This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Unlike traditional file search that relies on filenames or keywords, Deep Search uses local AI to understand the meaning of your photos and documents. Simply describe what you're looking for in everyday language to find text, scenes, people, objects, or specific sections within documents. Because all AI processing runs entirely on your computer, your files stay private without relying on the cloud.
Hi Product Hunt! We're excited to introduce Synology Deep Search, a desktop application that helps you find images and documents using Local AI.
As our personal file collections continue to grow, finding the right file has become increasingly difficult. Traditional file search expects you to remember filenames, keywords, or where a file was saved. But that's rarely how people remember things. More often, we remember what a document was about, a scene in a photo, a person, or even a small detail.
That's why we built Deep Search.
Instead of matching keywords, Deep Search uses Local AI to understand the meaning of your images and documents. Simply describe what you remember in everyday language, and Deep Search helps you find the right content across documents and images. You can jump directly to relevant paragraphs, tables, charts, or embedded images within documents, or find photos by people, scenes, objects, recognized text, time, and location.
Privacy was a core design principle from day one. All indexing and AI processing happen entirely on your computer, so your files never leave your device and no cloud processing is required.
One thing we're particularly proud of is how Deep Search handles detailed, natural descriptions. Instead of limiting your search to a few keywords, you can describe what you remember the way you naturally would, and let the AI do the rest.
We're excited to share Deep Search with the Product Hunt community and would love to hear your thoughts. What do you think today's file search is still missing? If you give Deep Search a try, we'd love to hear what worked well, what didn't, and what features you'd like to see next. Thanks for checking us out!
Does this work with the photos already in Synology Photos, or do I need to re-index everything from scratch to start using it?
About Synology Deep Search on Product Hunt
“Find your files with local AI”
Synology Deep Search was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #15 on the daily leaderboard. Unlike traditional file search that relies on filenames or keywords, Deep Search uses local AI to understand the meaning of your photos and documents. Simply describe what you're looking for in everyday language to find text, scenes, people, objects, or specific sections within documents. Because all AI processing runs entirely on your computer, your files stay private without relying on the cloud.
Synology Deep Search was featured in Productivity (656.3k followers), Privacy (11.2k followers) and Artificial Intelligence (473.8k followers) on Product Hunt. Together, these topics include over 261.6k products, making this a competitive space to launch in.
Who hunted Synology Deep Search?
Synology Deep Search was hunted by Claire Chen. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Synology Deep Search stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Claire Chen