The Best Text-to-Speech APIs

 author avatar image James May 23, 2025 Industry

Best Text-to-Speech APIs of 2025: Top Tools, Features & How to Choose

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Voice-to-text technology has become increasingly popular in recent years, leading to the emergence of a batch of text-to-speech APIs in the market. However, the sound quality, emotional expression, and personalization of these APIs remain uncertain.

This article mainly introduces 9 of the best text-to-speech APIs on the market, listing their features and the accuracy of language conversion to help you choose the most suitable API.

What is a Text-to-Speech API?

Text-to-Speech (TTS) is a technology that converts written text into spoken voice output. It analyzes the text through computer programs or artificial intelligence models and generates corresponding natural speech. TTS technology is widely used in voice assistants, navigation systems, automated customer service, e-book readers, and accessibility technologies, helping users who cannot read text to receive information through auditory means.

In simple terms, TTS technology allows computers to "read" written text, typically mimicking human voices and even adjusting the speech rate, tone, and intonation to improve the naturalness and expressiveness of the voice.

Text-to-Speech API Use Cases

You can use Text-to-Speech APIs in various fields. Here are some common use case examples:

Entertainment: Provide voiceovers for video games, animations, and movies, giving characters different styles of voice dialogue.

Accessibility: Enhance the accessibility experience of websites, apps, and digital devices for visually impaired or dyslexic users.

Customer Service: Provide automated voice responses in channels such as phone systems and chatbots, improving customer service efficiency.

Navigation: GPS navigation systems provide real-time driving routes and turn-by-turn instructions for drivers or cyclists.

Healthcare: Offer medication reminders, voice commands, and other assistive services for visually impaired or cognitively impaired patients.

Language Learning: Help learners improve pronunciation accuracy and listening comprehension.

Personal Assistants: Smart assistants like Siri, Alexa, and others interact with users via voice and execute commands.

Financial Services: Provide voice notifications for industries such as banking and insurance, such as transaction alerts and account changes.

Smart Home: Allow smart speakers, smart locks, and smart home systems to provide status updates and alert notifications via voice.

Transportation: Announce station information, flight boarding reminders, and train arrival notifications in public transportation systems.

Social Media: Provide voiceover services for platforms such as short videos, podcasts, and live streams, lowering content creation barriers.

The Best 9 Text-to-Speech APIs on the Market

A variety of powerful TTS APIs have emerged on the market, each offering unique features in terms of audio quality, speed, language support, and customization capabilities. However, not all products are suitable for your company.

When comparing Text-to-Speech APIs, several factors should be considered, such as cost, security, and privacy. We have tested the 8 most popular Text-to-Speech APIs of 2025. The following is a brief overview of each.

1. All Voice Lab

API Reference: https://www.allvoicelab.com/docs

Feature: Flexible voice synthesis tool, supports custom languages and accents

Use Cases: Personalized voice assistants, brand voices, smart hardware, customer service

Supported Languages: 30+

API Accuracy: 98-99%

2. AWS - Amazon Polly

API Reference: https://docs.aws.amazon.com/polly/latest/dg/API_Reference.html

Feature: Supports 40+ languages, neural network technology, natural and smooth voice

Use Cases: Virtual assistants, automated voice response, content creation, news broadcasting

Supported Languages: 40+

API Accuracy: 98-99% (Standard accent, clear audio)

3. ElevenLabs

API Reference: https://elevenlabs.io/docs/overview

Feature: Excellent emotional expression and voice diversity

Use Cases: Audiobook production, personalized voice broadcasts, high-fidelity voice synthesis

Supported Languages: Various languages, focusing on emotion and personalization

API Accuracy: 95-98% (Emotion and voice diversity)

4. Google Cloud Text-to-Speech

API Reference: https://cloud.google.com/text-to-speech?hl=en

Feature: WaveNet model, provides highly natural speech, supports 220+ voices

Use Cases: Enterprise applications, mobile apps, automated customer service, IoT devices

Supported Languages: 220+

API Accuracy: 99% (Multi-language support, natural speech)

5. IBM Watson

API Reference: https://cloud.ibm.com/apidocs/text-to-speech

Feature: Highly customizable, supports emotional voice output

Use Cases: Finance, healthcare, customer service, enterprise systems

Supported Languages: Various languages, supports emotional speech

API Accuracy: 98-99% (Emotional speech processing)

6. Microsoft Azure Text-to-Speech

API Reference: https://azure.microsoft.com/en-us/products/api-management

Feature: Supports custom voices, generates voices in multiple languages

Use Cases: Intelligent customer service, brand voice creation, education platforms

Supported Languages: Various languages, supports custom voices

API Accuracy: 98-99% (Custom voice model support)

7. Speechify API

API Reference: https://speechify.com/text-to-speech-api/

Feature: High-quality voice, focused on reading experience

Use Cases: Audiobooks, news broadcasting, online education, content creation

Supported Languages: Supports multiple languages, focuses on high-quality voice

API Accuracy: 95-98% (High-quality voice support across languages)

8. Murf.ai

API Reference: https://murf.ai/api

Feature: Supports personalized voices, realistic speech effects

Use Cases: Podcast production, advertisement creation, video dubbing, content creation

Supported Languages: Various languages, supports customization

API Accuracy: 98-99% (Complex voice synthesis)

9. OpenAI

API Reference: https://openai.com/api/

Feature: Generates natural speech based on GPT-4, combined with NLP technology

Use Cases: Virtual assistants, chatbots, voice interaction systems

Supported Languages: Various languages, combines NLP technology

API Accuracy: 99% (Natural-sounding speech with NLP technology)

All Voice Lab Benefits

All Voice Lab has launched a special campaign for new users. By signing up, you can get 300,000 credits as a one-time gift.

The 300,000 credits can be used for the following:

· 600 minutes of Text-to-Speech (TTS)

· 600 minutes of Audiobook production

· 30 minutes of video translation into 30+ languages

Try it now and see what you can create!

👉 Sign up here

Learn more: Introducing MaskGCT