## AutoCaption: AI-Powered Video Subtitling Platform Role: Full-Stack Developer Tech Stack: Larav...## AutoCaption: AI-Powered Video Subtitling Platform Role: Full-Stack Developer Tech Stack: Larav...
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## AutoCaption: AI-Powered Video Subtitling Platform
Role: Full-Stack Developer Tech Stack: Laravel 13, React, PHP 8.4, OpenAI Whisper, FFmpeg
### Project Overview
AutoCaption is a sophisticated video editing tool designed to automate the transcription and captioning process. By integrating AI-driven speech recognition, the platform allows creators to generate, edit, and style captions in real-time, significantly reducing the manual effort required for video post-production.
### Key Features & Implementation
Multilingual AI Transcription: Utilizes OpenAI Whisper models to accurately transcribe audio into text, supporting multiple languages and regional dialects (as seen with the Hindi/Hinglish example).
Interactive Timeline Editor: Built a custom React-based timeline that allows users to precisely sync text segments with video timestamps, adjusting start and end times with drag-and-drop ease.
Dynamic Styling Engine: Developed a comprehensive styling sidebar where users can customize:
Typography: Select from a library of modern fonts (e.g., Montserrat, Roboto).
Visuals: Real-time adjustments for font size, color, background highlights, and text shadows.
Presets: Quick-apply "Modern," "Elegant," or "System" styles for brand consistency.
Video Processing Pipeline: Implemented a backend architecture using FFmpeg to handle high-resolution video rendering, ensuring that stylized captions are "burned" into the final export without quality loss.
### Technical Highlights
Real-time Preview: Engineered a seamless bridge between the React frontend and the video player to show caption changes instantly as the user edits styles.
Scalable Backend: Leveraged Laravel 13's robust job queuing system to process video rendering tasks asynchronously, maintaining a responsive user interface during heavy compute tasks
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