Mathematics deserves to be heard correctly.
Evaria started from a simple observation: text-to-speech voices have become remarkably natural, yet they still stumble over the one kind of writing that most needs care — mathematics.
The problem
Mathematical notation is compact and depends on context. A vertical bar can mean “given”, “divides” or “the absolute value of”. A capital A standing alone is a matrix, not the article “a”. Where a fraction or a bracket ends changes the meaning of everything after it. A reading that sounds fluent but gets this wrong is worse than no reading at all, because the listener cannot see the page to notice.
Our approach
We think correctness comes from the workflow, not from a promise. So Evaria keeps the source in view at every step: it writes each formula out in words, shows that reading beside the original, flags notation it cannot read, and renders only what you have seen and approved. After rendering, a transcript check points to passages worth a second listen. The voice itself is interchangeable engineering; the reading is the product.
Both narration modes speak in one designed Evaria voice — a synthetic voice created for Evaria from a written description, not a recording or clone of any real person.
How we talk about Evaria
- We publish real, unedited samples with their provenance, and play them at matched loudness.
- We do not claim accuracy we have not measured, and we say plainly where review is needed — for published material, and for anything imported from PDF.
- We do not use your documents, scripts or audio to train voice models.
- We show the price of every narration before you render it.
Get in touch
Educators, accessibility teams, publishers and developers: we would like to hear what you need narrated and what gets in the way today.