Best AI Voice Assistants
AI voice assistant software enables people to interact with digital devices and systems using natural voice commands, conducting conversations, performing tasks, or transcribing speech into text. It combines automatic speech recognition (ASR), natural language processing (NLP), and AI to interpret spoken input and respond by speaking, performing actions, or retrieving information.
Core Capabilities of AI Voice Assistants Software
To qualify for inclusion in the AI Voice Assistants category, a product must:
- Support natural language understanding (NLU) with high accuracy to ensure consistent caller experiences
- Maintain conversation history to enable multi-turn interactions
- Offer AI-powered call answering tools capable of handling incoming calls at all times
- Ensure scalability to meet varying call volumes and business needs
- Support ASR to convert spoken input into text
- Use natural language generation (NLG) and text-to-speech (TTS) to produce natural-sounding responses
- Include dialogue management to maintain context and support multi-turn conversations
- Respond in real time to enable natural, human-like communication
- Provide seamless human handoff to a live agent for unresolved or complex interactions
How AI Voice Assistants Software Differs from Other Tools
AI voice assistants are commonly integrated with CRM platforms, call center software, and IoT devices, enabling them to update records, trigger workflows, and control connected systems. This sets them apart from simple voice dictation tools, which focus solely on transcription. AI voice assistants are particularly valuable for small to mid-sized businesses seeking to reduce wait times, lower operational costs, and maintain professional customer service without scaling headcount.
Insights from G2 Reviews on AI Voice Assistants Software
According to G2 review data, users highlight real-time responsiveness and seamless human handoff as the most valued capabilities. Reviewers from SMB and mid-market segments note measurable reductions in operational costs and improvements in customer experience consistency when handling high call volumes.
Featured AI Voice Assistants At A Glance
G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.
Retell AI is a powerful conversational AI platform designed to automate voice, SMS, and chat interactions with natural, humanlike performance. Built on top of your choice of large language models (LLM
Retell AI is a tool that allows users to create AI voice agents and receptionists, integrating with various systems and offering customization options. Reviewers appreciate the ease of use, quality of voice output, and the ability to connect to other tools like Google Calendar, praising its well-documented API, automated agent creation, and the flexibility it offers in creating engaging, natural-sounding audio content. Reviewers mentioned issues with the product's speech recognition accuracy, high pricing, lack of compatibility with certain systems, and the need for more granular customization of voice tone and emotion, as well as difficulties in understanding certain functions and integrating automated features.
2,932 Twitter followers
Synthflow provides enterprise-ready voice AI agents that automate inbound and outbound phone calls. Businesses use Synthflow to handle appointment scheduling, lead qualification, customer support, and
Synthflow is a platform for building AI voice agents, designed to integrate with other platforms and deliver a human-like conversational experience for prospects. Reviewers appreciate the natural voice quality, smart contextual responses, and the platform's intuitive, responsive, and flexible interface, which aligns with various business needs and saves countless hours while improving call connect rates and overall lead engagement. Reviewers experienced issues with the pricing, lack of a free trial, occasional bugs, and the complexity of the initial setup, with some users finding the integration with certain CRMs challenging and the customer support lacking.
The Genesys Cloud CX™ platform is trusted by thousands of small, medium and large enterprises and recognized across the globe as an industry-leading cloud call center solution and customer experience
Genesys Cloud CX is a cloud-based platform designed to manage customer interactions across various channels including voice, chat, and email. Users like the platform's flexibility, scalability, and its ability to integrate with third-party systems, as well as its robust analytics and AI-driven insights that optimize customer experience and agent performance. Reviewers mentioned that the initial setup and configuration can be complex, especially for new users, and advanced features can be costly, which may be a challenge for smaller organizations.
32,290 Twitter followers
ElevenLabs is the world’s most advanced generative media and voice AI company, powering creation, localization, and intelligent interaction across every medium. Built around two core platforms—Creativ
ElevenLabs is a voice cloning and text-to-speech software that allows users to create customized audio content. Reviewers appreciate the wide range of voice options, the user-friendly interface, and the ability to create high-quality voiceovers for various applications such as YouTube channels, podcasts, and social media content. Users mentioned issues with the pricing structure, inconsistencies in voice output, limitations in advanced features, and difficulties in understanding some aspects of the user interface.
AI Receptionist is a sophisticated AI-powered call answering and intake solution supported by expert human agents. It helps businesses of all sizes manage client engagement, offering a modernized appr
1,016 Twitter followers
Jotform AI Agents are automated real-time assistants designed to help your users at any time of day or night. AI Agents are the future of customer service. Train and customize your own personal AI Age
Jotform AI Agents is a product designed to automate client interactions and manage administrative tasks, providing 24/7 support by answering client questions and managing service requests. Reviewers frequently mention the ease of setup, the ability to train the AI, and the efficiency of automating client interactions and administrative tasks as key benefits of Jotform AI Agents. Reviewers noted issues with the level of customization in complex conversational flows, occasional bugs, and challenges with the site's user interface and user experience.
39,420 Twitter followers
Kore.ai, a leader in enterprise AI, accelerates business outcomes from AI with agentic AI applications built on the industry-leading Kore.ai Agent Platform. Its growing catalogue includes pre-built so
Kore,aI is a conversational AI platform designed for enterprise use, offering features such as low-code/no-code interface, omnichannel deployment, advanced NLP capabilities, and integrations with major enterprise systems. Users like Kore,aI for its robust dialog management, seamless integration capabilities, customizable workflows, strong support for automation AI use cases, and the ability to reduce operational workload by automating repetitive requests. Users experienced issues with high latency, platform bugs, a steep learning curve, and complexities in switching between teams or domains, and some users found the platform's old architecture and context management to be lacking.
5,648 Twitter followers
CallRail is the lead engagement platform that makes it easy for businesses to attract more leads, convert more customers, and optimize their marketing. Serving more than 220,000 businesses worldwide,
CallRail is a marketing analytics tool that helps users track and optimize their marketing campaigns by identifying which ads, keywords, and campaigns are driving more engagements. Users like CallRail's simplicity, user-friendly interface, and its ability to provide detailed reports, track calls, and integrate with other platforms, making it convenient for business operations. Users experienced issues with CallRail's mobile app functionality, lack of built-in AI voice agent for call routing, and challenges with data updates and integration with third-party apps.
6,087 Twitter followers
Voiceflow is a AI agent platform that empowers product teams at mid-market and enterprise companies to design, deploy, and scale AI agents across chat and voice channels. Trusted by teams at StubHub,
JustCall is the only AI-powered business communication platform that brings calls, texts, email, and WhatsApp together in one place. It helps customer-facing teams work more efficiently, respond faste
JustCall is a cloud-based phone system that enables businesses to manage calls and messages in one place, integrating with various CRM systems for streamlined communication. Reviewers appreciate JustCall's user-friendly interface, reliable call handling, seamless CRM integration, and valuable features such as call recording, automatic logging, and analytics that improve productivity and customer service. Users mentioned issues with inconsistent call quality depending on internet strength, complex advanced features, high pricing for small teams, and occasional delays in loading reports or notifications.
307 Twitter followers
Pyto is a Voice AI platform built for phone-first B2B sales teams selling to small and medium-sized businesses (SMBs). It transforms every inbound inquiry into a live phone conversation, ensuring high
Pyto is a Voice AI tool that automates repetitive outreach and ensures leads are contacted promptly, improving conversion rates and allowing sales teams to focus on high-value conversations. Reviewers frequently mention the significant reduction in manual follow-ups, the increase in qualified conversations, and the ability to handle a high volume of inbound leads without additional hiring. Reviewers noted that the initial setup and configuration of Pyto requires careful attention to align with specific messaging and workflows, and while the team provides support, it is not a plug-and-play solution.
Slang.ai is an automated phone answering platform that enables restaurants to manage reservations, answer questions, and create a best-in-class experience that mimics top employees. Calling a busi
Slang AI is a restaurant voice assistant that manages calls, integrates with OpenTable, and automates customer interactions. Users like Slang AI's ability to decrease manual effort, speed up response times, and provide high-quality support at any hour. Users experienced difficulties with customization and fine-tuning, and found that in some cases, the responses may require further optimization to align with specific business requirements.
FPT.AI is a comprehensive AI platform for business, aiming to elevate customer experience, increase productivity, improve employee experience, and optimize operating expenses. Established in 2017, FPT
31 Twitter followers
Ringg AI is a multilingual Voice AI Platform for businesses that handle high-volume phone calls. It helps automate inbound/outbound conversations—qualifying leads, booking appointments, confirming ord
Thoughtly is an AI go-to-market (GTM) platform that helps businesses activate and convert their warm pipeline through voice-first automation. The platform deploys natural, human-sounding AI voice agen
983 Twitter followers
Learn More About AI Voice Assistants
AI Voice Assistants software buying insights at a glance
AI Voice Assistants help businesses answer, manage, and route voice conversations at scale by combining speech-to-text, language understanding, dialogue management, and natural-sounding voice output. These ai voice agent platforms allow teams to answer calls, handle routine requests, qualify leads, schedule appointments, troubleshoot common issues, and transfer callers to the right human when needed. (Source 1) In practice, AI voice assistants help companies move from rigid phone trees and basic bots to more natural, conversational customer experiences.
As customer expectations for speed and availability continue to rise, AI voice agents are becoming an essential part of the sales and support experience. Many teams now view them less as a nice add-on and more as an always-on front door for handling inbound demand. Businesses often adopt AI-powered voice assistants and AI voice agents to improve coverage, reduce missed calls, and scale operations without hiring ahead of demand.
Buyers usually evaluate AI voice assistants based on how well they handle real conversations, not just polished demos. The biggest pattern I see is that teams comparing AI voice assistant software want tools that can manage call volume reliably, respond with low latency, and hand off cleanly when a human needs to step in. Across the category, satisfaction trends are strong, with an average star rating of 4.62/5 and an average likelihood to recommend of 9.23/10. Price perception is also generally positive, with a median score of 5/7, suggesting buyers see value when usage is predictable and implementation is done well. If you are comparing AI voice assistant platforms, the best fit is usually the one that performs consistently in live call environments, not just the one with the most impressive demo.
Pricing typically follows a usage-based model, with most tools charging based on minutes, calls, conversations, agent seats, or a combination of these factors. Costs can increase quickly as call volume grows, additional phone numbers are added, or more advanced features like higher-quality voices and integrations are required. While overall pricing sentiment tends to be positive, buyers often pay close attention to how predictable and easy it is to forecast costs as usage scales over time.
Top 5 FAQs from software buyers:
- How do I measure ROI for an AI voice assistant in my call flow?
- What integrations do I need for CRM, ticketing, and call center routing?
- How do AI voice agents handle handoff to a human and keep context?
- What is the real setup time for building and testing call flows?
- How do I control voice quality, latency, and compliance requirements?
G2’s top-rated AI Voice Assistant software include Thoughtly, Retell AI, Pyto, and Slang AI.
What are the top-reviewed AI Voice Assistants on G2?
These are 5 of the top-reviews AI Voice Assistant software:
- Retell AI
- Number of Reviews: 1,396
- Satisfaction: 99
- Market Presence: 65
- G2 Score: 82
- ElevenLabs
- Number of Reviews: 1,153
- Satisfaction: 57
- Market Presence: 76
- G2 Score: 67
- Synthflow
- Number of Reviews: 986
- Satisfaction: 88
- Market Presence: 56
- G2 Score: 72
- Kore.AI
- Number of Reviews: 467
- Satisfaction: 25
- Market Presence: 70
- G2 Score: 48
- Voiceflow
- Number of Reviews: 110
- Satisfaction: 38
- Market Presence: 50
- G2 Score: 44
Satisfaction score reflects how happy reviewers are with a product, based on review-driven factors G2 uses to model customer sentiment (not just star rating alone). (Source 2)
Market Presence score reflects a product’s presence and reach in the market, using review data plus additional signals G2 incorporates for market-level context. (Source 2)
G2 Score is the overall score used to compare products within the same category, calculated from Satisfaction and Market Presence components. (Source 2)
What I Often See in AI Voice Assistants
Feedback Pros: What Users Consistently Appreciate
Low-latency calls with human-like voices that stay natural
- “I really appreciate using Ringg AI for its optimal latency and minimal model hallucination, which makes it a great replacement for our manual tele-calling agents with its Voice AI capabilities. I love how integrating Ringg AI with our systems is super simple and straightforward. The team behind Ringg AI is extremely responsive and proactive, making the experience smooth and effective. Ringg AI has increased our overall operational efficacy, reduced overhead costs on manpower, and provided us with enriched insights on collection calls. I'd highly recommend it.” - Anusree Nandy, Ringg AI Review
Fast initial setup using drag-and-drop flows and integrations
- “I use Voiceflow to design and prototype conversational AI chatbots and voice applications. Its visual drag-and-drop interface makes building, testing, and iterating conversational flows quick and straightforward. The platform supports team collaboration and API integrations, which boosts development efficiency. I really like its intuitive visual builder that makes designing complex conversational flows simple and easy to comprehend. Fast prototyping and real-time testing help me identify and resolve issues early in the development process…” - Sainath N. Voiceflow Review
Voice cloning and multilingual options for consistent brand tone
- “The platform is incredibly intuitive to use with the largest and highest-quality voice library available. Voice cloning works surprisingly accurately, capturing nuances that other services miss. The AI Enhance feature adds natural liveliness to text that would otherwise sound robotic. Extensive customization options let me fine-tune voices for different projects and objectives, and the range of additional features keeps expanding with genuinely useful tools.” - Evgenii B. ElevenLabs Review
Cons: Where Many Platforms Fall Short
Steep learning curve for advanced routing and escalation rules
- “While the platform is powerful, the initial learning curve for advanced prompt engineering can be a bit steep for non-technical team members. I would also like to see an even wider variety of localized accents for international markets beyond the standard options. Occasionally, the dashboard analytics could provide deeper granular insights into specific call drop-off points, though the current tools are still very functional. Lastly, while the Customer Support is helpful, having more extensive video documentation for niche edge-case scenarios would be a great addition to their already solid help center.” - Fabrizzo A. Synthflow Review
Usage-based pricing gets hard to predict during volume spikes
- “It takes some initial setup and testing to get the messaging right, especially for different regions and use cases. Very technical or strategic discussions still need to be handled directly by me.Usage-based costs are something to keep an eye on as outreach volume increases.” - Mo F. TalkerIQ Review
Edge cases fail on complex, multi-step questions without guardrails
- “Setup takes real operational thinking: you need solid call flows, escalation rules, and client-specific knowledge boundaries. If you rush onboarding, the AI will sound less confident or ask redundant questions. Edge cases still require human takeover: complex billing disputes, emotionally charged callers, or policy exceptions still need a fast warm transfer path (TalkerIQ supports transfer, but you must design it well).” - Prashant S. TalkerIQ Review
My Expert Takeaway on AI Voice Assistants in 2026
Teams that get the most value from AI voice assistants treat them as a system that evolves over time, not a phone tool you set up once and forget. Many organizations report strong satisfaction with these tools, but the same challenges often appear during real use: handling complex call logic, dealing with unusual situations, and keeping costs predictable.
Because of this, successful teams usually build a tight feedback loop. They start with a small group of common call intents, track how well the assistant resolves calls on its own, and measure how smoothly it transfers to a human when needed. Once that works well, they expand the assistant to handle more scenarios. This is where strong AI voice agent platforms stand out. It is not only about whether the assistant can talk. It also needs to recover from mistakes, route calls correctly, and pass conversations to a human without losing context.
There are also clear patterns across industries. Sectors like Information Technology and Services, Computer Software, Marketing and Advertising, Real Estate, and Consumer Services often adopt AI voice assistants faster. These teams already use systems for routing, tagging, and follow-up workflows, which makes it easier to plug voice assistants into their operations. Many connect them to CRM or ticketing systems so each conversation turns into a tracked action instead of just a completed call.
Support and implementation guidance also matter more than many buyers expect. Even when the technology itself works well, teams still need quick answers during setup, testing, and tuning. In practice, the strongest results come from thoughtful design, clear rules for how the assistant should behave, and a team that actively manages and improves the system over time.
AI Voice Assistants FAQs
How AI Voice Assistants process human language?
AI voice assistants process human language in four main steps. First, automatic speech recognition converts spoken audio into text. Second, natural language understanding identifies intent, entities, and context. Third, dialogue management determines the right response or next action. Finally, text-to-speech generates a natural voice reply. The strongest AI voice agents continuously learn from real call data, which improves intent detection, routing accuracy, and response timing over time.
How to price AI Voice Agents?
Most AI voice agent platforms use usage-based pricing. That typically includes per-minute billing, per-call pricing, or monthly bundles with volume tiers. Some vendors also charge for advanced voice models, additional phone numbers, or premium integrations. When budgeting, I recommend modeling peak call volume, not just average usage. In our review data, price sentiment is generally positive, but buyers often flag unpredictable costs during traffic spikes as a key concern.
Which AI voice assistant offers the best natural language processing?
Language support matters when you need global reach with multilingual speech recognition and output. In the G2 category, these tools are often noted for broad language options or extensible voice models:
- ElevenLabs – Offers expressive multilingual text-to-speech and voice cloning, making it a strong choice where natural voice in many languages matters.
- PolyAI – Built for enterprise-grade conversational AI, with a focus on natural dialogue management and human-like back-and-forth interactions in contact center environments.
- Voiceflow – A visual builder that integrates multiple voice models and supports international deployments in complex voice scenarios.
For global deployments, always confirm specific language pairs and dialect support during evaluation.
Which AI voice assistant supports the most languages?
Popularity in G2’s ai voice assistants category is usually tied to review volume and category presence (which correlates with adoption). According to the G2 category leaderboard:
- Retell AI – Among the most reviewed and high-rated products in the category.
- Deepgram - Provides multilingual speech recognition with strong transcription accuracy across accents and dialects.
- Lovo AI - Offers a broad library of AI-generated voices across multiple languages and regional variations.
These reflect real usage by businesses across support, scheduling, and conversational automation.
What are the top 3 most popular voice assistants?
- Synthflow - Frequently adopted by small and mid-sized businesses for fast deployment of conversational call flows.
- Slang AI - Focuses on hospitality and service industries, helping businesses automate inbound phone calls at scale.
- Kore.ai - Offers enterprise NLP capabilities with strong intent detection and workflow orchestration for customer service and support automation.
What is the best AI voice assistant?
- ElevenLabs - ElevenLabs is widely recognized for high-fidelity, natural speech synthesis that makes automated voice interactions sound remarkably human. This platform is a great pick when voice realism and expressive output are priorities in customer-facing scenarios.
- Retell AI - Retell AI is focused on building practical AI voice agents that handle inbound and outbound calls, intelligent routing, and dialogue context with strong real-world accuracy. Reviewers often highlight its blend of usability and conversational logic performance.
- Genesys Cloud CX - Genesys Cloud CX integrates AI voice capabilities into a full contact center platform, making it ideal for enterprise teams that need end-to-end customer engagement, analytics, and voice automation all in one suite.
Sources
- G2 category definition and inclusion criteria for AI Voice Assistants.
- G2 Research Scoring Methodologies (Satisfaction, Market Presence, and G2 Score definitions).
Researched by: Shalaka Joshi
Last Updated on: March 19, 2026
