// What It Does
Accepts diverse visual media inputs and routes them through specialized deep-learning recognition pipelines, extracting structured digital text from handwriting, Braille, and Morse code symbols.
Execution Pipeline:
Image / Document Input Upload→Preprocessing (Grayscale, Thresholding, ROI Bounding)→Model Routing (EasyOCR for Printed / TrOCR for Handwriting)→Text Normalization & Transcription→React Interactive UI Preview
// Core Features
- ✓Transformer-based TrOCR inference for unconstrained handwriting
- ✓Printed document extraction powered by EasyOCR
- ✓Braille and Morse code symbol decoder pipelines
- ✓FastAPI asynchronous processing backend
// Technology Stack
Frontend UI
React.js
Vision & AI
FastAPI
TrOCR
// Architecture
01.Frontend: React.js UI
02.API: FastAPI Python Server
03.Inference Engine: TrOCR + EasyOCR Models
// Engineering Focus
- Computer vision pipeline integration with Python web APIs
- Handling raw image tensor processing in API routes with low latency
// Why I Built It
To decode multiple forms of human writing into accessible text using modern vision transformers.