Project Overview

Rosado AI is a smart, AI-powered application designed to help content creators, businesses, and educators generate accurate, editable captions for videos in real-time. The goal of this project was to make video captioning faster, more reliable, and user-friendly, eliminating the need for long manual editing sessions or inaccurate auto-generated subtitles.

The client wanted an app that could automatically transcribe spoken words from videos, allow instant editing, and reintegrate captions seamlessly, improving accessibility and saving creators valuable time.

Features We Delivered

• Automatic Video Transcription: The app uses AI to transcribe speech from uploaded videos instantly.

• Real-Time Caption Editing: Users can edit captions on the spot using a simple, intuitive interface.

• AI-Assisted Refinements: ChatGPT-powered suggestions help rewrite or improve captions quickly.

• Seamless Caption Integration: Edited captions are synced perfectly with the video timeline without delays.

• Cross-Platform Support: Designed for smooth use on both iOS and Android devices.

Problems Faced

• Manual captioning is time-consuming and often delays content publishing.

• Existing caption tools produce inaccurate or poorly timed subtitles.

• Content creators wanted a solution that could automatically handle captions while still allowing full customization.

• Accessibility requirements were hard to meet quickly without reliable, editable captions.

What We Did

Our team developed Rosado AI as a React Native application with a clean and user-friendly interface. The focus was on speed, accuracy, and flexibility.

• We integrated Deepgram, a powerful speech-to-text engine, to generate highly accurate captions.

• We built an interactive editing panel, allowing users to instantly refine captions without exporting files.

• We ensured captions could be re-synced in real-time, making it easy to review and finalize content quickly.

How We Used AI

• Speech Recognition: AI-powered transcription using Deepgram converted spoken words into text with high accuracy.

• Contextual Suggestions: ChatGPT analyzed the transcribed text and suggested more natural, readable captions.

• Automation: The system minimized manual work by automatically syncing captions with video timing, requiring minimal user adjustments.

This combination of AI technologies ensured fast, accurate, and human-like captions, improving both workflow and accessibility.

Results

• 70% reduction in time spent on captioning compared to manual methods.

• Creators reported higher accuracy and fewer errors in auto-generated captions.

• Positive feedback for the ease of editing and instant synchronization.

• Improved video accessibility for a wider audience, leading to better engagement rates.