Translate, listen to, and ask questions about your ebooks
Reader Alive is an AI ebook reader for iPhone and iPad. Import EPUB, PDF, AZW3, and MOBI, then translate chapters, listen with natural text-to-speech, summarize dense sections, and ask questions grounded in the book.
Hi Product Hunt,
I built Reader Alive for the kind of reading that usually makes people leave the reader: foreign-language books, dense nonfiction, long PDFs, and technical material.
The app supports EPUB, PDF, AZW3, and MOBI on iPhone and iPad. Inside the reader you can translate selected text or full chapters, listen with natural text-to-speech, generate summaries, and ask questions grounded in the book content.
I would love feedback on three things:
1. Does the import and reading experience feel calm enough to use every day?
2. Does AI help inside the reader feel more useful than switching to a separate chatbot?
3. What book format or reading workflow should be improved first?
Thanks for taking a look.
About Reader Alive on Product Hunt
“Translate, listen to, and ask questions about your ebooks”
Reader Alive launched on Product Hunt on May 22nd, 2026 and earned 111 upvotes and 11 comments, placing #12 on the daily leaderboard. Reader Alive is an AI ebook reader for iPhone and iPad. Import EPUB, PDF, AZW3, and MOBI, then translate chapters, listen with natural text-to-speech, summarize dense sections, and ask questions grounded in the book.
On the analytics side, Reader Alive competes within eBook Reader, Artificial Intelligence and Alpha — topics that collectively have 476.4k followers on Product Hunt. The dashboard above tracks how Reader Alive performed against the three products that launched closest to it on the same day.
Who hunted Reader Alive?
Reader Alive was hunted by Phil Ren. 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.
For a complete overview of Reader Alive including community comment highlights and product details, visit the product overview.
Phil Ren