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69 Listings in AI Voice & Speech Available
What is Ultravox? Ultravox is a real-time voice AI infrastructure layer that powers fast, natural and scalable voice agents. Key capabilities of Ultravox Voice agents: Real-time conversational agents. SIP calling: $0.005 per minute on pay as you go. Custom voices: Up to 5 on Pro. RAG corpora: 20 on Pro. Outbound scheduler: Included in Pro. Unlimited playground: On all plans. How Ultravox works Developers build agents on the Ultravox API and connect calls through SIP or WebRTC. Concurrency is capped at 5 calls on pay as you go and removed on Pro. Who uses Ultravox? Developers and companies building phone and web voice agents who want usage-based pricing without surge pricing. Ultravox pricing Pay as You Go gives 30 free minutes then $0.05 per minute. Pro is $100 per month with no concurrency cap. Enterprise is custom. Ultravox alternatives Pipecat is an open-source voice framework, Millis AI is a voice agent API and Replicant sells contact center automation. Ultravox is a hosted voice infrastructure with published per-minute rates.
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What is Bolna? Bolna is a voice agent orchestration AI agent offering an open-source platform for building and deploying conversational voice AI agents for calls. Founded in 2024 and based in India, Bolna helps developers and businesses automating calls automate voice agent orchestration work and get results faster. Key capabilities of Bolna Voice agent builder Telephony integration Model choice Call analytics Multilingual voice calls CRM call logging How Bolna works Bolna takes voice as input and produces voice. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Twilio, Exotel, Salesforce and HubSpot, so the agent works inside existing workflows. Who uses Bolna? Bolna is built for developers and businesses automating calls. It suits teams that want voice agent builder and telephony integration without adding headcount, while keeping people in control of review and final decisions. Bolna vs Vapi Bolna is often compared with Vapi. Bolna stands out for voice agent builder and model choice. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Kyutai? Kyutai is an artificial intelligence research lab headquartered in Paris whose stated goal is to build and democratize artificial general intelligence through open science. It releases models, code and demos. Key capabilities of Kyutai Moshi: A speech-native dialogue system that processes speech directly Unmute: Lets any LLM listen and speak with streaming speech-to-text and text-to-speech Pocket TTS: A 100 million parameter text-to-speech model that runs on CPU faster than real time Hibiki: Speech-to-speech translation Helium 1: A 2B-parameter multilingual language model MIRA: A real-time world model How Kyutai works Developers download models and code from GitHub and Hugging Face and run them locally or on their own infrastructure. Moshi handles real-time conversation without converting speech to text first. Who uses Kyutai? Researchers and developers who want open speech models. Kyutai is funded by Iliad Group, CMA CGM Group and Schmidt Sciences. Kyutai pricing Kyutai releases models and code under open-source licenses at no cost. Check each repository for license terms. Kyutai alternatives Alternatives include Speechmatics and Gladia for speech APIs and Hume AI for expressive voice. Kyutai is notable for open weights and research releases.
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What is interface.ai? interface.ai is a voice AI for banking AI agent offering voice and chat AI agents for credit unions and banks that handle member calls end to end. interface.ai helps credit unions and community banks automate voice AI for banking work and get results faster. Key capabilities of interface.ai Voice AI for member calls Digital chat assistant Account actions Agent assist Regulatory compliance Omnichannel support How interface.ai works interface.ai takes audio and text as input and produces audio and actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Core banking systems, Salesforce, Jack Henry and Fiserv, so the agent works inside existing workflows. Who uses interface.ai? interface.ai is built for credit unions and community banks. It suits teams that want voice AI for member calls and digital chat assistant without adding headcount, while keeping people in control of review and final decisions. interface.ai vs Posh interface.ai is often compared with Posh. interface.ai stands out for voice AI for member calls and account actions. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Nurix AI? Nurix AI is an enterprise voice agents AI agent offering AI voice and chat agents for enterprise sales and support in multiple languages. Founded in 2024 and based in Bengaluru, India, Nurix AI helps enterprises in India and the US automate enterprise voice agents work and get results faster. Key capabilities of Nurix AI Voice AI agents Multilingual conversations CRM actions Analytics Indian language support Enterprise deployment How Nurix AI works Nurix AI takes audio and text as input and produces audio and actions. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WhatsApp, Salesforce, SAP and Microsoft Teams, so the agent works inside existing workflows. Who uses Nurix AI? Nurix AI is built for enterprises in India and the US. It suits teams that want voice AI agents and multilingual conversations without adding headcount, while keeping people in control of review and final decisions. Nurix AI vs Gnani.ai Nurix AI is often compared with Gnani.ai. Nurix AI stands out for voice AI agents and CRM actions. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Hostie? Hostie is an AI virtual concierge for restaurants and hospitality groups. It answers incoming calls, texts and emails in the restaurant voice so guest communication is not missed while staff focus on in-person service. Key capabilities of Hostie Call answering: Handles calls with custom prompts in the restaurant voice. Unified inbox: Manages calls, texts, emails, Instagram and Google Maps messages in one dashboard. Live transcripts: Shows conversations in real time so staff can jump in. Reservation handling: Covers bookings, party size changes and cancellations. Takeout ordering: Automated takeout ordering on the Premium tier. Multilingual support: Up to 20 languages on Premium. Operator app: Alerts staff and escalates complex situations. How Hostie works The AI answers inbound calls and messages, resolves common questions such as reservations and cancellations, and hands complex cases to staff. Owners can watch transcripts live and step in at any time, and retain ownership of their data. Hostie states its team is staffed by experienced restaurant operators. Who uses Hostie? Walk-in restaurants, full-service restaurants with reservations and takeout, and multi-location hospitality groups that miss calls during service. Hostie pricing Hostie lists three tiers, Essential, Premium and Hospitality Plus, but does not publish dollar prices. Contact sales via the pricing page. A free trial is offered through the sign-up flow. Hostie alternatives Hostie is aimed at restaurants specifically. VoicePlug and Kea offer AI phone answering for restaurants and other businesses, while Smallest.ai provides voice AI building blocks.
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What is ConverseNow? ConverseNow is a voice AI ordering solution for restaurants. It handles customer conversations and order processing with customizable brand tone, persona, upsell logic and localization. Key capabilities of ConverseNow Voice ordering: handles customer calls and takes orders Brand customization: tone, persona and localization settings Upsell logic: configurable upsell prompts Multilingual recognition: voice recognition in multiple languages 24/7 service: automated service with live support backup POS integration: connects to nine POS partners How ConverseNow works ConverseNow answers customer conversations, takes the order and sends it into the restaurant POS system. Operators configure tone, persona and upsell logic. The AI learns from conversations over time, and live support is available as backup. Who uses ConverseNow? ConverseNow serves restaurant brands, with Denny's, Domino's, Wingstop, Hardee's, Jets Pizza and Fazoli's listed as customers. The vendor reports more than 2 million conversations a month and 83,000 labor hours repurposed monthly. ConverseNow pricing ConverseNow does not publish prices. Restaurants book a consultation for a quote. ConverseNow alternatives Alternatives include SoundHound for voice AI across industries and Slang.ai for restaurant reservation calls.
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What is WIZ.AI? WIZ.AI is an enterprise voice AI platform for Southeast Asian markets. It has four components: Wizlynn for inbound service, Talkbot for outbound campaigns, Quality Management for call monitoring and Language Engine for multilingual support. Key capabilities of WIZ.AI Wizlynn: Inbound voice service agent. Talkbot: Outbound campaign calls. Quality Management: Compliance-driven QA with active guardrails. Language Engine: 16+ languages including Singlish and Bahasa. Routing and handoff: Multi-intent routing, FAQ handling and live agent handoff. Mid-call language switching: Change language during a call. How WIZ.AI works Wizlynn answers inbound calls and Talkbot places outbound campaigns, while Language Engine handles languages such as English, Singlish, Bahasa, Thai, Tagalog, Vietnamese, Malay, Brazilian Portuguese and Mexican Spanish. Quality Management monitors calls with guardrails. The vendor cites responses under 2 seconds, 91.67% resolution, 95.88% intent accuracy and deployment live by Day 2. Who uses WIZ.AI? Financial services, banking and customer service teams. The vendor reports 300+ enterprise clients in 17 countries processing 100M+ AI calls monthly. WIZ.AI pricing No pricing is shown on the homepage. The vendor requires a demo request to discuss specifics. WIZ.AI alternatives Related tools include SoundHound, SmartAction, Slang.ai and ConverseNow for voice AI, and ElevenReader for text-to-speech.
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What is WellSaid Labs? WellSaid Labs is an enterprise text-to-speech AI agent offering enterprise AI voiceover with licensed voice talent for training and product content. Founded in 2018 and based in Seattle, Washington, USA, WellSaid Labs helps enterprise L&D and product teams automate enterprise text-to-speech work and get results faster. Key capabilities of WellSaid Labs Studio-quality AI voices Pronunciation controls Team collaboration API Voice cloning Multilingual voices How WellSaid Labs works WellSaid Labs takes text as input and produces audio. It is powered by WellSaid (in-house models) models, with the vendor managing prompts, models and updates. It connects to tools such as YouTube, Adobe Premiere Pro, Canva and Zapier, so the agent works inside existing workflows. Who uses WellSaid Labs? WellSaid Labs is built for enterprise L&D and product teams. It suits teams that want studio-quality AI voices and pronunciation controls without adding headcount, while keeping people in control of review and final decisions. WellSaid Labs vs Murf WellSaid Labs is often compared with Murf. WellSaid Labs stands out for studio-quality AI voices and team collaboration. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Thoughtly? Thoughtly is a phone agent AI agent offering a no-code platform for building AI voice agents that handle inbound and outbound business calls. Thoughtly helps sales and support teams automate phone agent work and get results faster. Key capabilities of Thoughtly No-code agent builder Inbound and outbound calls CRM integrations Call analytics Low-latency conversations Telephony integration How Thoughtly works Thoughtly takes voice as input and produces voice and text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Twilio, WebRTC, OpenAI and Deepgram, so the agent works inside existing workflows. Who uses Thoughtly? Thoughtly is built for sales and support teams. It suits teams that want no-code agent builder and inbound and outbound calls without adding headcount, while keeping people in control of review and final decisions. Thoughtly vs Synthflow Thoughtly is often compared with Synthflow. Thoughtly stands out for no-code agent builder and CRM integrations. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Jellypod? Jellypod is an AI content platform that converts documents, scripts, URLs and ideas into finished podcasts, videos, shorts and voiceovers. It writes the script, generates the voices and illustrations, and hosts and publishes the result without a studio or editing software. Key capabilities of Jellypod AI podcasts: multi-character conversations generated from documents, URLs or prompts Video styles: whiteboard, claymation, paper cutout and stickman videos Short-form video: vertical shorts for social media Voice library: 3,300+ voices across 121 languages with accent options Voice cloning: clone a voice from a 60-second recording Podcast hosting: custom domains, RSS feeds and one-click publishing to Spotify, Apple Podcasts and YouTube Scheduled episodes: recurring generation with web search for news-based shows Analytics: plays by country, app and episode How Jellypod works You upload PDFs, slides, notes, audio or paste a URL or script, choose characters, voices and a format, and Jellypod drafts the script and renders audio or video. Episodes can be scheduled to regenerate on a recurring basis using web search. Publishing to podcast apps and YouTube is built in, and a REST API and MCP server allow use from developer tools and AI assistants. Who uses Jellypod? Jellypod lists educators at universities such as Columbia, Penn State and Ohio State, marketing teams at Zendesk, Salesforce and Xerox, healthcare professionals and creators. Jellypod pricing Jellypod offers a 7-day free trial with 5,000 credits and podcast hosting included. Paid tier prices were not confirmed from the vendor page reviewed, so check the pricing page for current plans. Jellypod alternatives Alternatives include Google NotebookLM for audio overviews from documents, ElevenLabs for voice generation and cloning, and Wondercraft for AI podcast production.
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What is Wispr Flow? Wispr Flow is a voice dictation AI agent offering AI voice dictation that turns natural speech into clean, formatted text in any app. Founded in 2021 and based in San Francisco, California, USA, Wispr Flow helps professionals and developers automate voice dictation work and get results faster. Key capabilities of Wispr Flow Dictation in any app Auto-editing of filler words Personal dictionary Multilingual Works in any app Custom vocabulary How Wispr Flow works Wispr Flow takes audio as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as macOS, Windows, iOS and Slack, so the agent works inside existing workflows. Who uses Wispr Flow? Wispr Flow is built for professionals and developers. It suits teams that want dictation in any app and auto-editing of filler words without adding headcount, while keeping people in control of review and final decisions. Wispr Flow vs Superwhisper Wispr Flow is often compared with Superwhisper. Wispr Flow stands out for dictation in any app and personal dictionary. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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AI voice and speech tools convert text to lifelike speech, transcribe speech to text, clone voices, and power voice agents for calls and devices. This guide explains what AI voice software is, how it works, the capabilities that matter, and how to choose a platform.
AI voice and speech tools convert text to lifelike speech, transcribe speech to text, clone voices, and power voice agents for calls and devices. This guide explains what AI voice software is, how it works, the capabilities that matter, and how to choose a platform.
AI voice and speech software covers several capabilities: text-to-speech (TTS) that generates natural-sounding audio, speech-to-text (STT/ASR) that transcribes audio, voice cloning that recreates a specific voice, and conversational voice agents that handle phone and device interactions.
It powers voiceovers and audiobooks, IVR and voice agents for customer service, real-time transcription and captioning, accessibility, and voice interfaces in apps and devices, across many languages and accents.
The category has advanced to near-human realism for TTS and high-accuracy STT, with growing emphasis on low latency for real-time agents, multilingual coverage, and ethical safeguards around voice cloning and consent.
For TTS, the system converts text into audio using a chosen voice, style, and language. For STT, it transcribes audio in real time or batch. Voice agents combine STT, an LLM, and TTS to hold spoken conversations and take actions.
Platforms expose models via APIs and SDKs, with controls for voice selection, emotion/style, speed, pronunciation, and language, plus features like voice cloning (with consent), diarization, and noise handling.
Developers and teams integrate voice into apps, contact centers, and content workflows; for agents, they connect telephony, knowledge, and business systems and set guardrails and escalation.
Lifelike, expressive synthetic voices across many languages, styles, and use cases.
Real-time and batch transcription with speaker diarization and noise robustness.
Recreate a specific voice for branded narration or personalization, governed by consent controls.
Low-latency voice bots that understand, respond, and take actions on calls and devices.
Broad language and accent coverage, plus dubbing and translation for global reach.
Developer APIs/SDKs, low-latency streaming for real-time use, and safeguards against voice misuse.
Produce voiceovers, audiobooks, and narration fast without studios or voice actors for every project.
Voice agents handle routine calls 24/7, reducing wait times and contact-center cost.
TTS and captioning make content accessible and usable for more people.
Multilingual voices and dubbing localize content and support across markets.
Real-time transcription and captioning speed up media, meeting, and support workflows.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Text-to-speech / voiceover | Narration, audiobooks, content | Any | Lifelike, fast, multilingual | May need tuning for emotion/pronunciation |
| Speech-to-text / transcription | Captioning, notes, analytics | Any | Accurate, real-time options | Accents/jargon affect accuracy |
| Conversational voice agents | Phone/IVR and device assistants | SMB to enterprise | Automates calls end to end | Latency-sensitive; needs guardrails |
| Voice cloning / dubbing | Branded voice, localization | Mid-market to enterprise | Consistent brand voice across languages | Consent and misuse risk |
Media: Generate voiceovers, audiobooks, and dubbed content at scale.
Technology: Add voice interfaces, transcription, and voice agents to products.
Financial Services: Automate voice support with guardrails and compliance.
Healthcare: Transcribe and caption with strict privacy controls.
Retail & E-commerce: Handle order and support calls with voice agents.
Education: Narrate learning content and caption lectures for accessibility.
Test TTS naturalness or STT accuracy on your real content, voices, accents, and terminology.
For real-time voice agents, low latency is critical, test conversational responsiveness.
Confirm coverage of the languages, accents, and voice styles you need.
For voice cloning, verify consent controls and safeguards against misuse and fraud.
Check API/SDK quality, telephony and platform integrations, and developer experience.
Review data handling and training policies, and understand per-character/minute pricing at scale.
TTS realism and emotional expressiveness are approaching human parity, and STT accuracy keeps improving across languages.
Low-latency, full-duplex voice agents are making natural spoken conversations with AI practical at scale.
Consent frameworks, watermarking, and anti-fraud safeguards are emerging to counter voice deepfakes.
Buyers should prioritize quality and latency for their use case, language coverage, strong consent and anti-misuse controls, and transparent data governance.
It's a category of tools that convert between text and speech and power voice interactions: text-to-speech (TTS) for lifelike synthetic narration, speech-to-text (STT) for transcription, voice cloning to recreate a specific voice, and conversational voice agents that handle calls and device interactions. It's used for voiceovers, IVR and support agents, transcription and captioning, accessibility, and voice interfaces across many languages.
Modern TTS is highly natural and often near-human, with control over voice, style, emotion, and language. Quality varies by voice and language, and some content may need pronunciation or emotion tuning. Test the specific voices and languages you need on your real scripts before committing.
Cloning a voice requires the consent of the person whose voice it is, using someone's voice without permission is unethical and often illegal, and enables fraud and deepfakes. Reputable vendors enforce consent verification and anti-misuse safeguards. Only clone voices you have clear rights and consent to use, and confirm the vendor's protections.
Speech-to-text is highly accurate for clear audio in supported languages, but accuracy drops with strong accents, technical jargon, crosstalk, and poor audio quality. Look for speaker diarization, noise robustness, and the ability to customize vocabulary, and test on your real recordings.
Yes. Conversational voice agents combine speech-to-text, an LLM, and text-to-speech to hold spoken conversations, answer questions, and take actions on calls and devices. The key requirement is low latency, test end-to-end responsiveness, and ensure guardrails and clean escalation to humans.
It depends on the vendor. Confirm encryption, access controls, retention policies, and whether your audio and voice data are used to train shared models. Given that voice is biometric and sensitive, strong data governance and, for cloning, consent controls are essential.
Common models are per-character or per-minute usage (for TTS and STT), per-minute or per-call for voice agents, and sometimes per-seat. High-volume audio can get expensive, so estimate your usage and check limits and premium-voice or real-time pricing tiers.
Identify your use case (TTS, STT, agents, or cloning), then prioritize quality and accuracy on your content, latency for real-time agents, language and voice coverage, consent and anti-misuse safeguards, API and integration quality, data governance, and pricing at scale. Trial on real audio before adopting.
