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---
title: Arabic Transcriber Pro
emoji: 🗣️
colorFrom: green
colorTo: red
sdk: streamlit
sdk_version: 1.48.0
app_file: app.py
pinned: true
---
# 🎙️ Arabic Transcriber Pro
> **Convert Arabic speech to text with precision — powered by NVIDIA NeMo and Streamlit.**
> ✨ Live Demo: [https://huggingface.co/spaces/NightPrince/Arabic-ASR](https://huggingface.co/spaces/NightPrince/Arabic-ASR)
> 🔗 Portfolio: [https://nightprincey.github.io/Portfolio/](https://nightprincey.github.io/Portfolio/)
<div align="center">
<img src="https://img.shields.io/badge/Python-3.8%2B-blue?style=for-the-badge&logo=python" />
<img src="https://img.shields.io/badge/Streamlit-1.28.0+-orange?style=for-the-badge&logo=streamlit" />
<img src="https://img.shields.io/badge/NVIDIA%20NeMo-ASR%20Model-blueviolet?style=for-the-badge&logo=nvidia" />
<img src="https://img.shields.io/badge/Hugging%20Face-Spaces-FF4B4B?style=for-the-badge&logo=huggingface" />
<img src="https://img.shields.io/badge/License-MIT-green?style=for-the-badge" />
</div>
<br />
*Screenshot: Gloomy-elegant UI with real-time transcription and audio visualization*
---
## 🌟 Overview
**Arabic Transcriber Pro** is a sleek, AI-powered web application that converts spoken **Arabic audio** into accurate, readable text using **NVIDIA’s state-of-the-art NeMo ASR model**. Designed with a modern, **gloomy-elegant aesthetic**, this tool delivers fast, reliable transcription for podcasts, interviews, lectures, and more — all within a user-friendly Streamlit interface hosted on **Hugging Face Spaces**.
Built by **Yahya Alnwsany** — AI Engineer, NLP Specialist, and Hugging Face Ambassador — this project reflects a deep commitment to advancing Arabic NLP and making AI accessible for real-world applications.
🔗 **Live Demo**: [https://huggingface.co/spaces/NightPrince/Arabic-ASR](https://huggingface.co/spaces/NightPrince/Arabic-ASR)
👤 **Developer Portfolio**: [https://nightprincey.github.io/Portfolio/](https://nightprincey.github.io/Portfolio/)
---
## 🔧 Features
- ✅ **High-Accuracy Arabic ASR** using `nvidia/stt_ar_fastconformer_hybrid_large_pcd_v1.0`
- 🎧 **Multi-Format Support**: WAV, MP3, OGG, FLAC, M4A
- 🔄 **Auto Audio Conversion**: Resamples to 16kHz mono WAV for optimal model input
- ⚡ **Fast Processing** with real-time progress feedback
- 💾 **Downloadable Transcripts** in `.txt` format
- 🌐 **Web-Based UI** with Streamlit — no installation needed
- 🎨 **Elegant Dark Theme** with RTL-ready Arabic text rendering
- 📊 **Audio Metadata Display**: Duration, sample rate, channels
- 🚀 **Cached Model Loading** for improved performance
---
## 🖼️ UI Design Highlights
- **Color Palette**: Deep navy (`#0b132b`, `#1c2541`) with teal (`#5bc0be`) and coral (`#e55934`) accents
- **Typography**: Clean, modern sans-serif with RTL support
- **Interactive Elements**: Smooth progress bars, hover effects, and responsive layout
- **Responsive Cards & Gradient Headers** for professional feel
---
## 🛠️ Tech Stack
| Component | Technology |
|------------------|----------|
| Frontend | [Streamlit](https://streamlit.io) |
| ASR Engine | [NVIDIA NeMo](https://github.com/NVIDIA/NeMo) |
| Audio Processing | `pydub`, `soundfile` |
| Styling | Custom CSS (Dark Theme, RTL Support) |
| Hosting | [Hugging Face Spaces](https://huggingface.co/spaces) |
| Deployment | Docker / Streamlit / Git |
---
## ▶️ Try It Live
Visit the live app on Hugging Face:
👉 [https://huggingface.co/spaces/NightPrince/Arabic-ASR](https://huggingface.co/spaces/NightPrince/Arabic-ASR)
No setup required — just upload an Arabic audio file and get instant transcription.
---
## 📦 Project Structure
```python
Arabic-transcriber-pro/
│
├── app.py # Main Streamlit application
├── requirements.txt # Python dependencies
├── README.md # This file
```
---
## 📂 Supported Audio Formats
| Format | Extension | Notes |
|-------|----------|-------|
| WAV | `.wav` | Native support |
| MP3 | `.mp3` | Requires `ffmpeg` |
| OGG | `.ogg` | Vorbis/Opus |
| FLAC | `.flac` | Lossless |
| M4A | `.m4a` | AAC audio |
> 🔁 All files are automatically converted to **16kHz mono WAV** before transcription.
---
## About the Developer
### 👤 [Yahya Alnwsany](https://nightprincey.github.io/Portfolio/)"# Arabic-Transcriber-Pro"
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