Good Tape Adds AI Memory to Interviews

Good Tape’s new product direction shows how transcription tools are trying to move up the value chain as basic speech-to-text becomes more commoditised.

What happened

Copenhagen-based Good Tape raised fresh funding and launched Explore, a product that connects new recordings to previous transcripts. The tool is designed to help users find context, contradictions and evolving views across past interviews.

The company is targeting journalists, researchers, consultants and public-sector teams that work with large volumes of recorded conversations.

Why it matters

Transcription alone is becoming easier to access. The harder problem is making old interviews useful again: finding patterns, comparing statements and retrieving context without manually searching through archives.

Good Tape is trying to turn audio archives into research memory. That is a stronger workflow position than simply converting audio into text.

The bigger picture

Media and research workflows are being rebuilt around AI search and knowledge retrieval. Tools that understand context across a user’s own material may become more valuable than generic summarisation, especially for professionals who depend on primary-source interviews.