Create script-based voiceovers in Genny by LOVO AI

What is LOVO AI?

LOVO AI provides Genny, a text-to-speech workspace for creating voiceovers from written material. Its official tutorials describe choosing a voice, generating audio in voice blocks, and placing the result on an editor timeline. Users can also import text or Word documents. The workflow is useful when a script needs a spoken version that can be reviewed section by section, whether for a presentation, a video, or an application.

Prepare the script as spoken material

Genny can parse TXT and DOCX files into the voice block editor. After selecting a voice, users generate the corresponding audio for the project timeline. Break the script into meaningful passages and listen for pronunciation, emphasis, and pacing. Written sentences often need revision when spoken aloud, so test a section containing names, numbers, and technical terms before producing the entire narration in the chosen voice.

Connect speech generation to an application

LOVO's official API documentation describes retrieving available speakers and creating text-to-speech requests. Its asynchronous workflow returns a job identifier that an application can use to check status and retrieve completed audio. Available parameters include a selected speaker and speech speed, with style options for some speakers. A development team should handle incomplete jobs and errors explicitly, and review sample outputs for its intended language and use case.

Features to explore

• Script-based voice generation
• Voice blocks and editor timeline
• TXT and DOCX imports
• Text-to-speech API

Who is LOVO AI for?

Genny suits creators and teams turning reviewed scripts into narration, as well as developers adding speech to an application. It is useful when voice selection, passage-level review, and a repeatable generation workflow matter.

Before you get started

Confirm voice licensing and any permission needed for custom voices. Review pronunciation and meaning in the generated audio, and check current API limits and access requirements before designing a production integration.