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Lexora
AI text to speech for websites
Lexora helps websites turn articles and written content into realistic AI audio with an embeddable player, Auto Mode for live page content, customizable styling, and listening analytics. It is built for publishers, blogs, and content-heavy teams that want text-to-speech directly on their website without building the playback layer from scratch.
Today I’m back with a new personal challenge: Lexora.
The idea behind Lexora came from something that feels increasingly clear lately: audio versions of articles are becoming a much more natural part of how people consume content online.
And honestly, it makes sense. It gives readers another way to engage with content when they are working, walking, commuting, or simply don’t feel like staring at a screen. It also adds a real accessibility layer, which matters more and more.
The problem is that the workflow behind it is usually more fragmented than it looks. First you generate the text-to-speech, then you have to deal with playback, embedding, styling, controls, and making the whole thing feel like it actually belongs on the website.
I wanted Lexora to remove that friction and handle the whole flow in one place: turning written content into AI audio, giving it an embeddable player, and making the experience feel ready to publish instead of half-assembled.
On a more practical level, Lexora combines speech generation, player embedding, UI customization, Auto Mode for live content, sticky playback, and audio analytics in a single workflow, so teams don’t have to assemble those layers separately.
That’s really what Lexora is about!
I still consider Lexora very much in beta, and this stage is probably the most important one for me. More than ever, this is the moment where honest feedback matters most: what feels useful, what feels unclear, what feels missing, and where the product should go next.
Also, in the spirit of keeping this launch as genuine as possible, if you think Lexora is a solid product, please feel free to share your support; it's definitely a meaningful way to help.
Launching here again feels special to me, and I’d genuinely love your feedback, questions, or even doubts.
Happy to answer anything 😊
About Lexora on Product Hunt
“AI text to speech for websites”
Lexora was submitted on Product Hunt and earned 10 upvotes and 2 comments, placing #41 on the daily leaderboard. Lexora helps websites turn articles and written content into realistic AI audio with an embeddable player, Auto Mode for live page content, customizable styling, and listening analytics. It is built for publishers, blogs, and content-heavy teams that want text-to-speech directly on their website without building the playback layer from scratch.
On the analytics side, Lexora competes within Marketing, Artificial Intelligence and Audio — topics that collectively have 930.9k followers on Product Hunt. The dashboard above tracks how Lexora performed against the three products that launched closest to it on the same day.
Who hunted Lexora?
Lexora was hunted by Felix. 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 Lexora including community comment highlights and product details, visit the product overview.
Felix
Hey everyone, I’m Felix 👋
I’ve been on Product Hunt before with two other products, TimeDropper and DateDropper.
Today I’m back with a new personal challenge: Lexora.
The idea behind Lexora came from something that feels increasingly clear lately: audio versions of articles are becoming a much more natural part of how people consume content online.
And honestly, it makes sense. It gives readers another way to engage with content when they are working, walking, commuting, or simply don’t feel like staring at a screen. It also adds a real accessibility layer, which matters more and more.
The problem is that the workflow behind it is usually more fragmented than it looks. First you generate the text-to-speech, then you have to deal with playback, embedding, styling, controls, and making the whole thing feel like it actually belongs on the website.
I wanted Lexora to remove that friction and handle the whole flow in one place: turning written content into AI audio, giving it an embeddable player, and making the experience feel ready to publish instead of half-assembled.
On a more practical level, Lexora combines speech generation, player embedding, UI customization, Auto Mode for live content, sticky playback, and audio analytics in a single workflow, so teams don’t have to assemble those layers separately.
That’s really what Lexora is about!
I still consider Lexora very much in beta, and this stage is probably the most important one for me. More than ever, this is the moment where honest feedback matters most: what feels useful, what feels unclear, what feels missing, and where the product should go next.
Also, in the spirit of keeping this launch as genuine as possible, if you think Lexora is a solid product, please feel free to share your support; it's definitely a meaningful way to help.
Launching here again feels special to me, and I’d genuinely love your feedback, questions, or even doubts.
Happy to answer anything 😊