Spaces:
Sleeping
Sleeping
File size: 1,766 Bytes
fb477c2 7e31718 1fc9837 28fa4ff fb477c2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
---
title: Singtel Bill Scanner
emoji: π±
colorFrom: red
colorTo: red
sdk: streamlit
sdk_version: 1.28.0
app_file: app.py
pinned: false
tags:
- computer-vision
- ocr
- trocr
- bill-processing
- singtel
- document-ai
---
# Singtel Bill Scanner π±π‘
An AI-powered optical character recognition (OCR) system specifically designed for processing Singtel telecommunications bills.
## π Try the Live Demo
Upload your Singtel bill image and get instant results!
## Features
- π **Text Extraction**: Uses Microsoft TrOCR for accurate OCR
- π **Bill Parsing**: Extracts amounts, dates, account numbers
- β‘ **Fast Processing**: Real-time results
- π― **Singtel Optimized**: Tailored for Singtel bill formats
- π **Privacy First**: Images processed locally, not stored
## How to Use
1. πΈ Take a clear photo of your Singtel bill
2. π€ Upload the image using the interface above
3. π Click "Extract Information"
4. π View the extracted data
## Technical Details
- **Model**: Microsoft TrOCR (microsoft/trocr-base-handwritten)
- **Framework**: Streamlit + Hugging Face Transformers
- **Processing**: ~3-5 seconds per image
- **Accuracy**: High for clear, well-lit images
## Local Installation
```bash
git clone https://huggingface.co/spaces/Cosmo125/Singtel_Bill_Scanner
cd Singtel_Bill_Scanner
pip install -r requirements.txt
streamlit run app.py
```
## API Usage
```python
from transformers import pipeline
from PIL import Image
# Load model
pipe = pipeline("image-to-text", model="microsoft/trocr-base-handwritten")
# Process image
image = Image.open("bill.jpg")
result = pipe(image)
text = result[0]['generated_text']
```
Team members
Ninette
Zi Xuan
Sai
Kamal
---
_Created for the Singtel community with β€οΈ_
|