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I tested 8 different Voice AI tools for my business and was shocked by the results - What's your experience with Voice AI?

r/aiagents
8/15/2025

Content Summary

The post author tested 8 different Voice AI tools over 8 months for their consulting business and found the results surprising. They are seeking input from the community about which tools others are using, what they like or dislike, and any challenges they've faced. Several commenters shared their experiences, highlighting issues like inaccurate speech generation, lack of multi-speaker support, and security concerns. Some recommended alternatives like ElevenLabs and Play.ht. Others discussed problems with specific tools like Podcastle and Speechify, while also expressing interest in the author's final takeaways.

Opinion Analysis

Mainstream opinion seems to be that Voice AI is still in its early stages and has significant room for improvement, especially in terms of accuracy, naturalness, and handling complex text. Many users are frustrated with current limitations, such as poor multi-speaker support and inconsistent speech quality. There is also concern about security, with some users warning about malicious software disguised as Voice AI tools. However, there is a positive outlook for future improvements, and some users are experimenting with tools like ElevenLabs and Retell. A few users expressed skepticism about the author's claims, questioning the value of the post itself.

SAAS TOOLS

SaaSURLCategoryFeatures/Notes
Podcastlehttps://podcastle.comVoice AIHad issues with inserting random words and pauses; no multi-speaker support
Envato Elementshttps://elements.envato.comVoice AIGood voices, no errors in speech; no multi-speaker support
ElevenLabshttps://elevenlabs.ioVoice AIMentioned as an alternative for multi-speaker support
Play.hthttps://play.htVoice AIMentioned as an alternative for multi-speaker support
Retellhttps://retell.aiVoice AIUsed by a commenter, described as 'solid'
Speech CentralN/AVoice AICriticized for poor accuracy and pronunciation
SpeechifyN/AVoice AIAlso criticized for poor accuracy and pronunciation

USER NEEDS

Pain Points:

  • Inconsistent or inaccurate voice generation (e.g., inserting random words, incorrect punctuation handling)
  • Poor handling of complex text elements (e.g., parentheses, heteronyms, time/coordinates)
  • Lack of multi-speaker support in many tools
  • High latency and pricing issues
  • Security concerns with some Voice AI tools

Problems to Solve:

  • Improve accuracy and naturalness of AI-generated speech
  • Support for multi-speaker scripts
  • Better handling of technical and contextual language
  • More affordable pricing models
  • Enhanced security and transparency in Voice AI offerings

Potential Solutions:

  • Use of more advanced AI models for better speech synthesis
  • Development of tools that support multi-speaker scripts without manual workarounds
  • Increased focus on security and user trust in Voice AI platforms

GROWTH FACTORS

Effective Strategies:

  • Testing and iterating on product features based on real-world use cases
  • Building a strong community around the product through user feedback and engagement
  • Focusing on niche markets (e.g., small businesses, content creators) where Voice AI can provide significant value

Marketing & Acquisition:

  • Leveraging user experiences and testimonials to build credibility
  • Engaging with communities like r/aiagents to gather insights and promote the product

Monetization & Product:

  • Balancing affordability with high-quality service to attract small businesses
  • Highlighting unique features such as multi-speaker support and natural-sounding voices
  • Addressing pain points like security and accuracy to improve product-market fit

User Engagement:

  • Encouraging user feedback and using it to guide product development
  • Creating forums or discussion spaces for users to share experiences and tips