Case study
Hikma Library
Audiobook publisher
An audiobook company approached us wanting AI to help them produce titles faster - without losing control over quality or how narration is managed.
The challenge
Producing audiobooks the traditional way was slow and expensive - especially for a growing catalogue. They needed a practical way to generate AI narration, compare voices, and keep everything organised.
They needed a production workflow their team could use day to day, not a one-off prototype.
What we built
A production studio and the systems behind it: structured catalog management, AI text-to-speech wired into their workflow, and a UI where their team can generate audio, preview it, tweak model settings, and publish with confidence.
Listeners get a polished app experience with multiple narrators per title. Their team gets a practical way to use AI where it helps - and keep human narration where it matters.
Management studio: generate AI audio, preview it, then add it to the book.
What changed
AI audio on demand
Their team can turn chapter text into narration with leading AI voice models - then publish when it sounds right.
Test before you commit
A management studio lets them try voices, models and settings, preview the audio, and only save what passes the listen test.
Human and AI side by side
Sacred or specialist sections stay with human narrators; everything else can use AI. Different voices per section type in the same book.
Easy to regenerate
When voice models improve, regenerating a section is straightforward - so the catalogue keeps getting better without starting from scratch.
Full catalogue control
Books, chapters and sections are managed in one place - with multiple narration paths (upload, external link, or AI generation) so production stays flexible as the library grows.
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