About YouTube Transcript
A web application that transcribes YouTube videos by extracting audio and using speech recognition to generate accurate transcripts with timestamps.
Our Story
YouTube Transcript was developed to make video content more accessible and useful. Our mission is to help users extract valuable information from YouTube videos through accurate transcription and easy content navigation.
As a technology-focused project, we combine cutting-edge AI technology with a sleek Next.js frontend for the user interface and a powerful Python FastAPI backend for audio processing and transcription.
We believe that by making video content more accessible through accurate transcripts, we can help students, researchers, content creators, and casual viewers get more value from the videos they watch.
Our Philosophy
Our Vision
Creating a world where video content is fully accessible to everyone, regardless of hearing ability, language preferences, or learning style. We envision a platform where any YouTube video can be instantly converted to text for better comprehension and analysis.
Our Mission
To provide the most accurate and user-friendly YouTube video transcription tool available. Our goal is to make content more accessible, searchable, and valuable through high-quality transcripts with perfect timestamp synchronization.
Our Strengths
Advanced Speech Recognition
We use state-of-the-art AI models for speech recognition, ensuring high accuracy even with challenging audio conditions.
User-Centric Design
Our interface is designed with users in mind, making it easy to navigate transcripts while watching videos simultaneously.
Perfect Synchronization
Each line of text is precisely time-stamped, allowing users to click on any portion to jump to that exact moment in the video.
Our Features
Transcript Generation
Simply input a YouTube video URL and our system will extract the audio, process it through our advanced speech recognition engine, and generate an accurate transcript with precise timestamps.
Our Technology
At YouTube Transcript, we use a combination of modern technologies to deliver accurate transcriptions. Our architecture consists of a Next.js frontend for the user interface and a Python FastAPI backend for audio processing and transcription.
Faster-Whisper
High-performance speech recognition model for accurate transcription
Next.js & React
Modern frontend framework for a responsive and interactive user experience
Python & FastAPI
High-performance FastAPI backend with advanced audio processing capabilities and optimized transcription workflows.
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Contact Us
Have questions about our service or suggestions for improvement? We'd love to hear from you.
support@youtubetranscript.com
GitHub
Find us on GitHub to contribute
or report issues
YouTube Transcript Project