Best Text to Speech Software

Compare the Top Text to Speech Software as of October 2025

What is Text to Speech Software?

Text to speech software is a type of software that enables users to input text which is then converted into a synthetic voiced output. This software can be used in different applications such as in communication, in education, and for accessibility purposes. Text to speech software also provides the option to customize the voice and speed of spoken words according to preferences, making it more effective for individual users. It has become increasingly popular due to its ease of use and effectiveness in both professional and personal settings. Compare and read user reviews of the best Text to Speech software currently available using the table below. This list is updated regularly.

  • 1
    Octave TTS

    Octave TTS

    Hume AI

    Hume AI has introduced Octave (Omni-capable Text and Voice Engine), a groundbreaking text-to-speech system that leverages large language model technology to understand and interpret the context of words, enabling it to generate speech with appropriate emotions, rhythm, and cadence, unlike traditional TTS models that merely read text, Octave acts akin to a human actor, delivering lines with nuanced expression based on the content. Users can create diverse AI voices by providing descriptive prompts, such as "a sarcastic medieval peasant," allowing for tailored voice generation that aligns with specific character traits or scenarios. Additionally, Octave offers the flexibility to modify the emotional delivery and speaking style through natural language instructions, enabling commands like "sound more enthusiastic" or "whisper fearfully" to fine-tune the output.
    Starting Price: $3 per month
  • 2
    Orpheus TTS

    Orpheus TTS

    Canopy Labs

    Canopy Labs has introduced Orpheus, a family of state-of-the-art speech large language models (LLMs) designed for human-level speech generation. These models are built on the Llama-3 architecture and are trained on over 100,000 hours of English speech data, enabling them to produce natural intonation, emotion, and rhythm that surpasses current state-of-the-art closed source models. Orpheus supports zero-shot voice cloning, allowing users to replicate voices without prior fine-tuning, and offers guided emotion and intonation control through simple tags. The models achieve low latency, with approximately 200ms streaming latency for real-time applications, reducible to around 100ms with input streaming. Canopy Labs has released both pre-trained and fine-tuned 3B-parameter models under the permissive Apache 2.0 license, with plans to release smaller models of 1B, 400M, and 150M parameters for use on resource-constrained devices.
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