Subtitle: Breaking Down Language Barriers with AI-Powered Caption Generation

In the realm of software development, breaking down language barriers is crucial for fostering collaboration, exchanging knowledge, and expanding the reach of technological advancements. Subtitle, an open-source AI-powered caption generation project, emerges as a groundbreaking tool that empowers developers to break down language barriers and enhance the accessibility of multilingual content.

Subtitle: An Overview for Developers

Subtitle is an open-source project that utilizes cutting-edge machine learning algorithms and natural language processing techniques to generate accurate and natural-sounding captions for videos in various languages. Developers can seamlessly integrate Subtitle into their projects, leveraging its API to enhance the accessibility and understanding of multilingual video content.

Subtitle utilizes the open-source Whisper ASR model for high-quality speech recognition, ensuring accurate and natural caption generation.

Getting Started with Subtitle

Installation

FFmpeg First, you need to install FFmpeg. Here's how you can do it:

# On Linux
sudo apt install ffmpeg

Clone the Repository: Clone the Subtitle repository from GitHub using the command

git clone https://github.com/innovatorved/subtitle.git.
cd subtitle

Install Dependencies: Install the project's dependencies using the command

pip install -r requirements.txt

Run

You can run the script from the command line using the following command:

python subtitle.py <filepath | video_url> [--model <modelname>]

Replace <filepath | video_url> with the path to your video file. The --model argument is optional. If not provided, it will use 'base' as the default model.

For example:

python subtitle.py /path/to/your/video.mp4 --model base

This will run the script on the video at /path/to/your/video.mp4 using the base model. Please replace /path/to/your/video.mp4 with the actual path to your video file.