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69 Listings in AI Voice & Speech Available
What is Play.ht? Play.ht is a voice generation and agents AI agent offering AI voice generation, cloning and voice agents with a low-latency API. Founded in 2016 and based in San Francisco, California, USA, Play.ht helps developers and creators automate voice generation and agents work and get results faster. Key capabilities of Play.ht Realistic TTS Voice cloning Voice agents Low-latency API Multilingual voices How Play.ht works Play.ht takes text and audio as input and produces audio. It is powered by PlayHT (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 Play.ht? Play.ht is built for developers and creators. It suits teams that want realistic TTS and voice cloning without adding headcount, while keeping people in control of review and final decisions. Play.ht vs ElevenLabs Play.ht is often compared with ElevenLabs. Play.ht stands out for realistic TTS and voice agents. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Leaping AI? Leaping AI provides enterprise AI voice and text agents for customer service and appointment booking. The agents handle inbound calls, outbound campaigns and SMS conversations without requiring a separate phone system. Key capabilities of Leaping AI Inbound call answering: responds to every call within seconds Appointment booking: schedules and confirms appointments with callers Outbound campaigns: lead qualification calls at scale SMS follow-ups: text confirmations and reminders Call recording: recordings, transcripts and searchable logs Analytics: real-time dashboards and call summaries Human handoff: transfers to staff when needed How Leaping AI works Calls and texts are answered by a conversational agent that talks to the customer, books appointments and records outcomes. Calls are recorded and transcribed, with summaries and analytics available in a dashboard. Data syncs to HubSpot, Lead Perfection or custom tools so staff have context, and the agent can hand off to a human. Who uses Leaping AI? The vendor publishes case studies from Eurowings and Thompson Creek Window Company. It fits service businesses and enterprises with high call volume and appointment-driven sales or support. Leaping AI pricing Leaping AI does not publish prices. Its pricing page directs buyers to request a quote, and plans are scoped through a demo. Leaping AI alternatives Alternatives include Retell AI and Bland AI for voice agent platforms, Synthflow for no-code voice agents, and PolyAI for enterprise conversational voice.
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What is Hume AI? Hume AI is an empathic voice AI agent offering empathic voice AI that understands and expresses emotion in real-time conversation. Founded in 2021 and based in New York, New York, USA, Hume AI helps developers building voice experiences automate empathic voice work and get results faster. Key capabilities of Hume AI Empathic Voice Interface Expressive TTS Emotion measurement Developer API Voice cloning Multilingual voices How Hume AI works Hume AI takes audio and text as input and produces audio and insights. It is powered by Hume EVI and Octave 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 Hume AI? Hume AI is built for developers building voice experiences. It suits teams that want Empathic Voice Interface and expressive TTS without adding headcount, while keeping people in control of review and final decisions. Hume AI vs Cartesia Hume AI is often compared with Cartesia. Hume AI stands out for Empathic Voice Interface and emotion measurement. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is AI-Media? AI-Media is a captioning and translation provider whose LEXI toolkit delivers AI-generated live and recorded captions, caption translation, voice translation and audio description. It also supplies encoders and viewers for delivering captions. Key capabilities of AI-Media LEXI Text: live automatic captioning LEXI Recorded: captions for recorded media LEXI Translate: caption translation LEXI Voice: real-time voice translation LEXI AD: automated audio description LEXI Local: on-premises secure solution LEXI DR: disaster recovery How AI-Media works Audio from a broadcast or event feeds into an encoder, either SDI hardware, an IP virtual or cloud encoder, or the LEXI Text Encoder, and LEXI generates captions that are delivered to viewers or displays. Delivery supports SDI, IP, RTMP and 4K workflows. Who uses AI-Media? Broadcasters, event producers and organizations that need accessible live captions in media workflows. The vendor positions LEXI as AI live captions rivalling human quality. AI-Media pricing AI-Media uses a Hardware-as-a-Subscription model with OpEx-based billing and a 12-month minimum term. It does not publish dollar prices. AI-Media alternatives 3Play Media and Verbit provide captioning and transcription services, while ElevenLabs, Listnr and Hume AI are voice AI tools rather than caption delivery systems.
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What is Smallest.ai? Smallest.ai is a real-time voice AI suite for enterprises, built on the belief that specialized small models will outperform generalist ones. It offers speech models and a platform for configuring and deploying voice agents. Key capabilities of Smallest.ai Lightning: text-to-speech with 100 ms latency across 15+ languages Pulse: speech-to-text in 38 languages with emotion and speaker detection Electron: a sub-3B language model the vendor says outperforms GPT-4.1 Hydra: native speech-to-speech model built for production Voice Agents platform: configure and deploy agents Voice cloning: and an agent playground How Smallest.ai works Developers call the speech models directly or assemble agents on the Voice Agents platform, testing them in the playground before deployment. Pulse transcribes, a language model such as Electron reasons, and Lightning speaks, while Hydra offers a single speech-to-speech path. Who uses Smallest.ai? Enterprises building call center, support and conversational voice products. The vendor states SOC 2 Type 2, ISO 27001, GDPR and HIPAA compliance. Smallest.ai pricing Smallest.ai did not show prices on the page reviewed, and it points to documentation for agents and models. Smallest.ai alternatives ElevenLabs and Murf are widely used voice generation tools, Typecast and Narakeet focus on text-to-speech content, and Gnani.ai builds voice AI for contact centers. Smallest.ai stresses small low-latency models.
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What is Narakeet? Narakeet is a text-to-speech video AI agent offering a text-to-speech tool that turns scripts and slides into narrated audio and videos. Founded in 2020 and based in London, United Kingdom, Narakeet helps educators and content creators automate text-to-speech video work and get results faster. Key capabilities of Narakeet Realistic TTS voices Slides to video 100+ languages Batch narration Multilingual voices Real-time processing How Narakeet works Narakeet takes text and documents as input and produces audio and video. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Twilio, Zoom, Salesforce and Zapier, so the agent works inside existing workflows. Who uses Narakeet? Narakeet is built for educators and content creators. It suits teams that want realistic TTS voices and slides to video without adding headcount, while keeping people in control of review and final decisions. Narakeet vs Murf Narakeet is often compared with Murf. Narakeet stands out for realistic TTS voices and 100+ languages. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Gladia? Gladia is a speech-to-text API for developers building voice products. It offers asynchronous and real-time transcription with speaker diarization and word-level timestamps across more than 100 languages. Key capabilities of Gladia Async transcription: batch processing of recorded audio Real-time transcription: live streaming speech-to-text 100+ languages: automatic language detection Speaker diarization: labels who spoke when Word-level timestamps: precise timing for each word Compliance: GDPR, HIPAA and AICPA SOC 2 Type 2 How Gladia works Developers send audio to the Gladia API as a file for asynchronous transcription or as a live stream for real-time transcription. The response returns text with word-level timestamps and speaker labels. Customers pay from a prepaid credit wallet with optional auto top-up. Who uses Gladia? Gladia is aimed at developers and product teams adding transcription to apps, meeting tools and call platforms. The Starter tier caps concurrency at 30 real-time and 25 async requests, while Growth and Enterprise are flexible or unlimited. Gladia pricing Starter is pay-as-you-go at $0.61 per hour async and $0.75 per hour real-time. Growth is commitment-based from $0.20 per hour async and $0.25 real-time, and Enterprise is custom. Gladia alternatives Alternatives include Cartesia for voice models, Hume AI for emotion-aware voice and Respeecher for voice cloning.
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What is Prepared? Prepared is an AI for 911 AI agent offering AI for emergency communications that transcribes, translates and assists 911 calls. Founded in 2019 and based in New York, New York, USA, Prepared helps 911 centers and public safety agencies automate AI for 911 work and get results faster. Key capabilities of Prepared Real-time call transcription Live translation Non-emergency call AI Incident summaries Real-time insights Secure data handling How Prepared works Prepared takes audio as input and produces text and insights. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as CAD systems, Salesforce, Blackbaud Raiser's Edge and Microsoft Teams, so the agent works inside existing workflows. Who uses Prepared? Prepared is built for 911 centers and public safety agencies. It suits teams that want real-time call transcription and live translation without adding headcount, while keeping people in control of review and final decisions. Prepared vs Carbyne Prepared is often compared with Carbyne. Prepared stands out for real-time call transcription and non-emergency call AI. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Vbee? Vbee is a Vietnamese text-to-speech AI agent offering a Vietnamese voice AI company offering natural text-to-speech, AI voice calls and audio content tools. Based in Hanoi, Vietnam, Vbee helps Vietnamese businesses and creators automate Vietnamese text-to-speech work and get results faster. Key capabilities of Vbee Vietnamese TTS AI calling Audiobook voices Voice cloning Local language understanding Messaging channel bots How Vbee works Vbee takes text 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 LINE, WhatsApp, Facebook Messenger and Zalo, so the agent works inside existing workflows. Who uses Vbee? Vbee is built for Vietnamese businesses and creators. It suits teams that want Vietnamese TTS and AI calling without adding headcount, while keeping people in control of review and final decisions. Vbee vs FPT.AI Vbee is often compared with FPT.AI. Vbee stands out for Vietnamese TTS and audiobook voices. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Scribie? Scribie is an audio transcription AI agent offering human-verified and AI audio transcription for interviews, meetings and research. Scribie helps researchers and journalists automate audio transcription work and get results faster. Key capabilities of Scribie AI and human transcription Timestamps Speaker tracking File uploads Speaker labels Many languages How Scribie works Scribie 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 YouTube, Zoom, Premiere Pro and Final Cut Pro, so the agent works inside existing workflows. Who uses Scribie? Scribie is built for researchers and journalists. It suits teams that want AI and human transcription and timestamps without adding headcount, while keeping people in control of review and final decisions. Scribie vs Rev Scribie is often compared with Rev. Scribie stands out for AI and human transcription and speaker tracking. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is SoundHound? SoundHound is a conversational voice AI AI agent offering conversational voice AI platform powering restaurant ordering, in-car assistants and customer service agents. Founded in 2005 and based in Santa Clara, California, USA, SoundHound helps restaurants, automakers and enterprises automate conversational voice AI work and get results faster. Key capabilities of SoundHound Restaurant phone and drive-thru ordering In-vehicle voice assistants Customer service voice agents Amelia agentic AI 24/7 call handling POS integration How SoundHound works SoundHound takes audio as input and produces audio and actions. It is powered by SoundHound (in-house models) models, with the vendor managing prompts, models and updates. It connects to tools such as Toast, Square, Olo and Clover, so the agent works inside existing workflows. Who uses SoundHound? SoundHound is built for restaurants, automakers and enterprises. It suits teams that want restaurant phone and drive-thru ordering and in-vehicle voice assistants without adding headcount, while keeping people in control of review and final decisions. SoundHound vs Presto SoundHound is often compared with Presto. SoundHound stands out for restaurant phone and drive-thru ordering and customer service voice agents. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Kea? Kea is a restaurant phone ordering AI agent offering an AI voice agent that answers restaurant phone calls and takes orders directly into the POS. Kea helps multi-location restaurants automate restaurant phone ordering work and get results faster. Key capabilities of Kea Phone order taking Upselling POS order injection Call overflow handling POS integration How Kea works Kea takes voice as input and produces orders and voice. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Toast, Square, Clover and Olo, so the agent works inside existing workflows. Who uses Kea? Kea is built for multi-location restaurants. It suits teams that want phone order taking and upselling without adding headcount, while keeping people in control of review and final decisions. Kea vs ConverseNow Kea is often compared with ConverseNow. Kea stands out for phone order taking and POS order injection. 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.
