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Find anything — PDFs, Words, videos, audio instantly. 100% local. No cloud, no privacy trade-offs.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | javascripting.com | usefenn.com |
| Pricing | — | |
| Company | — | 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of JavaScripting yet.
Fenn is a file search engine for macOS that lets you find exactly what you need inside video, audio, PDFs, and more. 100% local, no privacy trade-offs
What each product offers, as listed by its team.


Possible disadvantages
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An editorial look at what each product does well and who it suits.


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Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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Fenn
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing JavaScripting and Fenn.
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
Share your experience with using JavaScripting and Fenn. For example, how are they different and which one is better?
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