Best Text to Speech Software for Vertex AI

Find and compare the best Text to Speech software for Vertex AI in 2025

Use the comparison tool below to compare the top Text to Speech software for Vertex AI on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Google Cloud Speech-to-Text Reviews
    Top Pick

    Google Cloud Speech-to-Text

    Google

    Free ($300 in free credits)
    374 Ratings
    See Software
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    Google Cloud Speech-to-Text is designed primarily for transcribing spoken words into written text, but it works in harmony with text-to-speech solutions to deliver a fluid voice interaction experience. By integrating this service with others, users have the ability to not only transcribe audio but also transform text back into lifelike speech, which is perfect for developing interactive voice applications. This technology proves particularly beneficial for enhancing accessibility, aiding those with visual impairments, or powering voice-activated devices. New users can take advantage of their $300 credits to explore both text-to-speech and speech-to-text functionalities, allowing them to craft a rich voice-driven experience for their audience.
  • 2
    Google Cloud Text-to-Speech Reviews
    Utilize an API that leverages Google's advanced AI technologies to transform text into natural-sounding speech. With the foundation laid by DeepMind’s expertise in speech synthesis, this API offers voices that closely resemble human speech patterns. You can choose from an extensive selection of over 220 voices in more than 40 languages and their various dialects, such as Mandarin, Hindi, Spanish, Arabic, and Russian. Opt for the voice that best aligns with your user demographic and application requirements. Additionally, you have the opportunity to create a distinctive voice that embodies your brand across all customer interactions, rather than relying on a generic voice that might be used by other companies. By training a custom voice model with your own audio samples, you can achieve a more unique and authentic voice for your organization. This versatility allows you to define and select the voice profile that best matches your company while effortlessly adapting to any evolving voice demands without the necessity of re-recording new phrases. This capability ensures your brand maintains a consistent audio identity that resonates with your audience.
  • 3
    Chirp 3 Reviews
    Google Cloud's Text-to-Speech API has unveiled Chirp 3, a feature that allows users to develop custom voice models by utilizing their own high-quality audio recordings. This innovation streamlines the process of generating unique voices for audio synthesis via the Cloud Text-to-Speech API, catering to both streaming and long-form text applications. Due to safety protocols, access to this voice cloning feature is limited to select users, and those interested in gaining access must reach out to the sales team for inclusion on the allowed list. The Instant Custom Voice capability supports a variety of languages, such as English (US), Spanish (US), and French (Canada), ensuring a broad reach for users. Moreover, this service is operational across multiple Google Cloud regions and offers a range of supported output formats, including LINEAR16, OGG_OPUS, PCM, ALAW, MULAW, and MP3, depending on the chosen API method. As voice technology continues to evolve, the possibilities for personalized audio experiences are expanding rapidly.
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