Crowdin vs LILT

Crowdin is a localization management platform founded in Ukraine in 2009 and now headquartered in Estonia. It is used by software companies, game studios and a long list of well-known open-source projects to translate apps, websites, documentation and help centers, and it offers both a standard cloud product and Crowdin Enterprise for larger organizations.

The platform supports more than a hundred file formats and syncs source strings automatically from GitHub, GitLab, Bitbucket and CI pipelines, from design tools like Figma, and from CMSs and help desks through a marketplace of over 600 apps. Translators work in an editor with translation memory, glossaries, screenshots, in-context preview, QA checks and machine translation from engines such as DeepL and Google, plus AI translation with your own prompts. Crowdsourcing features let volunteers suggest and vote on translations. Pricing combines hosted words and seats, and Crowdin is free for qualifying open-source projects.

Crowdin suits teams with many file types, many integrations or a community that wants to help translate. Its interface can feel dense, and hosted word limits need watching as content grows. Lokalise is the main commercial rival with a cleaner UI for product teams, Phrase is strong in enterprise and agency workflows, and open-source alternatives such as Weblate and Tolgee can be self-hosted. For website-only translation without code, Weglot is simpler.

LILT is an enterprise translation and localization platform from San Francisco, founded in 2015 by Spence Green and John DeNero, NLP researchers from Stanford and Berkeley. It began with adaptive machine translation that learns from each linguist edit and has since become an agentic AI platform that routes content through AI models and, where needed, human subject-matter experts. Customers include Canva, Intel, Lenovo and US defence agencies.

The platform is split into modules: Translate for projects, Assist for AI agents that automate review and workflows, Verify for accuracy checks, Connect for integrations and an MCP server that brings LILT translation into ChatGPT, Claude and Gemini. It connects to more than 100 systems such as Contentful, AEM, Salesforce and Zendesk, and can run LILT's own models or a customer's LLM. Certifications cover SOC 2 Type II, ISO 9001 and ISO 17100, with private, on-prem and air-gapped deployment. Business, Enterprise and Government plans are all quote-based.

LILT fits large companies and public bodies that translate high volumes of product, support and marketing content and need quality guarantees or strict data control. It has no self-serve plan or public pricing, so it is overkill for small sites. Smartling is a broader translation management system with a vendor marketplace, Phrase offers self-serve TMS tiers, and DeepL is the cheap option for raw machine translation without human review.

LILT raised a Series D in mid-2025. Buying tip: ask how human review is priced versus platform fees, since MCP usage is quoted separately.