A web app that converts handwritten notes to clean, typed PDFs using OCR technology. Simple, fast, and user-friendly—perfect for students, educators, and professionals.
A web application that converts handwritten notes into clean, editable typed PDFs. Users can upload images of handwritten text, which are processed using OCR to extract and format the content. The app then allows users to download the result as a neatly structured PDF.
Tech Stack: ReactJS, Tailwind CSS, Python, FastAPI
Key Features:
Upload handwritten note images
Extract text using OCR
Download as a typed PDF
Optional user authentication
We have implemented all core features of our web application, including image upload, OCR-based text extraction, and typed PDF generation. The app is built using ReactJS, Tailwind CSS, Python, and FastAPI. Currently, we have successfully extracted text from handwritten PDFs and generated clean, typed versions. A built-in chatbot is also integrated to answer user queries based on the extracted content. We plan to enhance the quality of the generated PDFs and improve the chatbot's response accuracy. A key feature pending implementation is the detection and inclusion of handwritten diagrams, which many notes often contain.
We are currently utilising a free LLM model(Gemini), which has certain limitations in response quality. To enhance the performance and reliability of our application, we aim to integrate a more advanced, paid LLM model(GPT4 costs 20$/month). For this purpose, we are seeking funding and looking for potential investors to support our initiative..