Extracted AI is a web-based application designed to convert short-form cooking videos from platforms like TikTok, YouTube Shorts, and Instagram Reels into structured, readable recipes. Owais and his team worked on shaping a solution to address a growing usability gap in social-first food content, where visually engaging videos lacked clear ingredient lists, measurements, and step-by-step instructions. Analysis of user behavior showed that viewers frequently struggled to recreate dishes accurately, relying on repeated rewatches, manual note-taking, and guesswork due to the unstructured and fast-paced nature of video content.
The platform automates video analysis by extracting captions, metadata, and visual cues, then applying AI models to normalize ingredients, infer quantities, and generate clear cooking steps. Owais and his team emphasized transparency and usability by introducing real-time progress tracking during extraction and parsing, alongside multi-platform support for scalability. The result was a highly efficient workflow that reduced recipe capture time by 90%, delivered complete recipes in under a minute, and transformed entertainment-focused content into practical, reusable cooking instructions—bridging the gap between short-form media and real-world usability.