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69 Listings in AI Voice & Speech Available
What is Slang.ai? Slang.ai is a voice AI phone answering system designed specifically for restaurants. It answers inbound calls, responds to guest questions, manages reservations and handles service requests around the clock without staff intervention. Key capabilities of Slang.ai Call answering: handles unlimited concurrent calls Reservation booking: books directly into your reservation system Cross-location routing: suggests another location when one is full VIP routing: directs important callers to designated staff Smart alerts: notifies staff about complaints, private dining and lost items Natural conversation: conversational AI trained on thousands of call transcripts How Slang.ai works The agent answers a call, handles the guest's question or books a table directly in the connected reservation platform, and escalates sensitive issues to staff with an alert. Official integrations include OpenTable, SevenRooms, Tripleseat, Perfect Venue and Yelp. The vendor says setup takes under 30 minutes. Who uses Slang.ai? Customers named include Texas de Brazil, Carmine's, Merchants Hospitality Group, The Fireman Hospitality Group and Bluegrass Hospitality Group. The vendor reports up to a 50% increase in phone reservations, a 96%+ satisfaction rating and up to 200 staff hours saved monthly. Slang.ai pricing Slang.ai does not list prices on its homepage; quotes require contacting the company. A Try Slang AI call to action is shown, but trial terms are not detailed. Slang.ai alternatives Alternatives include ConverseNow for restaurant voice ordering, SoundHound for voice AI at restaurants, and PolyAI for enterprise voice assistants.
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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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What is Listen2It? Listen2It is an AI voice generation platform that converts text into realistic voiceovers. It offers 900+ AI voices in 145+ languages and accents, plus an editor for fine-tuning the audio. Key capabilities of Listen2It 900+ voices: Across 145+ languages and accents. Voice controls: Adjust speed, pitch, emphasis and volume. Background music: Add music tracks and time them. Custom pronunciation: Build libraries for specific words. Multi-voice audio: Combine languages, voices and speakers in one file. Text-to-speech API: Integrate voices into apps. How Listen2It works You paste text, pick a voice and language, adjust speed, pitch and emphasis, and generate audio. A pronunciation library fixes specific words, and the advanced editor trims, fades and adds delays or background music. Voice settings can be saved as character profiles, and audio can be hosted and streamed through an AWS-backed CDN or fetched by API. Who uses Listen2It? Marketers, agencies, bloggers, content creators, educators, customer support teams, social media creators and e-learning platforms producing voiceovers. Listen2It pricing The free tier includes 5,000 word credits and all 900+ voices, with no credit card required. Paid plans add commercial rights; exact paid prices were not shown on the vendor page reviewed. Listen2It alternatives Related tools include Voicemaker, Jellypod, Verbit, 3Play Media and AI-Media, covering text-to-speech, podcasts and transcription or captioning.
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What is Audo AI? Audo AI is a set of audio and video processing tools for content creators and AI assistants. It offers a web-based Audo Studio and a REST API, with the stated goal of filtering a recording without adding synthetic content. Key capabilities of Audo AI Noise removal and voice enhancement: Cleans recordings without a studio setup Audio transcription: Supports 60 languages Script alignment: Matches audio to a provided script Silence removal and cutting: Trims dead air and cuts audio Loudness normalization: Targets levels for different publishing platforms Mixing and speaker leveling: Balances speakers and joins files Video audio tools: Extracts or swaps the audio track in video files MCP server access: Lets AI assistants such as ChatGPT and Claude call the tools How Audo AI works A user uploads a file in Audo Studio or sends it to the REST API, picks a tool, and receives the processed file. Audo says its processing filters the recording and adds nothing. File limits are 100 MB without an account and 10 GB with one, and uploaded files are deleted after 24 hours. The MCP server exposes the same tools to AI assistants and editors such as VS Code. Who uses Audo AI? Podcasters, video creators and developers who need quick audio cleanup use it, as do teams wiring audio processing into an app or AI assistant through the API or MCP server. Audo AI pricing Audo uses a credit system where different tools cost 1 to 3 credits per minute of audio. A free trial covers the first minutes of any file with limited daily uses and no account required. Per-credit dollar prices are not stated on the page reviewed. Audo AI alternatives Alternatives include Adobe Podcast Enhance Speech for voice cleanup, Descript for transcript-based editing, and Auphonic for automatic leveling and loudness normalization.
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What is Speechify? Speechify is a text-to-speech app that reads documents, articles and PDFs aloud, with a Premium plan offering 1,000+ natural voices in 60+ languages. It also adds AI summaries and chat, voice typing and AI podcasts. Key capabilities of Speechify Natural voices: 1,000+ on Premium Language support: 60+ languages Listening speed: up to 5x on Premium Scan and Listen: reads printed pages AI summaries and chat: questions about documents Voice typing: dictation How Speechify works You import a document, web page or scanned page and Speechify reads it aloud at the speed you choose. Premium unlocks natural voices and faster playback, plus summaries, dictation and cloud storage links. Studio and the API are priced separately for voiceover and developer use. Who uses Speechify? Students, professionals and people who prefer listening use it. Creators use Studio for voiceover and dubbing, and developers use the API. Speechify pricing Free offers playback up to 1.5x, 10 robotic voices and text-to-speech only. Premium is $29 a month, and annual billing saves about 60% versus monthly. Studio and API have separate pricing. Speechify alternatives Alternatives include Narakeet for video narration, Speechmatics for speech recognition, Typecast for character voices, Listnr for voiceover generation, and Hume AI for expressive voice AI.
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What is Pindrop? Pindrop is a voice fraud and deepfake AI agent offering a voice security company that uses AI to authenticate callers and detect fraud and voice deepfakes in contact centers. Founded in 2011 and based in Atlanta, USA, Pindrop helps banks, insurers and contact centers automate voice fraud and deepfake work and get results faster. Key capabilities of Pindrop Caller authentication Fraud detection Voice deepfake detection Meeting deepfake protection Multi-modal detection Real-time scoring How Pindrop works Pindrop takes voice as input and produces scores and alerts. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as REST APIs, Contact center platforms, Zoom and Microsoft Teams, so the agent works inside existing workflows. Who uses Pindrop? Pindrop is built for banks, insurers and contact centers. It suits teams that want caller authentication and fraud detection without adding headcount, while keeping people in control of review and final decisions. Pindrop vs Nuance Gatekeeper Pindrop is often compared with Nuance Gatekeeper. Pindrop stands out for caller authentication and voice 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 Respeecher? Respeecher is a voice cloning for media AI agent offering high-fidelity speech-to-speech voice cloning for film, TV, games and advertising. Founded in 2018 and based in Kyiv, Ukraine, Respeecher helps studios and content producers automate voice cloning for media work and get results faster. Key capabilities of Respeecher Speech-to-speech cloning Voice marketplace Studio-grade quality Ethical consent process Voice cloning Multilingual voices How Respeecher works Respeecher takes audio as input and produces audio. It is powered by Respeecher (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 Respeecher? Respeecher is built for studios and content producers. It suits teams that want speech-to-speech cloning and voice marketplace without adding headcount, while keeping people in control of review and final decisions. Respeecher vs Resemble AI Respeecher is often compared with Resemble AI. Respeecher stands out for speech-to-speech cloning and studio-grade quality. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is SmartAction? SmartAction is a contact center voice AI AI agent offering AI voice and chat virtual agents that handle contact center calls end to end. Founded in 2004 and based in El Segundo, California, USA, SmartAction helps contact centers in retail, healthcare and utilities automate contact center voice AI work and get results faster. Key capabilities of SmartAction Voice virtual agents Chat automation CX design services Analytics Human handoff Analytics dashboard How SmartAction works SmartAction 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 Salesforce Service Cloud, Zendesk, Genesys and ServiceNow, so the agent works inside existing workflows. Who uses SmartAction? SmartAction is built for contact centers in retail, healthcare and utilities. It suits teams that want voice virtual agents and chat automation without adding headcount, while keeping people in control of review and final decisions. SmartAction vs Replicant SmartAction is often compared with Replicant. SmartAction stands out for voice virtual agents and CX design services. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Superwhisper? Superwhisper is an AI voice-to-text app that turns speech into polished text in any app. It runs on macOS, Windows, iOS and Android, is activated with a keyboard shortcut, and supports offline transcription. Key capabilities of Superwhisper Dictation anywhere: works in Slack, Gmail, Cursor, Notion and other apps Offline transcription: local models, best on Apple Silicon Macs Tone modes: formal, casual, legal and chat Custom vocabulary: trains on your terms Meeting assistant: records meetings and writes notes File transcription: transcribes audio and video files 100+ languages: plus translation on Pro How Superwhisper works You press a shortcut (Option plus Space on Mac), speak, and the text is inserted where your cursor is. Local Whisper models run offline, and Pro adds cloud models and bring-your-own AI API keys. Mode presets rewrite text into a chosen tone. Who uses Superwhisper? Superwhisper serves writers, developers and professionals who dictate into email, chat and coding tools. Enterprise buyers get SOC 2 Type II, centralized billing and model access control. Superwhisper pricing Free covers basic voice-to-text with unlimited Whisper model use. Pro is $8.49 per month or $84.90 per year. Enterprise is custom pricing. Superwhisper alternatives Alternatives include Wispr Flow, Aqua Voice and Willow Voice for AI dictation, and Typeless for polished voice typing.
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What is Ringg AI? Ringg AI is a voice calling AI agent offering a voice AI platform that runs human-like outbound and inbound calls for lead qualification and support. Based in India, Ringg AI helps sales and support teams automate voice calling work and get results faster. Key capabilities of Ringg AI Lead qualification calls Appointment reminders Feedback collection Multilingual voices Multilingual voice calls CRM call logging How Ringg AI works Ringg AI 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, Exotel, Salesforce and HubSpot, so the agent works inside existing workflows. Who uses Ringg AI? Ringg AI is built for sales and support teams. It suits teams that want lead qualification calls and appointment reminders without adding headcount, while keeping people in control of review and final decisions. Ringg AI vs Bolna Ringg AI is often compared with Bolna. Ringg AI stands out for lead qualification calls and feedback collection. 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.
