Lingotek
Accelerating global growth through the industry's most integrated cloud-based Translation Management System.
Enterprise-grade Neural Machine Translation for High-Volume Localization Workflows
Lecto AI is a robust Neural Machine Translation (NMT) aggregator and localization middleware designed for high-throughput enterprise environments. As of 2026, it distinguishes itself by offering a unified API gateway that intelligently routes requests through multiple state-of-the-art engines including DeepL, Google Cloud Translate, and Microsoft Translator, while maintaining strict structure for complex file formats like JSON, HTML, and Markdown. The platform is architected for developers who require deterministic translation outputs where the original code structure or markup remains untouched. Its position in the 2026 market is centered on 'Translation Reliability'—ensuring that localized content for mobile apps, web platforms, and large-scale e-commerce inventories maintains contextual accuracy and technical integrity without manual intervention. Lecto AI addresses the 'translation-at-scale' problem by providing a high-concurrency infrastructure that supports batch processing of massive datasets, making it a preferred choice for companies automating their CI/CD localization pipelines and real-time customer support translation across global regions.
Algorithmically isolates text nodes within JSON, HTML, and XML to ensure nested code logic and attributes are not translated or corrupted.
Accelerating global growth through the industry's most integrated cloud-based Translation Management System.
Enterprise-grade Neural Machine Translation with local data residency and 100+ language support.
The industry-standard multi-engine translation aggregator for professional linguistic benchmarking.
Enterprise-grade neural machine translation via unified API and batch file processing.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
An intelligent routing layer that selects the best-performing NMT engine based on the specific language pair and domain context.
Asynchronous handling of large-scale CSV and XLSX files, allowing for background processing of millions of rows.
Injects custom brand terminology into the NMT stream to maintain consistent brand voice across all languages.
High-accuracy Bayesian classification for 100+ languages to automatically route incoming text without metadata.
A full-featured testing environment to validate JSON outputs before committing to character usage.
Internal UI for manual verification and adjustment of machine-translated strings.
Developers need to translate React/i18next JSON files without breaking code keys.
Registry Updated:2/7/2026
Commit to GitHub.
Translating 50,000+ SKU descriptions across multiple regional marketplaces.
Keeping Zendesk/Intercom articles synced across 10 languages automatically.