ElevenLabs Alternatives

Murf is an AI voice generator and text-to-speech studio for voiceovers, dubbing, and real-time voice agent audio. It serves creators, learning teams, localization teams, and developers who need lifelike speech without booking a recording session.

Key Highlights

• 200+ voices across 35+ languages for narration, training, ads, podcasts, and accessibility content
• Murf Falcon 2 TTS API for voice agents, listed at $0.01/min. Murf reports sub-100 ms time-to-first-audio in its benchmark; actual latency depends on the deployment.
• Studio controls for pitch, speed, intonation, custom pronunciation, and voice style
• AI dubbing in 40+ languages, with editing tools and expert linguistic review
• Integrations with Canva, PowerPoint, and Captivate
• Security claims include SOC 2, ISO 27001, GDPR, HIPAA, and 11-region data residency

What Makes It Different

Murf is not only a voiceover editor. The homepage separates Falcon for real-time conversations from Gen2 for controllable content production. Falcon is aimed at customer support, sales, booking, recruiting, and helpdesk agents, while Gen2 focuses on tone, pacing, emphasis, and pronunciation control for finished voiceovers. Murf also says its voices are created with permission from professional voice actors, who earn royalties when their voices are used.

Features & Capabilities

In Murf Studio, users can paste a script, choose a voice, adjust delivery, manage pronunciation, and export audio on paid plans. The product also supports voice cloning and a Say It My Way feature, where users record a rendition so the AI can reflect their tone and inflection.

For developers, Murf Falcon provides text-to-speech for live voice agents. For video teams, Murf's dubbing workflow translates content into multiple languages while preserving the original voice, meaning, and tone. The same product family covers e-learning, YouTube videos, product demos, corporate communication, audiobooks, and game audio.

User Ratings and Testimonials

Murf is rated 4.7/5 on G2 from 1,000+ reviews, according to the homepage. Customer quotes on the site praise faster voiceover production, API integration, transparent model training, and Spanish versions of English videos.

The page does not surface independent complaints. The practical caveats come from Murf's own FAQ: the free plan has limited 10-minute voice generation, no commercial license, and voices can only be downloaded on paid plans.

Pricing & Value

• Free: limited 10-minute voice generation, no commercial license, and downloads only on paid plans
• Paid Studio plans: unlock commercial projects, downloads, team workflows, and larger voice generation budgets; plan allowances depend on the subscription
• Enterprise: custom sales plan for broader access, security, and support
• Murf Falcon 2 API: $0.01/min for voice agent speech, with pay-as-you-go API pricing also exposed for developers

The free plan is enough to test voice quality, but commercial projects, downloads, team workflows, and larger voice generation budgets require a paid plan.

Resemble AI provides deepfake detection, watermarking, and voice APIs for developers and enterprise teams. Its current platform focuses on investigating audio, images, video, and other media. API documentation also covers speech generation, voice cloning, and voice asset management.

Key Highlights

• Detect synthetic or manipulated audio, images, and video
• Inspect explainable detection results
• Apply and detect multimedia watermarks
• Enroll identities and search for matches
• Use speech and voice-management APIs

What Makes It Different

The platform brings detection tools together with voice APIs. A team can inspect media authenticity and connect analysis to an existing workflow rather than treating detection as a separate manual check. Detection results still need context and an appropriate review process.

Features & Capabilities

Use the supported API or platform workflow to submit media for analysis. Detection and intelligence tools return scores, explanations, and content information. Identity workflows compare supplied references, while watermark tools support provenance checks.

Voice documentation includes text-to-speech, speech-to-speech, speech recognition, cloning, and recordings. Check the current endpoint, rate limits, and commercial offer before building a production workflow. Product access and processing charges are separate considerations.

User Ratings and Testimonials

Evaluate the service using representative media and a review procedure for false positives and missed detections. A benchmark result does not guarantee a correct verdict on every file. Inspect detection results against the context of the original recording or image.

Pricing & Value

Flex has no subscription fee and metered usage. Team costs $350/month or $280/month billed annually for five seats. Business costs $1,000/month or $800/month billed annually for 20 seats and SSO. Flex audio detection is $0.035/second and image detection $0.035/image; Team and Business list $0.015 for the respective units. Processing is charged separately.

Retell AI is an AI voice agent platform for inbound and outbound call operations. Teams use it to build, deploy, test, and monitor agents that connect to business systems through functions, telephony, and APIs.

Key Highlights

• LLM-based voice agents for natural, multi-turn calls
• Turn-taking and voice orchestration; Retell advertises about 600 ms latency
• Drag-and-drop flows with guardrails, simulation testing, and QA
• Function calling, streaming RAG, SIP trunking, branded caller ID, verified numbers, analytics, webhooks, and API access

What Makes It Different

Retell AI is a production voice stack, not a generic chatbot builder. Its site contrasts it with IVR and IVA systems: instead of touch-tone menus or fixed intent maps, its voice agents use LLMs for multi-turn conversations, edge cases, and outbound calls. The orchestration layer lets agents complete appointments, payments, transfers, or CRM updates during a call.

Features & Capabilities

Teams can start from templates or configure call flows inside Retell AI's agentic framework. Demo use cases include receptionist, appointment setter, lead qualification, customer service, debt collection, and survey agents. Before launch, teams can run simulations, then review calls through analytics, transcripts, dashboards, and QA.

Agents can use custom functions, pull answers from a knowledge base, and work across voice call, chat, SMS, and API channels. Listed integrations include HubSpot, Twilio, Salesforce, Zapier, Avaya, Genesys, Five9, Amazon Connect, Telnyx, Make, and Cal.com.

User Ratings and Testimonials

Retell AI does not publish a third-party average rating. It includes customer quotes from Pine Park Health, SWTCH, and Medical Data Systems, with reported results around scheduling NPS, EV support costs, inbound call handling, transfer rate, and monthly collections.

The main watchout is cost predictability. Per-minute cost changes by LLM, text-to-speech provider, telephony, add-ons, and concurrency, while custom SSO, custom MSA/DPA terms, and 24/7 dedicated portal support sit in the Enterprise Plan.

Pricing & Value

• Pay as you go: starts at $0 with $10 in free credits, then metered usage. Retell advertises headline voice rates of $0.07-$0.31/min, but selected models and add-ons can exceed this range. Phone numbers and extra concurrency can carry monthly charges. AI Chat Agents advertise $0.002+/message. It includes platform access, templates, analytics, transcripts, simulation testing, webhooks, API access, 20 free concurrent calls, and email support.
• Enterprise Plan: custom pricing for AI Voice Agents and AI Chat Agents, with volume pricing, custom MSA/DPA terms, role-based access control, a dedicated stable server available as a paid add-on, custom SSO, higher concurrency, and 24/7 support with a dedicated portal.

Retell AI is strongest for teams that want usage-based voice automation with production telephony, testing, analytics, and enterprise options.

Cartesia is a real-time voice AI platform built around Sonic, its streaming text-to-speech model. It is made for developers and teams building voice agents, live assistants, and interactive apps that need natural speech with very low latency. You reach the models through an API and SDKs, and can run them in the cloud, on-premise, or on-device.

Key Highlights

• Sonic-3.6 streaming text-to-speech with expressive voices in 40+ languages
• Ink-2 speech-to-text for transcription in voice pipelines
• Managed Agents voice agents that handle live phone and in-app conversations
• Instant voice cloning from a short audio sample
• Deploy in the cloud, in your own VPC or hardware, or on-device
• SDKs and developer tools for production integration

What Makes It Different

Cartesia's models are built on State Space Models (SSMs), an architecture its founding team helped pioneer at Stanford (including Mamba and H-Nets). SSMs are designed for live, synchronous interactions, so Sonic targets ultra-low time-to-first-audio rather than batch generation. Sonic targets low time-to-first-audio for live conversation. Actual latency depends on the workload and deployment.

The other differentiator is deployment flexibility. The same models and agents run across cloud, on-premise, and on-device, with inference kept in-region for teams with data residency, compliance, or latency needs a single cloud endpoint cannot meet.

Features & Capabilities

The core workflow is API-first: send text to Sonic and stream audio back, send audio to Ink-2 for a transcript, or combine both with the Managed Agents agent layer for full voice conversations. Agents can take phone calls on a Cartesia-provided number and connect to your own systems and logic at scale.

Beyond synthesis, it offers instant voice cloning from a short sample, professional voice cloning on higher tiers, a voice changer, and voice localization across languages. Every plan includes unlimited seats and voice slots, with concurrency and agent limits that scale by tier.

User Ratings and Testimonials

Test speech on the scripts and connection conditions your application will use. Time to first audio, pronunciation, and expressiveness can vary by workload; a benchmark does not guarantee the same latency for every call.

Pricing & Value

• Free: $0/month, 20K credits and $1 of prepaid agents, with text-to-speech and speech-to-text
• Pro: $5/month, 100K credits and $5 prepaid agents, adds a commercial-use license and instant voice cloning
• Startup: $49/month, 1.25M credits and $49 prepaid agents, adds professional voice cloning and organizations
• Scale: $299/month, 8M credits and $299 prepaid agents, adds priority support and high concurrency
• Enterprise: custom pricing with volume rates, custom concurrency, SSO, and compliance agreements

Voice agent calls are billed at $0.06 per minute, plus $0.014 per minute for telephony on a Cartesia number. These are monthly plan rates. Compare credits and call charges when budgeting.

SpeechifyAI is Speechify's developer service for text-to-speech and voice cloning. Developers can generate speech, stream audio, and integrate speech into an application. The developer API is billed separately from the Speechify Reader app used to read documents aloud.

Key Highlights

• Text-to-speech API with catalog voices
• Streaming audio for application workflows
• Voice cloning on eligible plans
• SSML controls for speech output
• Enterprise voice-agent deployments scoped separately

What Makes It Different

SpeechifyAI exposes speech generation through developer interfaces rather than only a consumer reading screen. An application can request speech and work with streamed output. Enterprise voice-agent deployments have a separate buying path, so text-to-speech allowances should not be read as included agent minutes.

Features & Capabilities

Developers supply text and choose a voice through the API. Streaming lets an application receive audio as it is generated. Voice cloning creates a voice for later speech requests, subject to the service's setup requirements and usage terms.

Character-based usage draws from the plan's included balance. Paid subscriptions can continue through a prepaid top-up balance after included usage is exhausted. The service provides developer documentation and SDKs for integrating authentication, requests, and returned audio.

User Ratings and Testimonials

Evaluate speech with your actual scripts, languages, and playback requirements. Listen for pronunciation, pacing, and unwanted artifacts, and measure streaming behavior in your own application. Consumer Reader reviews do not establish the performance or economics of the developer API.

Pricing & Value

• Free: $0/month, 500,000 characters/month; pauses when exhausted
• Starter: $10/month, included credit equivalent to 1.9M TTS characters; top-ups $10/million
• Pro: $99/month, equivalent to 13.5M characters; top-ups $8/million
• Scale: $499/month, equivalent to 78M characters; top-ups $6/million

Paid character equivalents describe an included credit balance, not a separate unlimited allowance. Enterprise voice-agent deployments are scoped separately.

Hume AI provides data and evaluation tools for teams building voice and conversational AI. Its platform combines expression measurement, simulated conversations, and feedback from human participants. The tools help teams assess how a voice system performs in the scenarios they intend to support.

Key Highlights

• Expression Measurement API for voice analysis
• Human Feedback API for participant ratings
• Kairos for conversation simulations
• Custom data collection and research support
• Voice AI benchmarks and leaderboards

What Makes It Different

Hume combines automated measurement with human judgment. A speech system can read words correctly while still sounding wrong for its intended role. Expression analysis, simulations, and participant feedback address different parts of that evaluation rather than reducing quality to one score.

Features & Capabilities

Teams can build test scenarios, simulate agent conversations, and track regressions as models change. The expression tools support real-time measurement and offline analysis of voice data.

Human evaluation returns per-sample scores, free-response feedback, and aggregated results. Custom data collection can be organized around a specific use case and evaluation requirement. Choose test material that represents the speakers and situations your application will encounter.

User Ratings and Testimonials

Hume publishes voice benchmarks based on human judgment, covering recognition, understanding, text-to-speech, and speech-to-speech. A leaderboard compares performance under its own test conditions. Use it alongside tests of your application rather than treating a ranking as a guarantee for every conversation.

Pricing & Value

Research and custom evaluation arrangements are discussed with Hume. The required data, simulations, participant feedback, and integrations affect the scope. Establish which services and usage allowances the agreement includes before estimating ongoing costs. Evaluation tools do not replace review of the results by the team responsible for the voice application.