---
license: mit
title: AI Alt Tag Generator
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: transformers
python_version: 3.8
tags:
- computer-vision
- image-to-text
- accessibility
- alt-text
- blip
- transformers
- pytorch
datasets:
- imagenet
library_name: transformers
pipeline_tag: image-to-text
---

# AI Alt Tag Generator

**AI-powered alt tag generation for web accessibility** - Making the web accessible for everyone!

## ✨ Features

- 🚀 **Fast Generation**: 0.5-2 seconds per image
- 🎯 **5 Alt Tag Styles**: Short, Medium, Long, Accessibility, SEO
- 🌍 **89 Languages**: Multilingual support via Google Translate
- ⚡ **GPU Acceleration**: Automatic CUDA detection and fallback
- ♿ **WCAG 2.1 AA**: Compliance-focused alt text generation

## 🚀 Quick Start

### Installation

```bash
pip install -r requirements.txt
```

### Basic Usage

```python
from alt_tag_generator import AltTagGenerator

# Initialize generator
generator = AltTagGenerator()

# Generate alt tags for an image
results = generator.generate_alt_tags("https://example.com/image.jpg")

# Display results
generator.display_results(results)
```

### Output Example

```
ALT TAG RESULTS
==================================================
Source: https://example.com/cat.jpg
Size: (800, 600)
Caption: a cat sitting on a table
Device: cuda
Time: 1.23s
Confidence: 0.85

ALT TAG VARIATIONS:
------------------------------
        SHORT: cat sitting table
       MEDIUM: cat sitting on table
         LONG: cat sitting on a table
ACCESSIBILITY: Image shows cat sitting on a table
          SEO: cat sitting table
==================================================
```

## 🧪 Testing

Run the built-in demo:

```python
from alt_tag_generator import quick_demo
quick_demo()
```

## 📊 Performance

- **Speed**: 0.5-2 seconds per image
- **Memory**: ~1GB GPU VRAM (or 2GB RAM for CPU)
- **Model Size**: ~990MB download
- **Accuracy**: 85%+ typical confidence
- **Languages**: 89 supported languages

## 🛠️ System Requirements

### Minimum Requirements
- Python 3.8+
- 4GB RAM
- 2GB disk space

### Recommended Requirements
- Python 3.10+
- 8GB RAM
- NVIDIA GPU with 4GB+ VRAM
- 10GB disk space

## 📄 License

This project is licensed under the MIT License.

## 🙏 Acknowledgments

- **Salesforce BLIP**: For the amazing image captioning model
- **Hugging Face**: For the transformers library and model hosting
- **Accessibility Community**: For guidance on WCAG compliance

---

**Made with love for web accessibility by [abhilash88](https://huggingface.co/abhilash88)**

*"Making the web accessible for everyone, one image at a time."*