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Head-to-head · AI voice

Hume AI vs ElevenLabs

Pick Hume AI for voice-agent evaluation; pick ElevenLabs for audio creation, deployment and published paid plans.

Hume AI

6.5/10
VS

ElevenLabs

7.2/10

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Short answer

Most buyers should pick ElevenLabs.

Choose Hume AI if your priority is judging emotion, tone and intent in speech, or measuring voice agents with human feedback. Choose ElevenLabs if you need a broader audio platform for speech, music, transcription or conversational agents—and want published paid plans starting at $6 monthly. Hume lists a free plan with tight usage limits, but paid pricing is not published on the vendor's site. For most buyers comparing a full platform switch, ElevenLabs is easier to size; Hume fits a more specialized evaluation need.

01Side by side

Hume AIElevenLabs
Starting priceFree; paid pricing not published$6/month Starter; $5/month annual
Free plan10,000 TTS characters; 5 EVI minutes monthly10,000 credits monthly; no commercial license
Best forEvaluating voice agents and vocal expressionCreating audio and deploying voice or chat agents
Core strengthStructured judgments from audio without transcriptsSpeech, music, transcription and conversational agents
Learning curveNot publishedNot published
Integrations & dataBring your own LLM key for EVIElevenAPI for TTS, STT and music
Team and seat costsPaid seats and limits not published3 seats at $299; 10 at $990 monthly
SupportReview support score: 5/10Review support score: 5/10

Choose Hume AI if

  • Choose Hume AI if you need emotion and intent judgments from audio.
  • Choose Hume AI if you evaluate voice-agent naturalness with human raters.
  • Choose Hume AI if you need voice-model evaluation workflows.

Choose ElevenLabs if

  • Choose ElevenLabs if you need speech, music and transcription tools.
  • Choose ElevenLabs if you want published paid plans starting at $6 monthly.
  • Choose ElevenLabs if you need voice or chat agents across channels.

02Pricing compared

ElevenLabs is easier to price before switching: its listed plans run from Free to $6/month for Starter, $22 for Creator, $99 for Pro, $299 for Scale and $990 for Business. Annual billing lowers the listed monthly equivalent; Enterprise pricing is custom. Free includes 10,000 credits monthly, but no commercial license. Starter adds 30,000 credits and commercial rights.

Hume’s listed Free plan includes 10,000 Octave TTS characters (about 10 minutes), five minutes of EVI, one concurrent connection and a non-commercial license, plus $20 in starter credit without a card. Paid prices are not published on the vendor's site, so we can’t compare its cost at scale. Hume may suit a focused evaluation project, but buyers should get a quote before budgeting a switch.

03Features and depth

Hume is the more specialized option for evaluating how speech sounds, not just what its transcript says. Its Audio Decisions API returns structured, probabilistic judgments about audio; Expression APIs assess vocal tone, timing and emotional expression. The Human Feedback API uses trained raters to score naturalness and empathy, while User Testing recruits participants across locales. VoiceEQ and the evaluation workflow are aimed at comparing voice models, scenarios and checkpoints.

ElevenLabs covers more of the audio production and deployment stack. Its tools include text-to-speech in 90+ languages, voice cloning and design, speech-to-text with speaker diarization, music generation, and voice or chat agents across phone, chat, email and WhatsApp. The homepage lists more than 17,500 voices. That breadth makes it a better fit for teams building or producing audio, but the published review cautions buyers to check credit costs. These are different jobs: Hume evaluates voice-agent quality; ElevenLabs makes and delivers audio.

04Ease of use and learning curve

Our review scores rate ease of use at 6.5 for Hume and 7 for ElevenLabs. Those scores are directional, not a guarantee that either product will be simpler for a given team.

Hume’s APIs and evaluation workflow are focused on defining quality criteria, testing scenarios and comparing models. That scope is useful if you already know what voice-agent behaviors you need to assess; its unpublished paid pricing also leaves a budgeting step before a larger rollout.

ElevenLabs has more product areas to choose from, but its published tiers give teams a clearer starting point. Credit allowances and overage rates still need checking against expected use. For a narrow evaluation job, Hume’s focus may be easier to map to the task; for a broader audio stack, ElevenLabs offers more listed capabilities and plan detail.

Questions people ask

Can ChatGPT do voice overs?

The published product information does not describe ChatGPT’s voice-over capabilities, so we can’t compare them here. It does list ElevenLabs text-to-speech and voice cloning, and Hume’s Octave TTS allowance on Free. Check the relevant product documentation for current ChatGPT features and usage terms.

Is voice cloning illegal?

The published product information does not cover voice-cloning law or consent requirements, so it cannot establish whether a particular use is legal. ElevenLabs lists voice cloning features, but that is not legal guidance. Check applicable rules and get qualified advice before cloning or publishing someone’s voice.

Who made Hume AI?

The published information describes Hume AI’s audio models and evaluation products, but does not name its founders, parent company or individual creators. We can’t identify who made it from these materials. For that detail, check Hume AI’s official company information.

Which is better, Voicemod or voice AI?

Our comparison contains no Voicemod features, plans or limits, so we can’t make a grounded head-to-head recommendation. It does show Hume focused on voice-agent evaluation and ElevenLabs offering audio creation and agents. Share your use case and current Voicemod plan to compare them fairly.