The startup offers a cloud-based text-to-speech engine that utilizes an API for voice synthesis, enabling users to generate natural-sounding audio at scale. This service provides a cost-effective solution for businesses needing efficient text-to-speech functionality in their applications.
Funding
$400K 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
Existing text-to-speech (TTS) solutions can be expensive, limiting accessibility for developers and businesses requiring high-volume audio generation. Many platforms also lack the speed and efficiency needed for real-time applications and long-form audio creation.
Solution
Unreal Speech offers a cloud-based text-to-speech API that provides a cost-effective alternative to existing solutions, with savings of up to 90% compared to some competitors. The API enables users to generate natural-sounding audio at scale, supporting both real-time streaming via the `/stream` endpoint and asynchronous synthesis for longer audio files through the `/synthesisTasks` endpoint. Unreal Speech also provides per-word timestamps, allowing developers to highlight words in sync with the generated speech.
Target Audience
The primary target audience includes developers, businesses, and content creators who require efficient and affordable text-to-speech capabilities for applications, podcasts, videos, and other audio-based projects.
Features
- Text-to-speech API with low latency (0.3s for the `/stream` endpoint)
- Support for both short-form and long-form audio generation
- Per-word timestamps for synchronized highlighting
- Volume discounts based on character usage
- Code samples and SDKs for easy integration (e.g., Python)
- Studio-quality voice overs for podcasts and videos
- Multiple voice options (e.g., Scarlett, Dan, Liv, Will, Amy)
- Adjustable bitrate, speed, and pitch