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ElevenLabs

ranked #1 of 1 · voice generators

Text-to-speech and voice-cloning platform; generates natural speech and custom voices via web app and API.

79.5/100 Trust Scoreconfidence: highmeasured 2026-07-11scored with Trust Score v1
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Free (non-commercial); Starter $6/mo, Creator $22/mo, Pro $99/mo · affiliate links never affect the score

By Minel Gunesoglu, founder. I reconcile the review-platform numbers against the one public blind-listening leaderboard, and I read the terms of use myself so the licensing section is not guesswork. Last updated July 11, 2026. I re-check this page monthly; this is the first voice tool on the site to earn a HIGH-confidence score, so expect the 79.5 to move less than most.

ElevenLabs, the British text-to-speech and voice-cloning platform two researchers founded in 2022, carries one reputation almost everyone agrees on and one the measured evidence complicates. Take the reputation first: it sounds real. On Product Hunt a reviewer called the "voice quality of ElevenLabs is exceptionally professional and high-end" (Product Hunt, 2024), and that verdict recurs across G2 and Capterra as settled fact rather than a first impression. It is worth reading closely, though, because the praise almost always measures ElevenLabs against last-generation engines, Amazon Polly, Google Cloud TTS, older PlayHT, and not against the models winning blind listening tests today.

Adored in the reviews, twelfth on the only blind test

Put ElevenLabs on the one public blind-preference board I can verify and the ranking is more modest. On Artificial Analysis' Speech Arena, where listeners vote on same-text samples without knowing the vendor, ElevenLabs' best model, Eleven v3, sits twelfth of eighty-nine by Elo (1,174). Speechify's Simba 3.2 leads at 1,234, with Google's Gemini 3.1 Flash TTS and Cartesia's Sonic 3.5 also rated above it. Twelfth of eighty-nine is a strong result; it is not the outright best, which is precisely the claim the reviews keep making. That gap, adored in the review record and only twelfth on the leaderboard, is the first of two splits running through everything ElevenLabs.

The negative reviews are not about competitive lag at all. They report concrete failures, one Trustpilot reviewer summarizing a batch as "Most voices are distorted" (Trustpilot, 2026-06-26). Quality complaints and quality praise coexist in the same record, which is the honest starting point for a score.

G2 says 4.5, Trustpilot says 3.1, and both are right

The second split is louder. On G2, ElevenLabs holds 4.5 out of 5 across roughly 1,140 reviews, with essentially nothing at one or two stars. On Trustpilot it holds 3.1 out of 5 across 1,041 reviews, about 36% of them one-star. Same product, two nearly opposite verdicts, and averaging them into a single star rating would erase the reason they differ. The two platforms are not rating the same thing. G2's base skews developer and business buyers judging model quality and integration, the cohort most likely to renew; Trustpilot's skews consumers who arrived to complain about a charge or a cancellation. The score card below keeps them apart on purpose rather than blending them into one comfortable number.

Support divides the same way, and within days of itself. A five-star Trustpilot reviewer praised the "excellent tool, features and customer service" (Trustpilot, 2026-07-07); a one-star reviewer the same month found "no human agent to talk to, just an AI chatbot" (Trustpilot, 2026-06-19). Both are dated within weeks of each other, which reads as tiered or dispute-type support triage, not one company-wide standard.

The credit-forfeiture wave behind the 1-star reviews

The Trustpilot number has a specific cause, and it is not the voice. The one-star wave through June 2026 is overwhelmingly about a single billing policy: unused credits, including the rollover balance a subscriber already paid for, are wiped the moment a plan is canceled or downgraded. The complaint recurs across at least five separate reviews inside a ten-day window. "the second you cancel, every unused credit you've already paid for is wiped" (Trustpilot, 2026-06-27). "This company is a ripoff. They have now put 2 charges on my credit card." (Trustpilot, 2026-06-24). A third aimed at the paywall itself: "Slow and restrictive Pay-walled functions ( 90% ) for non-membership right upfront." (Trustpilot, 2026-06-28). This is the mechanism the cost section pulls apart, because the forfeiture rule and the per-attempt credit math are the two facts a buyer most needs before subscribing.

A cloning-misuse record three incidents deep

One more thread sits under the trust number, and it is not a review-platform gripe but a documented pattern. ElevenLabs was named as the likely engine behind the January 2024 fake-Biden robocall in New Hampshire, and it banned the account responsible. Two voice actors sued the company in 2024, alleging their voices, their "distinctive vocal timbres, accents, intonation, pacing, vocal mannerisms, and speaking styles" (Bloomberg Law, 2024-08-29), were cloned into default library voices without consent; that case became the first settlement among the roughly forty-eight AI-copyright suits filed to date, closing quietly in November 2025. In April 2026 a US senator opened an inquiry after the FBI reported $893M in AI-voice scam losses for 2025, and ElevenLabs pointed to "an extensive array of safeguards" (Forbes, 2026-04-19). The shape is real-world misuse followed by an after-the-fact policy response, three incidents across three years. On consent, the platform's own rule is that you may clone only your own voice, or someone else's from their verified account with explicit permission, and US state statutes (California's Civil Code 3344, New York's Civil Rights Law 50-51, Tennessee's ELVIS Act) require that consent independently. This is compliance context, not a workaround.

Why this score ships at HIGH confidence

The card below is the first on the voice side of this site to carry a HIGH-confidence label, and the reason is unglamorous: two independent review platforms with more than a thousand ratings each, plus a consumer-trust record that, at Trustpilot's 3.1 ("Average"), sits above the line where our model stops trusting a company's own numbers. Most tools we score fail one of those tests. ElevenLabs clears both, so 79.5/100 (4.0/5) ships without the coverage asterisk that rides on most launch-window reviews, even though one row, reliability, stays blank for want of a controlled run. HIGH confidence does not mean high marks. It means the evidence under the marks is deep.

DimensionScoreBasis (dated 2026-07-11)
Capability85.3Artificial Analysis Speech Arena, Elo 1,174 (Eleven v3), rank 12 of 89
Reliabilitynot measuredneeds a controlled run; StatusGator's incident log is context below, not a scored figure
Usability90.7G2 4.5/5 (~1,140 reviews, load-bearing), Product Hunt 4.6/5 (n=28), Capterra ~4.75/5 (n≈17)
Value92.0free tier plus a $6/mo Starter commercial floor
Safety & trust56.0Trustpilot 3.1/5 (1,041 reviews); no user indemnification

Read across and the marks explain themselves. Capability at 85.3 is the Arena Elo mapped onto our scale: high because the model genuinely is good, short of the top because twelfth is not first. Usability at 90.7 leans on G2's ~1,140-review 4.5, with Product Hunt (4.6, n=28) and a thin Capterra sample (~4.75, n≈17) weighted behind it. Value at 92.0 reflects a real free tier plus that $6 Starter commercial floor. Safety and trust at 56.0 is the low mark, and it earns its keep: it carries Trustpilot's 3.1 and the fact that ElevenLabs offers users no indemnification, a term the next section unpacks. Reliability is not a low score, it is a blank: judging how often a generation lands and how fast it returns under load needs a controlled run I have not made, so the card publishes "not measured" rather than borrow an incident log that measures something related but different. How each dimension is built is public.

Who owns a voice you clone, and who indemnifies whom

This is the section every competing review skips, and it is the one a professional should read before uploading a voice or shipping client work. ElevenLabs' terms are plain on the first question: you keep the rights to your Output. What the marketing does not foreground is the license attached to it. By generating on the platform you grant ElevenLabs a perpetual, irrevocable, royalty-free, worldwide, sub-licensable license to use that content to run the service, and if you train a cloned voice, the same broad license covers the uploaded voice audio (an opt-out for training exists in account settings). ElevenLabs does commit that it "will not commercialize your voice on a standalone basis without your permission," which is a real guardrail, but it is narrower than owning the model of your own voice outright.

The sharper surprise is indemnification, and it runs opposite to what most buyers assume. In these consumer terms the user indemnifies ElevenLabs against third-party IP claims arising from what the user generates; ElevenLabs does not indemnify the user in return, and the obligation reads identically for Free and paid accounts. For a solo creator that is usually an abstract risk. For a design team or agency putting synthetic voice into client deliverables it is a line to price in before signing, which is exactly why the safety and trust dimension above sits where it does.

On the cloning itself, ElevenLabs gates the good version behind a plan. Instant Voice Cloning, built from a couple of minutes of audio, ships on Starter; the more stable Professional Voice Clone used for narration-grade consistency needs Creator ($22/mo) or above and a longer training sample. A "voice cloning: yes" checkbox on a comparison grid hides that split entirely.

Cost, credits, and the two ways a balance vanishes

ElevenLabs is billed in credits, not minutes, so the figure that governs a purchase is how far a monthly credit allowance stretches. Pricing verified against elevenlabs.io/pricing on 2026-07-11:

PlanPrice (2026-07-11)Credits/moCommercial rights
Free$010,000 (~10 min TTS)none
Starter$6/mo ($5 annual)30,000yes, the commercial floor
Creator$22/mo ($11 first month, $18.33 annual)121,000yes; Professional Voice Clone unlocks
Pro$99/mo600,000yes
Scale$299/mo (3 seats)1,800,000yes
Business$990/mo (10 seats)6,000,000yes
Enterprisecustomcustomyes

Two rules turn that table from marketing into a budget. First, the Free plan carries no commercial rights: its 10,000 credits (roughly ten minutes of text to speech) are fine for testing, but ElevenLabs' terms restrict Free output to non-commercial use, so a client voiceover generated there cannot legally be monetized. Commercial use, and with it the right to sell what you make, begins at Starter. I leave out the "attribution required on Free" claim circulating in other reviews: ElevenLabs lists "no attribution" as a paid-tier feature, which implies but does not state a free-tier attribution rule, so I will not assert one. One point the "is it free" searches keep conflating: ElevenLabs runs no time-limited trial. The Free plan is a standing tier you can sit on indefinitely at 10,000 credits a month; it just cannot be used to make money.

Second, credits are charged per generation attempt, not per usable clip. A regeneration to fix one mispronounced word costs the same as the first take, which is the documented root of the "credits vanish faster than the minutes I made" complaint. One Product Hunt reviewer put the general version plainly: the "system actually uses credits, not unlimited monthly usage as advertised" (Product Hunt, c. October 2025). Different jobs draw at very different rates: text to speech runs 1 credit per character (0.5 on the Flash and Turbo models), while speech to text costs 330 credits a minute, the sound-effects generator 200 credits a generation, the voice changer 1,000 credits a minute, and automatic dubbing 13,500 credits a minute on paid plans (22,000 on Free).

Then the cancellation trap, which is the credit-forfeiture wave from the review record restated as a rule. Subscription credits, including any rolled-over balance (unused monthly credits roll over up to two months, capped at three times the monthly quota), are forfeited immediately when you cancel or downgrade. Separately bought pay-as-you-go credits behave the opposite way: cancellation does not touch them, but they expire twelve months after purchase. Buyers routinely conflate the two, cancel expecting to keep a paid-for balance, and lose it. Spend a subscription balance down before you change plans.

For developers: the API, and the reliability nobody scored

ElevenLabs' API is the part developers like most, and the reviews back that: one called it "clean and well documented, which made integrating it into our workflow pretty painless" (Product Hunt, c. May 2026). API pricing tracks the same per-character logic as the dashboard, roughly $0.05 per 1,000 characters on Flash and Turbo against about $0.10 on the Multilingual models, and one onboarding surprise is worth flagging: API calls draw from the same monthly credit pool as the web app, not a separate developer allowance.

The caveat is reliability, the dimension the score leaves blank on purpose. Developer reviews measure how pleasant the API is to integrate, not how often it is up. The independent monitor StatusGator has logged more than 212 incidents against ElevenLabs since it began tracking in May 2025, including five in June and July 2026 spanning dubbing failures and elevated error rates, one filed as "Website Slowness and API Request Latency" (StatusGator, 2026). The recurring "is ElevenLabs down" searches line up with that log. It is real context, but it is not a controlled uptime test I ran, so it sharpens this warning without becoming a scored number.

Where ElevenLabs' rivals pull ahead

ElevenLabs is scored on the same instruments as every tool in our voice-generator rankings, and four names beat it on a specific, dated axis rather than in general. A full head-to-head, the "ElevenLabs vs Murf" and broader alternatives questions, earns its own page once those profiles ship; this is the short, defined-criteria version.

AlternativeWhere it beats ElevenLabs (2026-07-11)
Speechify (Simba 3.2)Speech Arena #1 at Elo 1,234 vs Eleven v3's 1,174: higher blind-preference quality
Google Gemini 3.1 Flash TTSSpeech Arena #2 (Elo 1,214), also rated above Eleven v3 on the same board
Cartesia (Sonic 3.5)Speech Arena #3 (Elo 1,207); Capterra reviewers cite it as cheaper for heavy iteration
OpenAI TTSnamed by Capterra reviewers as a lower-cost per-character option for developers
Murf AIno self-serve voice cloning, a simpler fit for teams that only need studio narration

Set the two splits side by side and ElevenLabs resolves, as of 2026-07-11, into a recommendation with conditions attached. The voice is genuinely excellent and the tooling around it (voice cloning, dubbing, a sound-effects generator, a clean API) is deep, which is why developers and creators rate it 4.5 on G2 and why capability and usability carry the 79.5. But the one blind leaderboard puts its best model twelfth of eighty-nine, not first; the company's own consumer-trust record sits at 3.1 on the strength of credit forfeiture on cancel; and the terms hand ElevenLabs a perpetual license while handing you the indemnification bill. So the answer to "is ElevenLabs worth it" depends on which buyer you are. If you want the best-known voice and will manage the per-attempt credit math and the cancellation rule deliberately, start on the free tier, then buy Starter for commercial rights. If you are putting synthetic voice into client work, read the license and the indemnification clause before you commit. The reputation is earned; it is just not the whole measured picture, and this page is re-checked monthly as both the leaderboard and the terms keep moving.

Minel Gunesoglu, founder of Vouch, built this score and wrote the page. Connect on LinkedIn, or read what goes into the audit. Every rating, rank, and price here is dated at the point it appears and re-checked monthly. Disclosure: some outbound links on this site may be affiliate links; a paid submission only ever buys a faster review, never a listing or a better score, both fixed by the methodology alone.

Scores and evidence on this page are re-checked monthly. Read about the person behind the scores, or find me on LinkedIn.