Lingvanex Translator vs Localizely

Lingvanex Translator provides AI-driven translation for text, speech, video, documents, and instant messages. It is available on Android, iOS, macOS, Windows, and the web, with browser extensions and an API. Its All-in-One service describes translation in more than 100 languages; the listed language count is 109. Offline translation is described for 44 languages in the All-in-One plan, while the PC page describes offline use for 45 languages and limits offline documents to DOCX and ODT. Document tools support more than 20 formats, preserve formatting, and handle PDFs up to 500 MB and documents up to 5,000,000 characters. Desktop apps can translate selected text in other applications using keyboard shortcuts. Mobile apps support text, voice, images, and documents, plus pronunciation, history, and a phrasebook. Browser extensions translate webpages and selected text but do not work offline. All-in-One Translation costs $99.99 a year and includes unlimited text, voice, files, and websites. Core mobile and desktop features also have free access.

Localizely is a translation management system for mobile app, game, and website content. It combines AI and machine translation with professional translation orders, translation memory, glossaries, quality checks, screenshots, tasks, reports, and branching. Supported file types include Flutter ARB, Android XML, Apple strings, JSON, YAML, PO, XLIFF,.NET RESX, CSV, Excel, and TMX. Integrations include GitHub, GitLab, Bitbucket, Figma, AWS S3, an API, and a CLI. GitHub sync can retrieve localization files manually or through a webhook and return translations as a pull request. Its Flutter SDK can send translation updates over the air and provides in-context editing. Localizely is SaaS only, with no self-hosted option. The free plan includes one project and 250 hosted string keys. Starter is $16 a month when billed annually, or $19 per month when billed monthly; a 15-day trial is listed. The CLI runs on Linux, macOS, and Windows, and is also offered as a Docker image.