Inspiration
Mobile photo apps like apple and google photos have had the ability to search your photo library by text that is displayed in the image, but we noticed that this feature was lacking on desktop computer operating systems.
What it does
It allows to search through the images in a directory and retrieve the images who's text most closely matches a fuzzy search query provided by the user
How we built it
We used python and google's TesseractOCR package for scraping the text from the images. The front-end is built with React.js and Sass.
Challenges we ran into
We were too hesitant on ideas, which costed us time on developing our application. Time management and organization was a challenge. Finally, React was a lot to learn in such little time.
Accomplishments that we're proud of
Created a working algorithm to find and return an image path closest resembling what the user inputted, and created a working GUI system that links the front-end and back-end together.
What we learned
We learned how to develop front-end in React and learned how to use Python OCR APIs.
What's next for Fetch
Next we will develop an SQL Database for our images and create a more efficient algorithm for faster image analysis.


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