"Generate human-like voiceovers in 40+ languages using 550+ premium AI voices with advanced emotional control."

Notevibes is a powerful, web-based text-to-speech platform utilizing high-end Google Cloud models (WaveNet, Neural2, Studio, Chirp3 HD) to deliver professional, studio-quality audio. It offers an extensive library of over 550 premium AI voices across 40+ languages, suitable for global content creation. Users have granular control over voice output, including pitch, speed, volume, and comprehensive SSML (Speech Synthesis Markup Language) support.
The platform stands out due to its advanced emotional synthesis, offering 18+ distinct emotions and natural vocalizations like laughing or sighing. This feature is crucial for creating authentic, expressive content, particularly within the dedicated Multi-Voice Podcast Generator, which automatically transforms text or imported content into dynamic, two-person conversations with unique tones and pacing.
Notevibes streamlines the content workflow by offering sophisticated AI content tools, allowing users to extract text from multimodal inputs like PDFs, URLs, images, videos, and audio files before summarizing it. It supports team collaboration via shared credit pools and a rich text editor workspace, making it ideal for organizations managing large volumes of audio content. Audio output is available instantly in MP3, WAV, OGG, and ULAW formats.
Notevibes, a cosmic pyramid scheme of audio engineering, promises to transform your meagre words into a symphony of synthetic voices. With over 550 premium AI puppets at your disposal, you can conjure a cacophony of emotions, from the sultry seduction of a femme fatale to the gruff grumblings of a disgruntled dock worker. Powered by the whirring gears of neural networks, this digital Babel fish will render your prose in 40+ languages, ensuring your message is lost in translation across the endless expanse of the internet.
Browser
No Public API
moderate
good
Users seeking extremely deep voice cloning capabilities or organizations needing a dedicated TTS API for application integration.