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Awaaz - आवाज़
A self-hosted app with beautiful UI for audiobook creation.
Awaaz turns EPUBs, TXT files, or pasted text into MP3 audiobooks without the usual TTS timeouts or progress loss. Progress is persisted, failed chunks are retried. Built for readers, creators, and developers who want a self-hosted, library-style audiobook pipeline. Key features • Import anything: EPUB/TXT uploads or pasted text. • Fine-tune narration: choose backend, model, voice, speed etc. • Durable jobs. • Multiple interfaces. • Pluggable backends. • Self-hosted.
I've open-sourced the repo for Awaaz ... a resumable, self-hosted, API-first audiobook generator for long-form content. The UI is inspired by ElevenReader, which I use most of the time apart from local models.
I'll be adding advanced features over the next few days. I currently use these features through a PoC I made for my own use case, and I now need to migrate them to Awaaz.
What it does: Awaaz turns EPUB, TXT, or pasted text into MP3 audiobooks. Long documents become durable synthesis jobs instead of one fragile TTS request. Text is chunked, progress is persisted, failed work can be retried, and completed WAV chunks survive worker restarts.
It's API-first so you can drive it entirely from curl.
Finally gave this a spin with a hefty EPUB and the chunk retry actually held up where my old TTS scripts always choked halfway. Picking voice and speed per job feels right for long-form stuff.
Self-hosted audiobook conversion is something I keep meaning to set up, and the chunk retry plus persisted progress sounds like it actually solves the half-finished TTS job problem. Curious how the EPUB parsing holds up on files with weird formatting.
love that the progress is actually persisted between sessions, that is the kind of detail most tts tools completely ignore and it makes all the difference when you are converting a 500 page book. solid execution here.
About Awaaz - आवाज़ on Product Hunt
“A self-hosted app with beautiful UI for audiobook creation.”
Awaaz - आवाज़ was submitted on Product Hunt and earned 4 upvotes and 6 comments, placing #160 on the daily leaderboard. Awaaz turns EPUBs, TXT files, or pasted text into MP3 audiobooks without the usual TTS timeouts or progress loss. Progress is persisted, failed chunks are retried. Built for readers, creators, and developers who want a self-hosted, library-style audiobook pipeline. Key features • Import anything: EPUB/TXT uploads or pasted text. • Fine-tune narration: choose backend, model, voice, speed etc. • Durable jobs. • Multiple interfaces. • Pluggable backends. • Self-hosted.
Awaaz - आवाज़ was featured in Open Source (68.6k followers), Artificial Intelligence (473.1k followers), GitHub (41.3k followers) and Audio (2.1k followers) on Product Hunt. Together, these topics include over 147k products, making this a competitive space to launch in.
Who hunted Awaaz - आवाज़?
Awaaz - आवाज़ was hunted by Sharad Raj Singh Maurya. 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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Sharad Raj Singh Maurya
Hey everyone 🙋🏻♂️, I'm Sharad.
I've open-sourced the repo for Awaaz ... a resumable, self-hosted, API-first audiobook generator for long-form content. The UI is inspired by ElevenReader, which I use most of the time apart from local models.
I'll be adding advanced features over the next few days. I currently use these features through a PoC I made for my own use case, and I now need to migrate them to Awaaz.
What it does: Awaaz turns EPUB, TXT, or pasted text into MP3 audiobooks. Long documents become durable synthesis jobs instead of one fragile TTS request. Text is chunked, progress is persisted, failed work can be retried, and completed WAV chunks survive worker restarts.
It's API-first so you can drive it entirely from curl.
Stars, issues, and feedback welcome! 🙂