A product built by Brainic
DeepHam is our own project for amateur radio audio archives. Finding a call sign or discussion in such an archive requires working through recordings.
What we built
We implemented AI-assisted transcription and summaries alongside an interface for searching the text. Users can find call signs and topics and return to the relevant audio context.
Its role for the user
Audio content becomes searchable and can be explored from a term instead of only by listening through an entire recording.