README.md

metadata

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
🔗 Portfolio: https://nightprincey.github.io/Portfolio/

Screenshot: Gloomy-elegant UI with real-time transcription and audio visualization

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🌟 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
👤 Developer Portfolio: https://nightprincey.github.io/Portfolio/

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🔧 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

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🖼️ 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

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🛠️ Tech Stack

Component	Technology
Frontend	Streamlit
ASR Engine	NVIDIA NeMo
Audio Processing	pydub, soundfile
Styling	Custom CSS (Dark Theme, RTL Support)
Hosting	Hugging Face Spaces
Deployment	Docker / Streamlit / Git

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▶️ Try It Live

Visit the live app on Hugging Face:

👉 https://huggingface.co/spaces/NightPrince/Arabic-ASR

No setup required — just upload an Arabic audio file and get instant transcription.

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📦 Project Structure

Arabic-transcriber-pro/
│
├── app.py # Main Streamlit application
├── requirements.txt # Python dependencies
├── README.md # This file

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📂 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.

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About the Developer

👤 Yahya Alnwsany"# Arabic-Transcriber-Pro"