
Automate and scale your localization workflows with an AI-powered platform designed for translation and product teams.
Intelligently connect your content ecosystem, translate in your brand voice, and deploy across all markets continuously.
Top AI for Writing, Translation & Localization picks
See all 80 AI for Writing, Translation & Localization tools →For writing and translation professionals managing complex projects, Lokalise is one of the best AI platforms. It excels by integrating directly into development and design workflows (e.g., GitHub, Figma), automating everything from content pulling to QA. Its use of 'Custom AI Profiles' ensures translations remain on-brand, making it a powerful hub for scaling enterprise localization.
Your workflow, automated
Before & After
Managing translations with spreadsheets and ad-hoc tools.
Weeks-long release delaysA unified, automated localization pipeline for all content.
Continuous global deploymentTry it with these prompts
Copy any prompt and paste it directly into the tool.
Translate the following marketing copy into [Target Language] for the [Target Region] market. Ensure the tone is [Desired Tone] and incorporates [Key Product Features] to resonate with [Target Audience]. Maintain brand c…
Localize these UI strings for the upcoming [App Name] version [App Version] update into [Target Languages]. Pay close attention to character limits for [Specific UI Elements, e.g., buttons, labels] and ensure technical t…
Adapt the content from our [Source URL] webpage for the [Target Country] market. Focus on cultural nuances and local relevance for [Specific Product/Service]. Ensure all calls to action are appropriate for the [Target Co…
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Inside Lokalise

Captured by Zekai from the live Lokalise interface during review.
Works with your existing stack
How it compares
Lokalise vs. Smartling: Both are powerful, enterprise-focused translation management systems. Choose Lokalise for its modern, developer-centric approach, with deep, intuitive integrations into tools like Figma and GitHub, making it ideal for agile tech companies prioritizing continuous localization. Opt for Smartling if your organization requires more extensive, traditional language service provider (LSP) management features and a heavier focus on full-service translation solutions alongside the platform. Lokalise feels more like a SaaS tool for internal teams, while Smartling often caters to companies outsourcing translation to agencies.
Is it worth it?
Why Writing, Translation & Localization choose this tool
Key Use Cases
Lokalise is a powerful, enterprise-grade platform that excels at integrating localization directly into the development pipeline. Its AI-driven workflows and quality control significantly reduce manual effort, though the feature set and pricing are geared towards larger, mature teams rather than individual translators.
Frequently asked questions
How does Lokalise ensure translation quality with AI?
Can I use my own translators with Lokalise?
What kind of tools does Lokalise integrate with?
Is Lokalise suitable for individual freelance translators?
What is the best AI platform for a company's entire localization workflow?
How can AI help automate my software translation process?
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Take it with you
- What is Lokalise & Who is it for?
- Key Features: AI Workflows, Integrations, and QA
- Understanding the Dashboard: Projects, Keys, and Teams
- Choosing the Right Plan: Explorer vs. Advanced
- Best Practices for Brand Consistency
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About Lokalise
Full Description
Lokalise is an AI-powered localization platform for writing and translation professionals. It centralizes content workflows, automates translation using AI tuned to your brand voice, and integrates with development tools to streamline software, web, and mobile app localization.
Editorial Verdict
Lokalise is a powerful, enterprise-grade platform that excels at integrating localization directly into the development pipeline. Its AI-driven workflows and quality control significantly reduce manual effort, though the feature set and pricing are geared towards larger, mature teams rather than individual translators.
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