Lumi is an AI reading experiment from Google's PAIR. Instead of summarizing, it adds a lightweight AI layer directly on top of arXiv papers. It highlights main points in the source text, makes references clickable, and lets you ask contextual questions about any selected text or image.
Lumi is a new experiment from Google's PAIR team that integrates AI directly into the paper-reading process.
The core idea is that it doesn't read the paper for you, it reads with you. It highlights key points on the original text, not in a separate summary. You can also select any text or image to ask questions right in context.
This approach turns reading an paper from a static task into a fluent, interactive exploration. The interaction logic here is something many productivity tool teams should really study.
Currently, it's focused on arXiv papers. But the project is fully open-source under Apache 2.0, so developers can get in there and adapt it for their own needs.
too bad I kept getting Error: Paper has a non-exclusive license and cannot be processed.
Lumi from Google's PAIR team looks incredibly useful for researchers! The ability to ask contextual questions about arXiv papers is brilliant. How does Lumi handle complex mathematical notations and formulas? Can it explain proofs step-by-step?
The layout keeps getting cleaner while staying familiar __ that balance matters.
can I read a novel?
can my son use it to prepare for school lessons?
Congrats on your launch 🤝this is such a refreshing approach to AI-assisted reading 👏. I love that Lumi focuses on reading with you instead of replacing the process entirely.
Since it’s open-source, are there any plans to make Lumi compatible with other research databases beyond arXiv?
can i use this to read some novel ？haha
It seems to extend beyond academic papers.
About Lumi on Product Hunt
“Read smarter, not harder”
Lumi launched on Product Hunt on November 10th, 2025 and earned 204 upvotes and 11 comments, placing #7 on the daily leaderboard. Lumi is an AI reading experiment from Google's PAIR. Instead of summarizing, it adds a lightweight AI layer directly on top of arXiv papers. It highlights main points in the source text, makes references clickable, and lets you ask contextual questions about any selected text or image.
Lumi was featured in Productivity (649.7k followers), Open Source (68.3k followers), Artificial Intelligence (466.2k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 243.6k products, making this a competitive space to launch in.
Who hunted Lumi?
Lumi was hunted by Zac Zuo. 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 Lumi stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hi everyone!
Lumi is a new experiment from Google's PAIR team that integrates AI directly into the paper-reading process.
The core idea is that it doesn't read the paper for you, it reads with you. It highlights key points on the original text, not in a separate summary. You can also select any text or image to ask questions right in context.
This approach turns reading an paper from a static task into a fluent, interactive exploration. The interaction logic here is something many productivity tool teams should really study.
Currently, it's focused on arXiv papers. But the project is fully open-source under Apache 2.0, so developers can get in there and adapt it for their own needs.