Unlimited and secure translation of text, HTML, files, audio for fixed price. Translate billions of characters per day.
Lingvanex offers on-premise server as annual or monthly subscription that includes free software updates. It can be deployed on customer PC or cloud hosting. On-premise solution is a good choice if you translate big blocks of data on regular basis. The more you translate the more you save in comparison to cloud based translation solutions. The price depends on number of languages.
Translate text, HTML, files (txt, PDF, MS Word, Excel, Powerpoint etc), audio in 109 languages with the best in class quality based on AI. Unlimited speech transcription is available in 19 languages (Arabic, Catalan, Chinese Simplified, English, French, German, Greek, Italian, Japanese, Kazakh, Persian, Portuguese, Russian, Spanish, Swedish, Tagalog, Turkish, Ukrainian, Vietnamese)
You need a computer with OS Ubuntu, 4 Core CPU, 16GB RAM and 100GB HDD.
Easy to deploy on a local PC, corporate intranet or extranet, cloud hosting. It supports unlimited user access, millions of translations per day, and seamlessly integrates with any business application and document workflow to help enterprises handle day-to-day multilingual challenges. It highly scalable and can be used in eCommerce, customer support, business intelligence, knowledge management, eDiscovery, and many other business.
Translation server works on-premise with no internet connection. It means that no one has access to your business data. Maximum security for the most demanding customers.
Fast and easy way to use machine translation.
We guarantee to users of our platform that all texts, pictures, audio files, documents are deleted immediately after the completion of a translation. We never store any translation data. GPDR and CCPA Compliant.
Integration into iOS, Android, Windows, Mac apps that allows to translate offline.
Translator for all devices and all situations.
Translate text and files with no internet connection
Software Sources Ltd is LingvaNex Reseller.
