README.md

Subtitle Search Engine

Subtitle Search Engine is a powerful platform that allows you to upload, process, and search video time stamps effortlessly based on given subtitle search keywords.

Features

• Subtitle Extraction: Use of ccextractor binary to extract subtitles directly from your uploaded videos.

• Background Processing: The Django framework, handles video processing as a background task using Celery workers. This ensures an efficient and user-friendly experience.

• Secure Video Storage: Processed videos are securely stored in Amazon S3, providing reliability and scalability to accommodate your storage needs.

• Subtitle Indexing: The system indexes the extracted subtitles into DynamoDB, allowing you to search for specific words or phrases within the video content.

• Precise Timestamp Search: Imagine uploading a music video and, with a simple search, discovering the exact time segments where your chosen phrases are mentioned.

Technologies Used

• Django: A Python web framework for developing the webapp.

• Celery: Distributed task queue system for background processing.

• Redis: Used as a message broker to store the tasks.

• ccextractor: A tool for extracting closed captions (subtitles) from video files.

• Amazon S3: Scalable object storage service for secure and efficient video storage.

• DynamoDB: Fully managed NoSQL database for indexing and quick retrieval of subtitle information.

Usage

1. Upload your video on the platform.

2. The system will extract subtitles and process the video in the background.

3. Once processed, you can search for specific words or phrases within the video content.

4. Explore the precise time segments where your chosen phrases are mentioned.

Environment Variables

To run this project, you will need to add the following environment variables to your .env file

AWS_REGION_NAME AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY S3_BUCKET_NAME DYNAMODB_TABLE_NAME

Run Locally

Clone the project

  git clone https://github.com/AbhishekBhosale46/Django-Subtitle-Search-Engine/

Go to the project directory

  cd my-project

Install dependencies

  pip install -r requirements.txt

Run migrations

  python manage.py migrate

Start Celery worker for background tasks

  celery -A yourprojectname worker -P threads -l info

Run the Django server

  python manage.py runserver

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