How we compare, and on what
We make one of the products listed here, so none of this is neutral. What we offer instead is a fixed method: every comparison is decided on what each vendor publishes, every claim names the URL it came from and the date it was read, a page we could not reach is recorded as not reached rather than as absent, and where a rival publishes something we do not, that goes near the top of the page rather than the bottom.
All ten comparisons were re-verified on 31 August 2026 against the vendors' live sites, and are re-checked quarterly. The next review is due November 2026.
Truthring is pre-launch and holds no measured accuracy figures. Our column on every page below states what we commit to publish, not what we have measured, and says so in those words.
Why there is no league table of accuracy anywhere on this site. Measuring a competitor honestly needs their test set, their thresholds and an independent party to run it. We have none of those. Pushing our own clips through someone's free tier measures them on data we chose, and a dataset always flatters the people who assembled it. Our own framework is published in advance on the benchmark page so it can be argued with before any number exists. Everything on the pages below is a matter of public record instead.
What the August 2026 review changed
The re-check produced a result that cut against our own positioning, so it belongs here rather than in a footnote. Three of the enterprise vendors publish considerably more than the consumer tools do, and more than we had assumed when these pages were first drafted.
Checked 31 August 2026, Pindrop publishes a false positive rate: “<1% False positive rate”, footnoted as “99.4% accuracy with less than 1% false positives”, at pindrop.com/product/pindrop-pulse/. No test set, prior or threshold is attached to it, which limits what a reader can do with the figure — but publishing the number at all puts them ahead of every consumer tool in this list, and ahead of us today, since we have no measured figure to publish.
Hiya publishes a per-dataset breakout across fourteen named public datasets, with an average equal error rate of 2.113%, a pooled figure of 2.324% and a range from 0.000% to 12.099%, on their blog dated to the Hugging Face speech deepfake arena. Publishing the spread, including the dataset where the model performs worst, is a considerably more informative disclosure than a single headline average.
Resemble publishes false positive rates for image (4%) and video (0.95%) at resemble.ai/benchmarks, names its datasets and test conditions, and prints the caveat “Resemble AI does not control test set composition”. An audio false positive rate was not found there on 31 August 2026.
The honest consequence: our disclosure argument is strong against the consumer and free tools, where the review found nothing published in most rows, and much weaker against Pindrop, Hiya and Resemble, where the difference is about what kind of evidence is published rather than whether any is. The comparison pages for those three now say so in their own words. Overclaiming here would be precisely the behaviour this site exists to object to.
The four questions each comparison answers
Is the false positive rate published?
How often genuine human speech is flagged as synthetic. This is the number that decides whether a detector can be pointed at a person — an employee, a student, a defendant — without doing harm. As of 31 August 2026 it was published by Pindrop and, for image and video, by Resemble; it was not found on any of the consumer or free tools reviewed.
Is the method written down and reachable?
Not the marketing description. A page a reader can open, stating what is measured, at what threshold, under what version, and what happens when the answer is uncertain. Reachable is part of the test: a cited document that does not resolve cannot do the work the citation assigns it.
Are the limits stated?
Every detector fails on short clips, heavy compression and re-recorded audio. A vendor who names their failure conditions is more believable about their successes. Some free tools do this better than some paid ones.
Can a result be re-examined?
Whether a verdict carries a version stamp and a reference that lets the analysis be reopened and challenged later — the difference between a number on a screen and something usable when someone disputes it.
Comparisons
| Comparison | What it turns on, after the August 2026 review | Checked |
|---|---|---|
| Truthring vs aivoicedetector.com | A versioned methodology cited as what makes a verdict defensible, which ten URLs did not resolve to. They publish a 24-hour deletion policy we do not yet match. | 31 Aug 2026 |
| Truthring vs the ElevenLabs classifier | A generator grading its own output, and saying so: their docs state it detects ElevenLabs speech and is not a general-purpose detector. Now labelled legacy. | 31 Aug 2026 |
| Truthring vs Resemble Detect | A vendor that publishes datasets, test conditions and image and video false positive rates — and three different audio accuracy numbers across its own properties. | 31 Aug 2026 |
| Truthring vs voiceaichecker.com | A free tool that names the supplier processing your audio and publishes no accuracy figure at all — and no legal entity either. | 31 Aug 2026 |
| Truthring vs Pindrop | Call-centre infrastructure against a per-clip check — and the only vendor reviewed publishing an audio false positive rate. | 31 Aug 2026 |
| Truthring vs Reality Defender | Four modalities and the best result metadata of the field, against audio depth. No vendor accuracy claim was found on their site. | 31 Aug 2026 |
| Deepware checks faces, not voices | A face-manipulation scanner that states plainly it does not analyse voice, and publishes no accuracy percentage at all. | 31 Aug 2026 |
| Truthring vs Hiya | Live in-call screening against after-the-fact analysis, plus a per-dataset error-rate breakout across fourteen named public datasets. | 31 Aug 2026 |
| What happened to Loccus.ai | Discontinued. On 31 Aug 2026 loccus.ai redirected to Hiya's AI voice detection product. The page now records the acquisition and points to the Hiya comparison. | 31 Aug 2026 |
| Truthring vs free browser detectors | Four named tools scored as counts. Zero of four publish a false positive rate; one of four publishes a dated, versioned methodology page. | 31 Aug 2026 |
Each page records the URL and the date behind every claim. Vendors change what they publish and these pages go stale quickly, which is why the review is quarterly and dated rather than perpetual and vague. If something here is out of date or wrong, tell us and the correction goes up with its own date: corrections@aivoicedetctor.com
When you should not choose us
Four cases, plainly, and the review made the first three sharper.
- You need live calls screened as they happen. Truthring analyses a file after the fact. Hiya analyses voice characteristics during a live call and Pindrop advertises a verdict in about two seconds mid-call. If interrupting a call in progress is the requirement, they are built for it and we are not.
- You need images, video or text as well as audio. We are audio-only by choice. Reality Defender covers four modalities and Resemble publishes cross-modal benchmarks; either will cover more ground than us and go less deep on this one.
- You need published error rates today. We are pre-launch with none. Pindrop publishes a false positive rate and Hiya publishes a per-dataset error breakout, both checked 31 August 2026. Until our own measurements exist, that comparison goes against us.
- You need a single yes or no with no caveats. We do not sell certainty. If a workflow requires a binary answer nobody will question, no honest detector fits it — the technology does not support the claim, whoever is making it.
Questions
Why is there no accuracy ranking on any of these pages?
Because we cannot produce one honestly. Ranking detectors requires all of them run over the same held-out clips at the same thresholds by someone with no commercial interest in the result, and no such public test exists for this field. Anything we assembled ourselves would score rivals on our data and flatter us by construction, while looking entirely fair.
How often are these comparisons re-checked?
Quarterly. All ten were verified against the vendors' live sites on 31 August 2026, and the next review is due in November 2026. Every page carries the date its claims were read, so you can see how stale it has become without having to guess.
Do you ever find that a competitor publishes more than you do?
Yes, and the August 2026 review found several. Pindrop publishes a false positive rate; Hiya publishes a per-dataset error breakout; Resemble publishes datasets and test conditions; aivoicedetector.com publishes a 24-hour deletion window; voiceaichecker.com names the third party that processes uploads; EyeSift publishes a dated, versioned methodology page. Truthring publishes none of those things today, and each comparison page says so on the page itself.
What does it mean when a page says something was not found?
Exactly that: the item was looked for at a named URL on a named date and was not there. It is not a claim that the vendor publishes it nowhere. Where a request failed or a page could not be loaded, the comparison records the failed request rather than converting it into an absence.
Judge us by the same test
Start with these three
If you are mid-problem
All ten comparisons verified against the vendors' live sites on 31 August 2026. Re-checked quarterly; next review due November 2026. Corrections are published with a date rather than made silently.
What is the best AI voice detector?
There is no single best one, and anyone who tells you otherwise is selling something. But there is a test that separates them, and you can apply it yourself in about ten minutes: does the vendor publish the rate at which genuine human speech is wrongly flagged, broken out by recording condition, with a date on it?
Checked on 31 August 2026, the answers divided cleanly. Pindrop publishes a false positive rate. Hiya publishes an error-rate breakout across fourteen named public datasets, including the one it performed worst on. Resemble AI publishes its datasets, its test conditions and false positive rates for image and video. Four free browser tools published none of it — no error rate, no per-condition accuracy, no named human, no certification. Truthring has not launched and has no measured figures to publish, which on this test puts it below the first three today.
So the practical answer depends on what you are doing. For screening live calls at scale, Pindrop and Hiya are built for that and Truthring is not. For an individual wanting protection on their own phone, Hiya ships consumer apps. For a single recording that has to survive being questioned later, the thing to look for is a per-clip report carrying the method version, the error rate for that audio condition, and a reference someone else can check — and you should demand that from whoever you choose, us included.
Full working for each vendor, with the URL and date behind every claim, is on the ten comparison pages above.