Convo AI Transcription is an intelligent, real-time transcription agent that converts audio to accurate, high-quality text instantly. It aims to eliminate the need for manual note-taking, providing users with fast, automated, and reliable transcripts for meetings, calls, interviews, and recorded sessions.
The front end was achieved in React and OpenAI Realtime for live transcription rendering.
Hours delivered back to the business
Team members
The Challenge
- WebRTC integration: Ensuring smooth real-time audio streaming without drops or disruptions.
- Latency issues: Live transcription should run without time delays, especially on long conversational runs.
- Scalable architecture: The system should cater to many simultaneous users without affecting responsiveness.
- Frontend experience: Clean, intuitive UI experiences with smooth live transcription.
Our Approach
- Designed an interface simple and clean for the easy use of users, showing live transcription.
- Justification of real-time streaming whereby the text comes up on-screen once the speaker starts talking.
- We made sure the system is fast and smooth even in long conversations.
- Established a stable setup capable of handling many users simultaneously.
The Results
- High accuracy even in background noise, with many speakers, and with different accents.
- UI performance is smooth because of the optimized rendering of React.
- Backend is robust and scalable, allowing many people to use it without slowdown.
- Users no longer need to sit and listen in meetings and calls, filling in sheets of paper to take manual notes.
Conclusion
With the combination of React, Python, and OpenAI Realtime, Convo AI Transcription can now serve as a contemporary, highly effective, and intelligent tool for data transcription. Also, it will address the usability challenges as well as accuracy and latency.
This ensures that the system provides an all-out experience that will transform the way users capture information. There can be no better demonstration of the powerful impact that AI-driven, automated solutions can have in improving productivity and enabling more intelligent workflows.
