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69 Listings in AI Voice & Speech Available
What is Aqua Voice? Aqua Voice is a voice writing AI agent offering a voice-driven writing app that understands edits and commands as you speak. Founded in 2023 and based in San Francisco, California, USA, Aqua Voice helps writers and knowledge workers automate voice writing work and get results faster. Key capabilities of Aqua Voice Natural voice editing Context-aware transcription Works in any app Custom instructions Custom vocabulary How Aqua Voice works Aqua Voice 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 Aqua Voice? Aqua Voice is built for writers and knowledge workers. It suits teams that want natural voice editing and context-aware transcription without adding headcount, while keeping people in control of review and final decisions. Aqua Voice vs Wispr Flow Aqua Voice is often compared with Wispr Flow. Aqua Voice stands out for natural voice editing and works in any app. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is LOVO? LOVO is a voiceover and video AI agent offering Genny, an AI voice generator and video editor with 500+ voices in 100+ languages. Founded in 2019 and based in Berkeley, California, USA, LOVO helps marketers, educators and creators automate voiceover and video work and get results faster. Key capabilities of LOVO 500+ AI voices Voice cloning Video editor AI writer Multilingual voices How LOVO works LOVO takes text 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 YouTube, Adobe Premiere Pro, Canva and Zapier, so the agent works inside existing workflows. Who uses LOVO? LOVO is built for marketers, educators and creators. It suits teams that want 500+ AI voices and voice cloning without adding headcount, while keeping people in control of review and final decisions. LOVO vs Murf LOVO is often compared with Murf. LOVO stands out for 500+ AI voices and video editor. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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Explore how leading AI Voice & Speech solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the AI Voice & Speech ecosystem.
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ElevenLabs
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What is Cartesia? Cartesia is a voice AI platform that provides text-to-speech, speech-to-text and voice agents. Its main products are Sonic for speech synthesis, Ink for transcription and Managed Agents for phone-capable voice agents. Key capabilities of Cartesia Sonic text-to-speech: Low-latency speech synthesis, billed at 750 to 800 credits per audio minute. Ink speech-to-text: Transcription model priced at $0.39 per hour on the Scale plan. Managed voice agents: Hosted agents with phone capabilities at $0.06 per call minute. Instant voice cloning: Available from the Pro plan with commercial use. Professional voice cloning: Two pro cloning slots on the Startup plan. Unlimited seats: Every plan includes unlimited workspace seats. Enterprise controls: DPAs, SSO and security support on custom plans. How Cartesia works Developers send text to Sonic through the API to receive streamed speech, send audio to Ink for transcripts, or assemble both with an LLM into a Managed Agent that answers phone calls. Usage draws down monthly credits, and higher plans raise concurrency limits and unlock voice cloning options. Who uses Cartesia? Cartesia is used by developers and product teams building voice assistants, call-handling agents and apps that need fast, natural speech output. Startups can begin on the free tier, while larger deployments use the Scale or Enterprise plans. Cartesia pricing Cartesia has a Free plan with 20K credits per month, Pro at $5 per month with 100K credits, Startup at $49 with 1.25M credits, and Scale at $299 with 8M credits. Enterprise is custom. TTS uses roughly 750 to 800 credits per minute, and voice agents cost $0.06 per minute. Cartesia alternatives Alternatives include ElevenLabs, which offers a broader voice library and dubbing tools, Deepgram, which is strong in speech-to-text and voice agent APIs, and PlayHT, which focuses on voice cloning and text-to-speech.
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What is Netic? Netic is a home services revenue AI agent offering AI agents for home services companies that answer demand, book jobs and run outbound campaigns. Founded in 2024 and based in San Francisco, California, USA, Netic helps residential home services companies automate home services revenue work and get results faster. Key capabilities of Netic Inbound call and chat agents Job booking Outbound campaigns Revenue insights 24/7 call handling Booking and dispatch sync How Netic works Netic takes audio and text as input and produces audio and bookings. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as ServiceTitan, Housecall Pro, Jobber and Google Calendar, so the agent works inside existing workflows. Who uses Netic? Netic is built for residential home services companies. It suits teams that want inbound call and chat agents and job booking without adding headcount, while keeping people in control of review and final decisions. Netic vs Avoca Netic is often compared with Avoca. Netic stands out for inbound call and chat agents and outbound campaigns. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Pipecat? Pipecat is an open-source ecosystem for building voice and multimodal AI agents, maintained by Daily. Developers compose pipelines that stream audio, video, text and images between transports and AI services. Key capabilities of Pipecat Use any model: 200+ integrated speech, language and vision services. Real-time streaming: Frame-based pipeline architecture. Interruption handling: Turn detection built in. Multi-agent workflows: Pipecat Flows. Transports: WebRTC, SIP and PSTN. CLI scaffolding: pipecat init creates projects. How Pipecat works You compose a pipeline, connect a transport, add tools, then test and deploy. The framework runs self-hosted on Python infrastructure, on Pipecat Cloud as a managed platform, or in your VPC with Pipecat Enterprise. Who uses Pipecat? Voice AI developers. Enterprise users listed include NVIDIA, Anthropic, Cresta, AWS, ServiceNow and Mercor. Pipecat pricing The framework is open source and free to self-host. Pipecat Cloud and Pipecat Enterprise require contacting sales. Pipecat alternatives Thoughtly and Millis AI are hosted voice agent platforms, and Smallest.ai provides speech models. Pipecat is a code-first framework you host yourself.
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What is Avoca? Avoca is an AI workforce for service businesses, with agents that handle customer calls, texts, chats and scheduling for trades such as HVAC, plumbing and electrical. Key capabilities of Avoca Inbound AI CSR: Answers calls and texts 24/7 and books jobs automatically. Outbound campaigns: SMS and call campaigns that re-engage past customers. Coach: Real-time call scoring and performance analytics. Speed-to-lead: Responds to new leads in under 15 seconds. Web chat and scheduler: Engages site visitors and offers self-service booking. Google LSA: Direct integration for Local Services Ads leads. How Avoca works AI agents answer inbound calls and texts, qualify the lead, book the appointment and sync the job to the business CRM. Humans can take over when needed, and managers see call quality scores and real-time visibility. Outbound agents run SMS and call campaigns to bring back dormant customers. Who uses Avoca? Home and field service companies in HVAC, plumbing, electrical, pest control, roofing, garage doors, auto repair, remodeling, junk removal, moving and restoration. The vendor reports 1,000+ customers including Granite Comfort, Authority Brands and Aire Serv, and a $125M Series B at a $1B valuation. Avoca pricing Avoca does not publish pricing. It is sold on a quote basis, and no free tier is listed on the homepage. Avoca alternatives Sonant and Netic are also AI answering agents aimed at service businesses, while ElevenLabs offers voice synthesis as a component. Avoca is built around ServiceTitan-style field service workflows.
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What is ElevenReader? ElevenReader is a text-to-speech reading app that converts uploaded documents into natural-sounding audio. It also includes a catalog of audiobooks, and runs on the web, iOS and Android. Key capabilities of ElevenReader File imports: Accepts PDF, DOCX, EPUB, Markdown and TXT files Voice library: 1,000+ voices across 90+ languages Audiobook catalog: 200,000+ titles included with the paid plan Custom narrators: Create a voice from a text description Offline listening: Download content to listen without internet Playback controls: Speed up to 4.0x, sleep timer and bookmarks Cross-device sync: Library and position sync between web and mobile How ElevenReader works You upload a file or pick a title, choose a voice, and the app renders the text as speech using ElevenLabs' v4 voice technology, designed to give natural emphasis and pacing. Progress, bookmarks and downloads sync across the web, iOS and Android apps, so you can switch devices mid-chapter. Who uses ElevenReader? ElevenReader is used by people who want to listen to documents, ebooks and long articles instead of reading them, including commuters, students and readers who prefer audio. The Ultra plan targets heavy listeners who want unlimited imports and the full audiobook catalog. ElevenReader pricing The Free plan costs $0 per month and includes 10 hours of text-to-audio conversion per month, basic voices and a selection of free audiobooks. Ultra is $8.25 per month billed annually at $99 per year (regularly $11 per month) and adds unlimited imports, 200,000+ titles, offline downloads and priority support. ElevenReader alternatives Alternatives include Speechify, a widely used text-to-speech reader, LOVO, which focuses on voiceover for creators, and WellSaid Labs, which targets business narration. ElevenReader is built by ElevenLabs and pairs its voices with an audiobook library.
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What is Smith.ai? Smith.ai is a virtual receptionist service that staffs calls with expert agents around the clock, handling lead screening, qualification and intake. Plans are priced by the number of calls included each month. Key capabilities of Smith.ai Live-staffed 24/7: expert agents answer around the clock Lead screening and qualification: filters and qualifies callers Intake: captures caller details Dedicated phone number: included at no extra cost Appointment booking: add-on at $1.50 per call Add-ons: call recording, SMS notifications, Spanish-language service and payment processing How Smith.ai works Calls to your dedicated number are answered by Smith.ai agents who screen, qualify and take intake details, then route or notify you by transfer or SMS. Optional features are billed per call, and spam calls do not count toward the plan quota. Who uses Smith.ai? Small and mid-sized businesses and professional practices that need reliable call coverage without staffing a front desk. Smith.ai pricing Starter is $300 per month for 30 calls, Basic $810 for 90 calls, Pro $2,100 for 300 calls, and Enterprise is custom. Extras include booking at $1.50 per call. Annual prepay gives 10 percent off. Smith.ai alternatives Replicant targets contact center automation, while Speechmatics, Resemble AI and WellSaid Labs are speech technology tools. Smith.ai is distinct as a staffed receptionist service.
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What is Resemble AI? Resemble AI is a voice cloning and deepfake detection AI agent offering enterprise voice cloning, speech-to-speech and deepfake detection. Founded in 2019 and based in San Francisco, California, USA, Resemble AI helps media, gaming and security teams automate voice cloning and deepfake detection work and get results faster. Key capabilities of Resemble AI Custom voice cloning Speech-to-speech Deepfake detection Audio watermarking Voice cloning Multilingual voices How Resemble AI works Resemble AI takes text and audio as input and produces audio and insights. It is powered by Resemble (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 Resemble AI? Resemble AI is built for media, gaming and security teams. It suits teams that want custom voice cloning and speech-to-speech without adding headcount, while keeping people in control of review and final decisions. Resemble AI vs ElevenLabs Resemble AI is often compared with ElevenLabs. Resemble AI stands out for custom voice cloning and deepfake detection. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Transkriptor? Transkriptor is an AI transcription service that converts audio, video and meetings into text in more than 100 languages. It identifies multiple speakers and adds AI summaries and chat on higher plans. Key capabilities of Transkriptor Transcription: 100+ languages with multiple speaker identification AI summary and chat: on Pro and Team plans Knowledge base: searchable transcripts on Pro Call analysis: sentiment detection on Team Custom vocabulary: and analytics on Team Multi-format downloads: export transcripts in several formats How Transkriptor works You upload a file or connect Google Drive, Zoom or Teams, and Transkriptor returns a transcript with speaker labels that you can edit and download. Pro and above add AI summaries and chat over the transcript. Usage is metered in transcription minutes per month. Who uses Transkriptor? Students, journalists, researchers and teams that need transcripts of interviews, lectures and meetings. The vendor says data is not used for training from the Pro tier up. Transkriptor pricing Free includes 90 minutes per month. Lite is $9.99 per month for 300 minutes, Pro is $19.99 for 2,400 minutes, and Team is $30 per seat for 3,000 minutes per seat. Annual Pro is $8.33 per month and annual Team $20 per seat. Transkriptor alternatives TurboScribe and Scribie are transcription services, Amberscript offers machine and human transcription, and AI-Media specializes in captioning for broadcast and events.
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What is Simon Says? Simon Says is a post-production transcription AI agent offering AI transcription and translation built for video editors inside Premiere, Final Cut and Resolve. Founded in 2016 and based in San Francisco, California, USA, Simon Says helps video editors and post houses automate post-production transcription work and get results faster. Key capabilities of Simon Says Editor plugins Transcription in 100+ languages Subtitles Assembly edits Speaker labels Many languages How Simon Says works Simon Says takes audio and video 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 Simon Says? Simon Says is built for video editors and post houses. It suits teams that want editor plugins and transcription in 100+ languages without adding headcount, while keeping people in control of review and final decisions. Simon Says vs Descript Simon Says is often compared with Descript. Simon Says stands out for editor plugins and subtitles. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Saarthi.ai? Saarthi.ai is a vernacular voice AI agent offering a vernacular conversational AI platform that runs multilingual voice and chat bots for collections and customer engagement. Based in India, Saarthi.ai helps lenders, insurers and consumer brands in India automate vernacular voice work and get results faster. Key capabilities of Saarthi.ai Collections calls Multilingual voice bots Lead qualification Customer surveys Multilingual voice calls CRM call logging How Saarthi.ai works Saarthi.ai takes voice and text 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, Exotel, Salesforce and HubSpot, so the agent works inside existing workflows. Who uses Saarthi.ai? Saarthi.ai is built for lenders, insurers and consumer brands in India. It suits teams that want collections calls and multilingual voice bots without adding headcount, while keeping people in control of review and final decisions. Saarthi.ai vs Skit.ai Saarthi.ai is often compared with Skit.ai. Saarthi.ai stands out for collections calls and lead qualification. 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.
