About video2text
Our mission is to make video content more accessible, searchable, and usable for everyone.
Our Story
video2text was born from a simple observation: while video content continues to dominate the internet, there are still many situations where text is more practical. Whether you're in a quiet environment, trying to quickly scan for specific information, or need to reference content later, text offers advantages that video can't match.
Founded in 2023, our team of developers and AI enthusiasts set out to create a tool that bridges the gap between video and text content. We believe that technology should make information more accessible, not less. By converting YouTube videos to text and generating intelligent summaries, we're helping people save time and get more value from the content they consume.
What started as a simple transcript extractor has grown into a comprehensive tool that leverages cutting-edge AI technology to not just transcribe, but understand and summarize video content.
Our Technology
At video2text, we combine several technologies to deliver accurate transcripts and insightful summaries.
YouTube Data API
We leverage the YouTube Data API to access video metadata and captions, ensuring we can extract high-quality transcripts directly from the source.
Gemini AI for Summaries
Our summary feature is powered by Google's Gemini AI model, which analyzes the full transcript to identify key points, main topics, and important details. This allows us to generate concise yet comprehensive summaries that capture the essence of even lengthy videos.
Modern Web Technologies
Our frontend is built with modern web standards using HTML5, CSS, and vanilla JavaScript, ensuring a fast, responsive experience across all devices.
Future Plans
We're constantly working to improve video2text and expand its capabilities.
Support for additional video platforms beyond YouTube.
Advanced search functionality within transcripts.
Custom AI models trained specifically for video summarization.
Topic extraction and automatic content categorization.
Multi-language support for both transcription and summaries.
Integration with note-taking and content management systems.
We value user feedback and many of our planned features come directly from user suggestions. If you have ideas for how we can make video2text better, please don't hesitate to contact us.