Fenn's answer:

Fenn searches semantically and visually inside videos, audio, PDFs, and more — even within frames — offering lightning-fast results beyond what Spotlight can do on MacOS

Fenn's answer:

Fenn is faster, smarter, and goes deeper — finding content inside media files, not just filenames or text.

Fenn's answer:

Mac users who work with a lot of files — especially creatives, researchers, and knowledge workers who need powerful search capabilities.

Fenn's answer:

Fenn was born out of frustration with Spotlight's limitations. It was built to give Mac users a faster, more capable way to truly find anything.

Fenn's answer:

Open-source large language models (LLM)

Open-source vision-language models (VLM)

Open-source embedding models