A developer built LingoChunk to transform native language audio into Anki flashcards and shadowing exercises. The tool extracts words from audio, identifies their base forms (lemmas), and groups examples accordingly. It started as a personal hack for German and Greek studies but evolved into a more comprehensive solution.

The app leverages word-level timestamps to enable precise audio looping for shadowing practice. Users can select first and last words in a transcript to create custom repeat loops with adjustable gaps and counts. This granular control allows learners to focus on specific phrases and pronunciation patterns.

An AI integration feature lets users send audio fragments to generate grammar explanations or nuance breakdowns. The creator uses this for improving English pronunciation despite not being a native speaker. Currently supporting 15 input languages including experimental Japanese and Chinese, plus over 30 output languages.

The developer welcomes feedback and seeks public domain audio sources like LibriVox and Wikimedia for the demo page. They're also open to featuring creator recordings with proper attribution. The tool represents a practical approach to automated language learning material generation.