CAT-Talk

USING AI TO DRIVE INNOVATION AND AUTOMATION

CAT-Talk is a secure web-based platform that streamlines speech-to-text transcription and speaker-labeling (diarization), addressing a growing need for accurate, efficient, and secure documentation in healthcare and related fields. This self-service tool allows users to quickly generate, edit, and analyze transcripts, significantly reducing the burden of manual documentation. LLM-powered tools are integrated into the system allowing users to summarize transcripts or create their own custom jobs tailored to meet each project’s unique needs. Hosted on UK-owned, NIST-compliant infrastructure, CAT-Talk offers robust data security as a core advantage. Built to boost productivity, it empowers users to focus on what matters most.

Citation

A paper detailing the development and usage of this tool can be found here:

Toward Automated Clinical Transcriptions 

Please be sure to appropriately cite usage of LLM Factory in your research.

Key Features of CAT-Talk

  • Fast, accurate transcriptions with error flags for rapid human verification.
  • Integration with a variety of LLM tools for summarization, theme extraction, and highlighting key takeaways.
  • Hosted on secure, UK-owned NIST-compliant infrastructure.
  • Customizable tools that can be tailored for specific project needs.


Learn more about CAT-Talk in this tutorial video .

Vaiden Logan presented his work Toward Automated Clinical Transcriptions, at the March 2025 AMIA Informatics Summit in Pittsburgh, PA. 

Projects Supported by CAT-Talk

SpeakEZ The University of Kentucky Louie B. Nunn Center for Oral History has a backlog […]