced security features (SSO, audit logs)
  • ✓On-premise or private cloud deployment options
  • ✓Compliance support (GDPR, ISO, etc.)

Traffic & Awareness

Monthly Visits
≈150K visits/month (public web traffic estimate, Similarweb, Q4 2024)
Global Rank
##150,283 global rank by traffic, Similarweb estimate
Bounce Rate
≈42% (Similarweb estimate, Q4 2024)
Avg. Duration
≈00:03:15 per visit, Similarweb estimate, Q4 2024

Use Cases

1

Software and App Localization

Development teams use XTM Cloud to manage the translation of user interfaces, help documentation, and marketing materials for software applications. By integrating with code repositories (like GitHub) and using continuous localization workflows, they can push new strings for translation as soon as they are committed, ensuring the app is ready for simultaneous global release. This accelerates time-to-market and maintains consistency across all language versions.

2

E-commerce Website Globalization

E-commerce companies with international storefronts use XTM to localize product descriptions, category pages, checkout flows, and marketing content. Connectors to platforms like Shopify or Magento allow product catalogs to be synchronized for translation. The system ensures brand terminology is consistent across thousands of SKUs and multiple languages, directly impacting conversion rates in different regional markets.

3

Enterprise Documentation & Knowledge Base Translation

Large corporations translate technical manuals, internal policies, training materials, and customer support knowledge bases. XTM's translation memory ensures repetitive legal or technical phrases are translated consistently. Project managers can handle massive volumes of documentation, assigning different sections to specialized translators and managing complex review cycles involving subject matter experts across the organization.

4

Marketing & Creative Content Localization

Marketing agencies and global brand teams localize campaigns, advertisements, social media content, and video subtitles. XTM helps manage the adaptation of creative messaging, not just direct translation, by facilitating collaboration between translators, copywriters, and regional marketers. The platform handles diverse file types (InDesign, HTML, SRT) and maintains version control for iterative campaign updates.

5

Language Service Provider (LSP) Operations

LSPs use XTM Cloud as their core production platform to manage client projects, a distributed freelance translator workforce, and quality assurance processes. Its automation features help quote projects, assign work based on linguist expertise, automate invoice generation, and provide transparent progress reporting to clients, increasing operational efficiency and scalability for the agency.

How to Use

  1. Step 1: Sign up for an account on the XTM Cloud website and log into the web-based dashboard, which serves as the central project management interface.
  2. Step 2: Configure your project settings by defining source and target languages, setting up translation memories, and establishing terminology databases (termbases) for consistency.
  3. Step 3: Import content for translation through direct integrations (like CMS connectors), API uploads, or manual file uploads in supported formats (DOCX, XLIFF, HTML, JSON, etc.).
  4. Step 4: Assign tasks to translators, reviewers, and project managers within the platform, using its workflow engine to define sequential or parallel steps like translation, editing, proofreading, and final approval.
  5. Step 5: Translators work within the XTM Workbench, an online editor that provides context, suggests matches from translation memory, and can integrate machine translation for initial drafts, with quality assurance checks running automatically.
  6. Step 6: Review and approve translations through the collaborative interface, where stakeholders can add comments, request changes, and track version history.
  7. Step 7: Export the finalized translations back to the original format or push them directly to connected systems via integrations, completing the localization cycle.
  8. Step 8: Analyze project metrics, costs, and productivity reports from the dashboard to optimize future workflows and resource allocation.

Reviews & Ratings

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At a Glance

Pricing Model
Paid
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