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Obook turns PDFs, ebooks and classics into natural-sounding audiobooks. Unlike basic text-to-speech readers, Obook first uses AI to clean the text (skipping headers, page numbers and footnotes) and splits it into real chapters, so you hear the book, not the page layout. Choose from 32 narrators across 20+ languages and follow along with word-by-word highlighting synced to the audio. Built and run on our own GPU voice pipeline by a solo founder.
Hey Product Hunt! 👋 I'm Emin, the solo founder behind Obook.
I built it because most text-to-speech apps just read whatever is on the page: page numbers, running headers, footnotes, broken line breaks. It sounds robotic and you lose the thread fast.
Obook works differently. When you upload a book, an AI pass cleans the text and organizes it into proper chapters before any audio is generated. Then it's narrated by one of 32 voices in 20+ languages, running on a GPU pipeline I built and host myself. While you listen, each word is highlighted in sync, so you can switch between reading and listening anytime.
It's available on iOS and Android. I'd love your honest feedback: which voices you like, what books break it, and what you'd want next. I'll be here all day answering questions! 🎧📚
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About OBook Text To Speech on Product Hunt
“Turn any PDF or ebook into a natural audiobook”
OBook Text To Speech was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #54 on the daily leaderboard. Obook turns PDFs, ebooks and classics into natural-sounding audiobooks. Unlike basic text-to-speech readers, Obook first uses AI to clean the text (skipping headers, page numbers and footnotes) and splits it into real chapters, so you hear the book, not the page layout. Choose from 32 narrators across 20+ languages and follow along with word-by-word highlighting synced to the audio. Built and run on our own GPU voice pipeline by a solo founder.
OBook Text To Speech was featured in Android (57.6k followers) and Productivity (661.9k followers) on Product Hunt. Together, these topics include over 212.6k products, making this a competitive space to launch in.
Who hunted OBook Text To Speech?
OBook Text To Speech was hunted by Emin lahham. 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.
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Emin lahham