Dev.to x AssemblyAI: Winter Speech-to-Text Challenge Winners

Last month, we partnered with developer community hub Dev.to to host a winter hacking challenge! The competition saw great participation—75 people submitted projects across the following three categories:

1. Build a sophisticated Speech-to-Text application with AssemblyAI’s latest Speech-to-Text model, Universal.
2. Build a real-time Speech-to-Text application using AssemblyAI’s Streaming Speech-to-Text API.
3. Build an LLM-powered feature on top of speech data using AssemblyAI’s LeMUR.

Participants were competing for the chance at a $1,000 prize and six month Dev++ membership, as well as exclusive gifts.

Submitted projects were judged on the following criteria:

• Use of underlying technology
• Usability and user experience
• Accessibility
• Creativity

Our team really enjoyed reviewing all the great projects and thank everyone for participating!

The winning projects are featured below:

#Winner: Universal Speech-to-Text

Insightview, created by Giovanni Improta, won for best use of Universal Speech-to-Text.

According to Improta, Insightview is a modern web application that streamlines the interview workflow for journalists.

Leveraging both AssemblyAI's LeMUR and Universal technology, it transforms raw interview recordings into structured, actionable content, dramatically reducing the time from recording to publication.

Key features of the application include:

• Audio/video file upload with real-time preview
• Advanced transcription with speaker identification
• Automatic highlight extraction of key moments
• AI-powered article draft generation
• Export interview's subtitles in VTT format

#Winner: Streaming Speech-to-Text

BinaryGarage won the Streaming Speech-to-Text category for their application SpeechCraft—an AI-powered speech analysis assistant for better communication.

According to BinaryGarage, SpeechCraft is an advanced real-time speech analytics platform that transforms spoken words into actionable insights. Using cutting-edge AI technology from AssemblyAI, it provides instant transcription while analyzing multiple dimensions of speech performance.

Key features include:

• Real-time transcription
• Advanced speech metrics, including speaking pace analysis, clarity measurement, fluency assessment, speech rhythm, and vocabulary analysis.
• Visual analytics

#Winner: LLM-powered application

Finally, Diosamual won the LLM-powered application category with ReportSOS: AI-powered SOS Emergency Caller.

According to Diosamual, with ReportSOS, emergencies get sorted faster and smarter. The app lets users report incidents in just a few taps, providing crucial details like location, type of emergency, and even summaries. It’s like giving dispatchers a superpower—cutting through the noise and delivering the right help to the right place, right on time.

Key features include:

• Voice recorder
• Location finder
• Dispatcher dashboard