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69 Listings in AI Voice & Speech Available
What is Modulate? Modulate is an audio-native AI company whose platform analyzes voice conversations in real time for fraud, safety and compliance. ToxMod, its voice chat moderation product, serves games and social communities. Key capabilities of Modulate 150+ behaviors: Detected across six categories including fraud and trust and safety. Velma APIs: Five model families for detection, transcription and redaction. ToxMod: Content moderation for social and gaming communities. Ensemble Listening Model: Analyzes emotion, accent, music and deepfakes, not only words. AI agent guardrails: 25+ behaviors for monitoring AI voice agents. Contact center signals: Customer retention and agent welfare detection. How Modulate works Velma's Ensemble Listening Model analyzes dozens of audio signals in every utterance beyond the transcript, including emotion, accent, music and deepfake cues. Detections are grouped into six categories: fraud (35+ behaviors), AI agent guardrails (25+), trust and safety (20+), customer retention (30+), agent welfare (25+), and compliance and risk (20+). Customer data is never used for model training, per the vendor. Who uses Modulate? Game studios and social platforms using ToxMod, with Activision named as a customer, plus contact centers and enterprises that need voice fraud and compliance monitoring. Modulate pricing API pricing is pay-as-you-go plus enterprise plans, with speech-to-text from $0.03 per hour. ToxMod has separate platform pricing. Modulate alternatives Related tools include Smallest.ai, Replicant, Verbit, Smith.ai and Gnani.ai, covering voice agents, transcription and call automation.
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What is Voicemaker? Voicemaker is a text-to-speech AI agent offering an online text-to-speech tool with neural voices for voiceovers and videos. Founded in 2019 and based in India, Voicemaker helps creators and educators automate text-to-speech work and get results faster. Key capabilities of Voicemaker Neural voices Pronunciation and effects Many languages MP3 export Many voices and languages Commercial use rights How Voicemaker works Voicemaker takes text as input and produces audio. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as YouTube, WordPress, Canva and Zapier, so the agent works inside existing workflows. Who uses Voicemaker? Voicemaker is built for creators and educators. It suits teams that want neural voices and pronunciation and effects without adding headcount, while keeping people in control of review and final decisions. Voicemaker vs Murf Voicemaker is often compared with Murf. Voicemaker stands out for neural voices and many languages. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Zaion? Zaion is a contact center voice AI agent offering a conversational AI platform for contact centers with voicebots, agent assist and emotion analytics. Based in Paris, France, Zaion helps customer service contact centers automate contact center voice work and get results faster. Key capabilities of Zaion Voicebots Agent assist Emotion detection Call analytics Emotion analytics How Zaion works Zaion takes voice as input and produces voice and analytics. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Genesys, Avaya, Salesforce and Twilio, so the agent works inside existing workflows. Who uses Zaion? Zaion is built for customer service contact centers. It suits teams that want voicebots and agent assist without adding headcount, while keeping people in control of review and final decisions. Zaion vs PolyAI Zaion is often compared with PolyAI. Zaion stands out for voicebots and emotion detection. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Speechmatics? Speechmatics is a speech recognition AI agent offering speech recognition and voice AI APIs with high accuracy across languages and accents. Founded in 2006 and based in Cambridge, United Kingdom, Speechmatics helps developers and media companies automate speech recognition work and get results faster. Key capabilities of Speechmatics Real-time transcription 50+ languages Speaker diarization Voice agent APIs Multilingual voices Real-time processing How Speechmatics works Speechmatics takes audio as input and produces text. It is powered by Speechmatics models, 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 Speechmatics? Speechmatics is built for developers and media companies. It suits teams that want real-time transcription and 50+ languages without adding headcount, while keeping people in control of review and final decisions. Speechmatics vs Deepgram Speechmatics is often compared with Deepgram. Speechmatics stands out for real-time transcription and speaker diarization. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Cerence? Cerence is an in-car conversational AI agent offering an automotive AI company whose conversational platform powers in-car voice assistants for major automakers. Founded in 2019 and based in Burlington, USA, Cerence helps automakers and mobility companies automate in-car conversational work and get results faster. Key capabilities of Cerence In-car voice assistant Generative AI copilot Multilingual speech Embedded and cloud AI Hybrid embedded and cloud voice Multilingual in-car assistant How Cerence works Cerence takes voice as input and produces voice 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 Automotive OEM platforms, Android Automotive, Infotainment systems and Cloud APIs, so the agent works inside existing workflows. Who uses Cerence? Cerence is built for automakers and mobility companies. It suits teams that want in-car voice assistant and generative AI copilot without adding headcount, while keeping people in control of review and final decisions. Cerence vs SoundHound Cerence is often compared with SoundHound. Cerence stands out for in-car voice assistant and multilingual speech. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is TurboScribe? TurboScribe is an AI transcription service that converts audio and video files to text in more than 98 languages. It offers a free plan with daily limits and an Unlimited plan for heavy use. Output includes speaker recognition and labels and multiple export formats. Key capabilities of TurboScribe AI transcription: fast Whisper-based transcription of audio and video 98+ languages: transcription across many languages, plus 134+ translation languages Speaker recognition: speaker labels in transcripts Bulk uploads: up to 50 files at a time on the Unlimited plan Large files: files up to 10 hours or 5 GB on Unlimited Exports: multiple output formats for transcripts How TurboScribe works You upload audio or video files, or add links, choose the language and TurboScribe returns a transcript with speaker labels that you can edit and export. The free plan allows 3 files per day of up to 30 minutes each. Who uses TurboScribe? Students, journalists, podcasters and researchers use TurboScribe to turn recordings into text. TurboScribe pricing Pricing below comes from third-party sources because turboscribe.ai blocked automated access. The Unlimited plan is listed at $10 per month billed annually or $20 per month billed monthly, and the free plan has daily limits. TurboScribe alternatives TurboScribe is compared with Transkriptor and Amberscript. Transkriptor is another AI transcription tool, and Amberscript combines machine and human-made transcripts.
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What is Listnr? Listnr is an AI voice generator for voiceovers, audio articles and podcasts, offering more than 1,000 voices in over 142 languages. Plans are metered in monthly credits and paid tiers include commercial rights. Key capabilities of Listnr Voice library: 1,000+ voices Language coverage: 142+ languages Voiceovers: from text scripts Audio articles: narrated written content Podcast generation: audio episodes Unlimited downloads: on paid plans How Listnr works You paste or write a script, pick a voice and language, and generate audio that spends credits, roughly 2 hours of voice per 20,000 credits. Paid plans add storage and commercial usage rights, and extra credits can be bought if the monthly quota runs out. Who uses Listnr? Creators, marketers and agencies producing narration, podcasts and videos use it. Agency suits high volume, and custom enterprise pricing exists for larger needs. Listnr pricing Free is $0 with 1,000 credits and no card. Individual is $19 a month ($190 a year) with 20,000 credits, Solo is $39 ($390) with 50,000, and Agency is $99 ($990) with 250,000. Yearly plans include two free months. Listnr alternatives Alternatives include ElevenLabs for voice cloning, WellSaid Labs for studio voices, LOVO for video voiceovers, Speechify for text-to-speech reading, and Resemble AI for custom voices.
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What is Bookline? Bookline provides AI communication for restaurants, hotels and mobility services. Its voice AI agents answer calls 24/7, manage bookings and answer FAQs, and a WhatsApp agent handles reservations and inquiries. Key capabilities of Bookline Voice AI agents: Answer calls around the clock. Booking management: Reservations handled by the agent. FAQ answers: Responds to common questions. WhatsApp AI: Reservations and inquiries on messaging. Campaigns: Segmented messages to boost direct bookings. 25+ integrations: Connects to hospitality software. How Bookline works Callers or WhatsApp users talk to the agent, which books and answers questions in multiple languages and syncs with integrated systems. Venues can test the voice agent by calling a demo number. Who uses Bookline? Restaurants, hotels, campings, hostels and taxi services. Bookline reports 2,000+ active agents, 1,200+ businesses and over EUR 450M in managed reservation volume. Bookline pricing Bookline does not publish pricing, and a free demo is offered. Bookline alternatives Cartesia and Cerence provide voice technology, Speechify and LOVO provide text-to-speech. Bookline is a finished hospitality booking agent.
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What is Replicant? Replicant is a contact center voice AI AI agent offering conversational AI agents that resolve customer calls, chats and texts end to end. Founded in 2017 and based in San Francisco, California, USA, Replicant helps enterprise contact centers automate contact center voice AI work and get results faster. Key capabilities of Replicant Voice call automation Chat and SMS agents Agent assist Conversation analytics Multilingual voices Real-time processing How Replicant works Replicant takes audio and text as input and produces audio 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, Zoom, Salesforce and Zapier, so the agent works inside existing workflows. Who uses Replicant? Replicant is built for enterprise contact centers. It suits teams that want voice call automation and chat and SMS agents without adding headcount, while keeping people in control of review and final decisions. Replicant vs PolyAI Replicant is often compared with PolyAI. Replicant stands out for voice call automation and agent assist. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Amberscript? Amberscript is a transcription and subtitles AI agent offering AI and human-verified transcription and subtitles with GDPR-compliant European hosting. Founded in 2017 and based in Amsterdam, Netherlands, Amberscript helps universities, media and enterprises automate transcription and subtitles work and get results faster. Key capabilities of Amberscript AI transcription Human-verified subtitles Many languages GDPR hosting Speaker labels How Amberscript works Amberscript 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 Amberscript? Amberscript is built for universities, media and enterprises. It suits teams that want AI transcription and human-verified subtitles without adding headcount, while keeping people in control of review and final decisions. Amberscript vs Happy Scribe Amberscript is often compared with Happy Scribe. Amberscript stands out for AI transcription and many languages. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Spitch? Spitch is a Lagos-based voice AI company launched in 2023 by Temiloluwa Babalola. It provides APIs and SDKs for text-to-speech, speech-to-text, translation and diacritics for African languages. Key capabilities of Spitch Text-to-speech: Yoruba, Hausa, Igbo, Amharic and English. Speech-to-text: Transcription for African accents. Translation: Across supported languages. Diacritics: Restores tone marks. SDKs: Plug voice into call centers, media and learning tools. Gateway access: Available through Cencori AI Gateway. How Spitch works Developers call the API or SDK with text or audio and get speech or transcripts back. No machine learning expertise is required, and developers buy pay-as-you-go credits. Who uses Spitch? Developers building call centers, media tools and learning platforms in local languages. Spitch pricing Third-party coverage reports TTS at $0.030 per 1,000 characters and speech-to-text at $0.010 per minute, with pay-as-you-go credits and bespoke enterprise rates. These are not from the vendor homepage, which did not load. Spitch alternatives Smallest.ai provides fast speech models, Narakeet generates voiceovers, and Smith.ai offers AI and human receptionists. Spitch specializes in African languages.
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What is Millis AI? Millis AI is a platform for building and deploying AI voice agents with very low latency for conversational applications. Key capabilities of Millis AI Low latency: About 600ms response latency, with 500ms mentioned elsewhere on the site. No-code and prompt building: Create agents through interfaces or natural-language prompts. Telephony: Connect numbers for inbound and outbound calls in 100+ countries. Integrations: Webhooks to APIs, CRMs, calendars and SaaS. Multi-surface deployment: Phone, web, mobile, desktop and widgets. How Millis AI works You build an agent with a prompt or the visual builder, pick an LLM and a voice provider, attach a phone number and connect external systems through webhooks. Supported LLMs include OpenAI, Mistral, Llama and custom models, and voices include ElevenLabs, PlayHT and Cartesia. SDKs are available for JavaScript and Python. Who uses Millis AI? Developers and businesses building voice agents from personal projects to enterprise scale. Millis AI pricing Usage-based. The platform fee is $0.02 per minute plus speech-to-text at $0.0043 per minute, then LLM and text-to-speech costs by provider. A 10-minute call with GPT-4o and ElevenLabs is quoted at about $0.66. No free credits are listed. Millis AI alternatives Pipecat is an open-source voice framework, Ultravox is a speech-native model, and Thoughtly, Replicant and Gnani.ai sell voice agents for contact centers.
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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.
