What Nitter was to Twitter and Invidious is to YouTube, Lingva Translate is to Google Translate: a privacy front-end delivering the service's full capability while cutting Google out of the loop between you and your text. Built on Next.js with TypeScript and Chakra UI, it uses the purpose-built Lingva Scraper to fetch translations from Google Translate without your browser ever touching a Google-related service - no cookies, no tracking, no account, while retaining what makes Google Translate hard to give up: 100+ languages with the translation quality of Google's production models, unlike offline engines that trade privacy for accuracy. The clean interface covers automatic source-language detection, text-to-speech audio playback for pronunciations, definitions and examples, and light/dark themes. For developers, every instance doubles as a translation API: a RESTful endpoint at /api/v1/:source/:target/:query returns JSON translations, an audio endpoint serves TTS buffers, and a full GraphQL API at /api/graphql exposes translations, audio, and language lists for richer integrations - all unmetered on your own instance. Deployment is a single stateless container with one environment variable for the site domain; defaults for theme and language pair are configurable. GPL-licensed, and popular as the translation backend for privacy-respecting apps.

Machine translation with no Google, no Azure, no per-character billing, and no text leaving your infrastructure: LibreTranslate is a free, open-source translation API that runs entirely on your own server. The engine underneath is Argos Translate, which runs OpenNMT neural models with SentencePiece tokenization and Stanza sentence-boundary detection, all offline. Models install as portable .argosmodel packages covering dozens of languages - English, Spanish, French, German, Chinese, Japanese, Russian, Arabic, Hindi, Portuguese, and many more - and Argos handles automatic pivoting: with es-to-en and en-to-fr installed, it chains them to translate es-to-fr without a direct model. The API is a straightforward HTTP POST to /translate with source and target language codes, returning JSON - simple enough that the ecosystem has clients in every major language and integrations across tools like Weblate and Mastodon. Beyond plain text it translates HTML while preserving markup and handles whole file uploads (documents in, translated documents out), plus automatic language detection when the source is unknown. A clean bundled web UI serves interactive translation for end users, and optional API keys with rate limits control access. AGPL-licensed and trainable with custom models, it is the standard answer when translation must be private, unmetered, and self-contained - GDPR-sensitive text never touches a third party.