Top 10 Text to Speech Software Comparison in 2025

Advancements in deep learning have rapidly improved text-to-speech (TTS) and speech recognition technologies.¹ The TTS market is projected to surpass $9 billion by 2030, with $3 billion in 2023, reflecting its growing popularity.²

Combining TTS with AI now yields more human-like speech. This article explores TTS software features such as language options, voice-over translation, video and audio editing, dubbing, subtitles, transcription, and API integration.

Top 10 text to speech software comparison

* The price entails a Business (Lite) plan for MurfAI, a Starter plan for Synthesia, a Standard plan for Fliki, a Pro plan for Lovo and Descript, Unlimited for Play.ht, and pricing based on the number of characters for Azure AI, Google Cloud Text-to-Speech, Amazon Polly, and IBM Watson Text-to-Speech.

** Feature is achievable through specified tools

See definitions for the common and differentiated features in the tables.

* Based on the total number of reviews and average ratings (on a 5-point scale) from reputable software review platforms.

** The number of employees is gathered from publicly available sources (i.e., LinkedIn).

Ranking: Vendors with links are sponsors and listed at the top. Other products are ranked based on their total number of reviews.

Top 5 text-to-speech software products analyzed

1. Murf AI

Murf AI offers a selection of cloud-based text-to-speech and video-creation tools fused with AI. The company is headquartered in Salt Lake City, Utah, in the United States. Murf AI’s subscribers are promised to benefit from Murf Studio, stocked with AI voice changers, AI translation, integration with Canva, Google Slides, Windows Apps, and more. It offers 3 pricing plans: Creator, Business, and Enterprise.

Pros

From the outset, its subscribers found the platform easy to use. Reviewers are content with the number of voices available for use in the voice library.³

Cons

The voice is found to be lacking in human resemblance. Especially, several user reviews remark on the issue that pronunciation may take time to improve.

2. Synthesia

Synthesis was founded in 2017. The company is headquartered in San Francisco, California. Synthesis offers a cloud-based platform that enables businesses to create, manage, and distribute realistic synthetic data for various applications, including training machine learning models, testing software, and enhancing data privacy.

Pros

The platform is found to be easy to use by reviewers. Its support for multiple languages with natural accents is praised. Customer support is found to be effective with supplementary tutorial videos.

Cons

Some reviewers find the voice customization feature to be lacking in terms of prompts on specific words, pronunciations, and pace. Other reviewers criticized the rendering for taking time.

3. Descript

Descript was founded in 2017 and is headquartered in San Francisco, California. The company offers audio and video editing software that utilizes cutting-edge technologies such as artificial intelligence and natural language processing to transcribe, edit, and manipulate multimedia content.

Pros

Easy-to-use settings in transcription and script editing are praised by most of the reviewers.

Cons

Most of the reviewers are discontent with the frequent updates. A small group of reviewers states that parallel to the complexity of the editing, the program lags and uploading takes time.

4. Fliki

Fliki offers media creation and editing tools for audio and video. The company offers text-to-video, AI voiceover, AI video generation, an avatar library, voice cloning, and more.

Pros

Reviewers claim the platform is easy to use with inbuilt multiple features. TTS tools are satisfactory, and template voices are easy to adjust without losing quality.

Cons

Pricing plans are found to be limited in options, meaning, reviewers complain they are asked for high prices that offer an extensive range of features.

5. Google Cloud Text-to-Speech

Google has been integrating AI technology into its media creation software for several years, but it gained significant traction with the launch of products like Google Photos and Google Assistant in the mid-2010s. Google offers several AI-integrated software tools in the text-to-speech (TTS) domain, including Google Cloud Text-to-Speech, Google Assistant, Google Translate, and Google Speech-to-Text.

Pros

The availability of multiple languages and dialects is one of the features users appreciate.

Cons

The service is only offered online, and multiple users find it challenging.

TTS use cases

Text-to-speech technology can be utilized to easily convert text to audio. Converting text to speech plays a role in conversational AI or voiceovers for commercial and assistive uses (i.e., people with visual impairments utilize audio-based information).

Figure 1. Text-to-speech use cases in percentage

Source: IDC survey

1. Voice-based conversational AI solutions: Voice assistants

A popular example of TTS utilization is voice assistants. The basic idea is to use speech-to-text (STT) technology to convert the input audio to text, then, after calculations based on a selected model/network (i.e., Large Language Model (LLM)) have been made, to speech again.

Amazon’s Alexa used speech recognition technology to convert voice prompts into text, which it then converted to speech after the output was created. The business has since released a paper on the use of speech-to-speech technology, which produces speech output directly from speech input rather than using STT and TTS.⁴

2. Speech-based digital content

In digital multimedia projects such as videos, animations, or presentations, TTS software can be used to add voiceovers or narration.

This is especially useful when the content creator may not have access to professional voice talent or wants to quickly generate voiceovers for draft versions of their projects. Additionally, TTS can be used to create multilingual versions of content, enabling creators to reach a broader audience without the need for multiple voice actors.

About the table features

Common features

We selected the vendors that deliver the below-defined features:

• Voice customization: Allows for the output of a custom voice arrangement of choice. You may arrange a custom voice by changing defined parameters such as pitch, gender, age, breathiness, language, and amplitude through a voice synthesizer.
• Accents/localization: Enables the cultural accents and voice parameters, such as pause, pitch, and emphasis, for your language of choice.
• Voice cloning: This is the process of synchronizing and synthesizing a voice input.

Differentiating features

Based on the information publicly available, the products listed above have the differentiating features listed below.

• Number of languages: Represents the available number of languages provided for voice customization.
• Voiceover (VO) translation: Takes text or voice as an input and delivers speech synthesis in chosen languages. During video editing, the output is used to replace the original voice-over translation.
• Video editor: TTS technology suppliers have portfolio items that include both video editing and video creation tools. Through the providers’ studio platform, subscribers/users can edit/create videos and add voiceovers.
• Dubbing: This adds voiceover translation to videos while keeping the original body language and localization elements in harmony. When dubbing, a number of factors are carefully taken into account, including speech pauses, expressive mimics, and mouth movements.
• Audio editor: Let’s edit audio inputs and help achieve desired results, such as volume adjustment.
• Subtitles/transcription: Creates transcription in the chosen language. This process is the opposite of text-to-speech software, where speech recognition software is utilized and translated.
• API: Offers application programming interface.

You can also read our Speech-to-Text Benchmark.

External resources

• 1. “Conversational AI is reshaping the human-machine interaction”(PDF). Deloitte. Retrieved May 16, 2024.
• 2. Text-To-Speech (TTS) Market Size, Share, Trends & Forecast.
• 3. Murf.ai Reviews 2025: Details, Pricing, & Features | G2.
• 4. Alexa unveils new speech recognition, text-to-speech technologies - Amazon Science. Amazon Science