Have you ever heard a robot-like voice in a video or audiobook? That’s synthetic text to voice in action! It is when a machine converts written words into spoken sounds using artificial intelligence.
In this article, we will discuss what is synthetic text to voice. You will learn how it works, why people use it, and where it is most helpful.
This technology is not just for fun; it helps people who cannot speak or read and saves time for creators. Synthetic text to voice makes communication easy and accessible for everyone.
How Synthetic Text to Voice Works?
I will explain how synthetic text-to-voice works. The process starts when a computer reads the written text. Then, it uses a special program to turn the text into speech. This means no human voice recordings are needed.
First, the program looks at the words in the text. It checks each one to understand how it should sound. It then picks the right sound for each word. This happens very fast.
Next, the program builds the speech by putting the sounds together. It makes sure the speech sounds smooth and natural. The goal is for the voice to sound like a real person talking.
Furthermore, synthetic voices are trained to sound more lifelike over time. The program learns how to pronounce words correctly and even sounds more human-like. This helps it sound less robotic and more like a real person.
In the end, synthetic text-to-voice technology turns written words into speech that sounds natural and clear. It makes reading easier for people who can’t see the text or just prefer to listen.
Features of Synthetic Text to Voice
- Voice Variety: Platforms like ElevenLabs offer over 1,000 voices across more than 50 languages, providing a wide range of options for users.
- Language Support: ElevenLabs’ AI Reader app supports 32 languages, including Spanish, Portuguese, French, Arabic, Mandarin, and Hindi, enabling diverse linguistic applications.
- Pricing Models: Services such as Play.ht offer competitive pricing with flexible plans, including a free tier with 12,500 characters per month and paid plans starting at $31.20 for 3 million characters per year.
- Real-Time Processing: Deepgram’s Aura Text-to-Speech API provides lightning-fast, human-like voice synthesis optimized for real-time applications, ensuring seamless, natural interactions with less than 250 ms latency.
- Customization Options: Platforms like Voices.com offer customizable voice options, including different tones to convey emotion, accents, and more, allowing users to tailor the voice to their specific needs.
- Integration Capabilities: Many text-to-speech services provide SDKs for various platforms, such as iOS, Android, and Python, facilitating easy integration into applications and websites.
Down here I have compared with Indsutry leading text to speech tool which is speechactors.
Comparison With Industry Leader
| Feature | SpeechActors (Pricing) | Synthetic AI Voices (Typical) |
| Pricing Plans | $23/month (Basic), $57/quarter, $217/year | Varies, often subscription-based |
| Characters per Month | 1 million/month (~15 hours of audio) | 1 million/month |
| AI Voices | 300+ voices | 300+ voices |
| Languages & Accents | 140+ languages and accents | 140+ languages and accents |
| Characters per Voiceover | 10K characters | Varies, generally in thousands |
| Commercial Usage | Yes | Yes |
| Background Music | Yes | Yes |
| Voice Tone/Style | Yes | Yes |
| Merge Audios | Yes | Yes |
| Number of Projects | Unlimited | Varies, often unlimited |
Conclusion
Synthetic text-to-voice technology transforms written text into spoken words using AI, making communication accessible to a wider audience. This is especially helpful for people who have difficulty reading or speaking. It also saves time for creators, making it easier to convert written content into voiceovers.
As the technology continues to improve, synthetic voices sound more natural and lifelike. It is not just a fun tool but a practical solution that enhances accessibility, enabling smoother communication across different languages and platforms.