Translized vs XTM Cloud Detailed comparison features, price

Translized

Translized delivers a powerful translation management system designed specifically for software localization needs. The platform combines machine learning capabilities with human translation workflows to enable seamless localization of applications, websites, and games across multiple languages.

Through its extensive developer toolkit including REST API, CLI, mobile SDKs, and webhooks, Translized automates the entire localization pipeline while maintaining high translation quality through features like Translation Memory, term tagging, and built-in quality assurance checks.

XTM Cloud

XTM Cloud is a comprehensive Translation Management System (TMS) specifically designed for enterprises seeking to streamline their global content delivery. It provides a robust platform for managing localization processes efficiently and at scale. The system focuses on automating workflows, ensuring consistent translation quality across numerous languages, and centralizing valuable localization assets like translation memories and terminology databases.

Leveraging Artificial Intelligence, XTM Cloud enhances translation speed and contextual accuracy. It offers seamless integration capabilities with over 50 connectors for various content management systems (CMS), marketing automation platforms, e-commerce solutions, and developer tools, creating a fully connected localization ecosystem. Furthermore, its advanced reporting tools provide actionable insights into project costs, timelines, quality metrics, and overall return on investment, enabling data-driven decision-making for localization strategy optimization.

Pricing

Translized Pricing

Freemium

From $36

Translized offers Freemium pricing with plans starting from $36 per month .

XTM Cloud Pricing

Free Trial

XTM Cloud offers Free Trial pricing .

Features

Translized

Translation Management: Support for 75+ languages with manual and machine translation options
Developer Tools: REST API, CLI, mobile SDKs, and webhook integration
Over-the-Air Updates: Direct translation updates for mobile applications
Quality Assurance: Built-in translation verification and quality checks
Collaboration Tools: Team workflows with comments and notifications
Translation Memory: Smart reuse of previous translations
Integration Options: Connects with Figma, GitHub, GitLab, and Slack

XTM Cloud

AI-Powered Localization: Utilizes secure AI tools for faster, contextually accurate translations and enhanced translation memory.
Workflow Automation: Enables customization and automation of localization workflows with reusable templates for enterprise scale.
System Integration: Offers 50+ integrations for CMS, marketing automation, PIM, CCMS, design tools, developer tools, and more.
Advanced Reporting & Analytics: Provides real-time insights into costs, timelines, quality, team performance, and ROI.
Translation Memory (TM) & Terminology Management: Maximizes reuse of previous translations and centralizes terminology.
Quality Assurance: Features built-in Linguistic Quality Assurance (LQA) and QA tools for consistent quality checks.
Multi-Language Support: Manages content translation in over 800 languages.
Centralized Asset Management: Provides a single location for managing all localization assets.

Use Cases

Translized Use Cases

Mobile app localization
Website translation
Game localization
Software internationalization
Enterprise content translation
Development team collaboration
Global market expansion

XTM Cloud Use Cases

Automating enterprise-wide translation and localization workflows.
Managing multilingual content delivery for global marketing campaigns.
Ensuring brand voice and terminology consistency across different languages.
Integrating localization processes into existing content creation and software development pipelines.
Reducing translation project turnaround times and operational costs.
Optimizing localization ROI through detailed performance tracking and analytics.
Scaling localization operations efficiently to meet global demands.
Centralizing translation memory and terminology for improved consistency and savings.