WellSaid Labs develops text-to-speech technology that generates lifelike synthetic voices using AI models trained on licensed voice data. This platform enables businesses to create high-quality audio content quickly, reducing voiceover costs by up to 80% while ensuring data security and ethical AI practices.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Creating high-quality audio content for various applications, such as corporate training, marketing, and video production, can be expensive and time-consuming due to reliance on professional voice actors and recording studios. Traditional voiceover processes often lack flexibility, making it difficult to quickly iterate and update content.
Solution
WellSaid Labs offers a text-to-speech platform that leverages AI models trained on licensed voice data to generate realistic synthetic voices. This enables businesses to produce audio content rapidly and cost-effectively, reducing voiceover expenses while maintaining data security and ethical AI practices. The platform provides a library of diverse AI voices, allowing users to select the most appropriate voice for their specific needs and brand identity. Users can fine-tune the generated audio, make revisions in seconds, and ensure consistent voice quality across all their audio assets.
Target Audience
The primary target audience includes businesses and organizations across various industries, such as corporate training, marketing and advertising, video production, and product development, who require high-quality, scalable audio content.
Features
- Library of over 120 AI voices with unique personalities and styles
- Studio interface for generating and editing voiceovers from text
- API access for integrating WellSaid's text-to-speech capabilities into existing workflows and applications
- Team collaboration features for managing voice assets and projects
- Enterprise-grade security measures to protect sensitive data
- Integrations with popular video editing and e-learning platforms
- Closed AI models trained on exclusive, licensed voice data