LILT vs POEditor

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.

POEditor is a web-based translation management system for software teams that need to localize apps, websites, games and marketing copy. It has been online since 2012, is run by Code Whale Inc., and says more than 4,000 customers use it. The workflow: import language files, let translators and volunteers work in a shared editor, then push finished translations back to the codebase.

The editor handles common formats such as Gettext PO/POT, JSON and i18next JSON, Flutter ARB, CSV and INI, plus mobile and XLIFF formats. Translation memory, glossaries, comments, tags and quality checks keep wording consistent. Automatic translation can use Google, Azure AI Translator or DeepL, and AI providers including OpenAI, Claude, Gemini and Amazon Bedrock can be connected. Pricing is based on the number of strings rather than seats: a free plan covers 1,000 strings, and paid plans run from Start to Enterprise.

POEditor suits small and mid-size product teams and open-source projects that want a cheap, low-ceremony way to crowdsource or manage translations. It is less polished for design-led workflows than Lokalise, has fewer enterprise workflow and vendor-management features than Phrase or Crowdin, and Localazy offers a more automated developer CLI experience.

Buying tip: estimate your string count across all target languages before picking a plan, because that number, not the size of your team, drives the price. The 10-day trial of paid features starts automatically with your first project, and every account gets 10,000 free automatic-translation characters.