Lingua.ly
Immersion-based language learning through real-world web content and context-aware SRS.
Master languages through immersive content and AI-driven vocabulary tracking.
LingQ is a data-centric language immersion platform designed around the principles of 'Comprehensible Input' and the 'Natural Order Hypothesis'. Its technical core revolves around a massive relational database that tracks every unique word (LingQ) across a user's library of imported content, including news articles, eBooks, and YouTube transcripts. By 2026, LingQ has evolved into a sophisticated AI-assisted reader, utilizing OpenAI's Whisper for high-fidelity audio transcription and LLMs for contextual translation and grammar explanation. Unlike linear courseware like Duolingo, LingQ operates as a Personalized Learning Environment (PLE), allowing users to create their own curriculum from any web source via browser extensions. The architecture supports 42+ languages and features a Spaced Repetition System (SRS) that synchronizes across web and mobile (iOS/Android) via a proprietary sync engine. Its market position is solidified as the go-to tool for intermediate to advanced learners who require 'authentic materials' rather than simulated dialogues. The platform's algorithm calculates 'known word' density within a text, providing users with a precise difficulty rating before they begin a lesson, significantly reducing cognitive load and maximizing acquisition efficiency.
Integration with OpenAI Whisper for converting uploaded audio files into timestamped text for reading.
Immersion-based language learning through real-world web content and context-aware SRS.
Hybrid language mastery through pedagogical technology and expert human oversight.
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
Accelerate Spanish and English mastery through Lingu, an adaptive AI tutor that personalizes every lesson.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Proprietary sync protocol that maintains word status (Known/Learning) across web, iOS, and Android clients in near real-time.
Regex-based text processing that strips HTML and boilerplate from web imports to isolate core content.
API-driven interface that queries multiple third-party dictionaries (Google, Reverso, DeepL) simultaneously.
Statistical analysis of text against the user's 'Known Word' database to generate a percentage of unknown words.
API connection to YouTube subtitles and metadata to import video content as text-audio lessons.
Distributed content management system where users share lessons, ensuring copyright compliance via automated filters.
Watching foreign films is too fast for intermediate learners to process vocabulary.
Registry Updated:2/7/2026
Audio-only content leaves learners without visual reinforcement of new words.
Reading physical books requires frequent, disruptive dictionary lookups.