Pestle uses on-device machine learning to quickly process and import recipes from Instagram Reels and other sources2. This approach allows for faster processing times and maintains control within the app, addressing concerns over processing time, privacy, and potential downtime from third-party services like OpenAI's ChatGPT.
Pestle's new feature processes Instagram Reels using on-device machine learning, which quickly extracts and saves the recipe from the video. This approach ensures faster processing times while maintaining control within the app and addressing privacy concerns. To use the feature, users share an Instagram Reel with Pestle, similar to saving recipes from the web6.
The original purpose behind creating the Pestle app was to address the problem of finding recipes on the web that were often cluttered with ads and long stories, making it difficult to locate the actual recipe. Pestle aimed to provide a solution for saving and organizing recipes from the web, making it easier for users to plan meals, create shopping lists, and share recipes with others.