Murf AI converts our written content into audio versions and we use it for accessibility across our whole knowledge base

Different use case angle on Murf than you usually see discussed so I want to write it up.

I work in digital accessibility for an organization with a large online knowledge base. A meaningful proportion of our users benefit from audio versions of written content, people with visual impairments, dyslexia, reading difficulties, or who simply absorb information better through listening. Producing audio versions of our articles and guides manually was never realistic at the volume of content we publish.

Murf handles the text-to-speech production at scale with enough voice quality that the result does not sound like a machine reading a document. The 120-plus voice library across 20-plus languages covers our multilingual content needs. The voice quality distinction between Murf and the browser's built-in TTS is significant enough to affect how long someone will actually listen.

The Granular Voice Control is important for knowledge base content specifically. Different sections of a help article have different emphasis requirements. A warning needs different delivery than a standard instruction. Being able to set emphasis and pacing at the sentence level means the audio version reads like someone explaining something rather than reading a list.

The Integrated Video Editor is what I use for content that needs both visual and audio, tutorial videos where we layer a Murf voiceover onto a screen recording. That stays inside one tool rather than requiring a separate editor for the voiceover sync step.

The Voice Changer for transforming recorded voices into AI versions is useful when we have existing narration that needs upgrading without re-recording.