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Pella Research

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What Pella Research is

Pella Research develops tools for assessing whether audio is synthetic, with work focused on signals such as vocoder artifacts, spectral statistics, and prosodic cues. Its pellav2 model is available as open weights under the MIT license, and the maker says the public checkpoint reproduces its submitted benchmark score. In the August 2026 Podonos benchmark, Pella reports 95.82% accuracy, a 0.959 F1 score, and 57 ms latency. It also reports 93.6% accuracy on m4a files and says false positives make up more of its errors. Pella says its models are trained and tested on audio affected by phone-line compression, background noise, and re-encoding.

A browser demo lets visitors upload or record a voice clip and receive a verdict without signing up; the page says audio is not stored. The demo uses free shared hardware, and its first request after a quiet period can take up to a minute to wake. For programmatic checks, Pella offers a REST API that returns calibrated authenticity scores and per-segment analysis. API access is reviewed on request, typically with a response within 24 hours. Accredited journalists and academics can receive a free API tier. Pella also publishes evaluation sets tracking new voice-cloning systems, with documented provenance and no train/test leakage. The company lists Amsterdam, Netherlands, as its location.

Who it suits

Pella suits journalists, platforms, researchers, institutions, and courts investigating whether audio is synthetic. Its browser demo supports individual checks, while its reviewed API provides scores and segment-level analysis for programmatic use.

What it does well

Browser demo accepts uploaded or recorded clips without signup.
Demo page says audio is not stored.
API returns calibrated authenticity scores and per-segment analysis.
pellav2 is open weights under the MIT license.
Evaluation sets document provenance and avoid train/test leakage.

What to know first

API access requires a request and review.
Demo may take up to a minute to wake after a quiet period.
Pella reports 93.6% accuracy on m4a files and a false-positive tendency.

Limits

The API's free tier is listed for accredited journalists and academics. Pella reports 93.6% accuracy on m4a files and says errors lean toward false positives; the free shared-hardware demo can take up to a minute to wake after a quiet period.

Getting started

Open the browser demo on the Pella Research website.
Upload a voice clip or record one in the browser demo.
For API access, submit a request for review.
If accredited as a journalist or academic, request the free API tier.
Use the public pellav2 checkpoint under its MIT license.

Verdict

Choose Pella Research if you need synthetic-speech analysis, an open-weight model, or an API for audio checks. The browser demo offers a direct way to get a verdict, while API users should account for reviewed access and the reported m4a accuracy and false-positive limitation.

Questions

What does Pella Research do?

It studies synthetic speech and builds models to assess whether audio is synthetic, using cues such as vocoder artifacts, spectral statistics, and prosody.

Is there a free way to try it?

The browser demo is available without signup. Pella also lists a free API tier for accredited journalists and academics.

How do I get API access?

Submit a request for review. Pella says it typically responds within 24 hours.

What does the API return?

It is a REST endpoint that returns calibrated authenticity scores and per-segment analysis.

Is pellav2 open source?

Pella describes pellav2 as open weights under the MIT license and says the public checkpoint reproduces its submitted benchmark score.

What platforms are available?

Pella lists web and API access.

Facts from Pella Research's own pages

Access and support: API access is reviewed on request for journalists, platforms, researchers, and institutions, with a typical response within 24 hours. · pellaresearch.com, 7 Oct 2026
Access response: Pella says it reviews API requests and typically responds within 24 hours. · pellaresearch.com, 7 Oct 2026
API: The detection API is a REST endpoint that returns calibrated authenticity scores and per-segment analysis, with access granted on request. · pellaresearch.com, 7 Oct 2026
API audience: The API is offered to journalists, platforms, researchers, and institutions, and the page lists a free tier for accredited journalists and academics. · pellaresearch.com, 7 Oct 2026
Benchmark limitation: Pella reports 93.6% accuracy on m4a files and says its errors lean toward false positives. · pellaresearch.com, 7 Oct 2026
Benchmark result: Pella reports that pellav2 achieved 95.82% accuracy, a 0.959 F1 score, and 57 ms latency in the August 2026 Podonos benchmark. · pellaresearch.com, 7 Oct 2026
Benchmarks: Pella says its evaluation sets track new voice cloning systems and use documented provenance with no train-test leakage. · pellaresearch.com, 7 Oct 2026
Demo limitation: The live demo runs on free shared hardware, and its first request after a quiet period can take up to a minute to wake up. · pellaresearch.com, 7 Oct 2026
Free access: Pella states that accredited journalists and academics can receive a free API tier. · pellaresearch.com, 7 Oct 2026
Headquarters: Amsterdam, Netherlands · pellaresearch.com, 28 Sept 2026
Intended users: Pella describes its work as serving platforms, journalists, courts, and researchers investigating whether audio is synthetic. · pellaresearch.com, 7 Oct 2026
Known failure case: Pella reports 93.6% accuracy on m4a files in that benchmark and says its errors lean toward false positives. · pellaresearch.com, 7 Oct 2026
License: The maker lists pellav2 as open weights under the MIT license. · pellaresearch.com, 7 Oct 2026
Live demo: The browser demo lets users upload or record a voice clip and receive a verdict without signup; the page says no audio is stored. · pellaresearch.com, 7 Oct 2026
Location: The site lists Amsterdam, Netherlands. · pellaresearch.com, 7 Oct 2026
Model availability: The site describes pellav2 as open weights under the MIT license and says the public checkpoint reproduces the submitted benchmark score. · pellaresearch.com, 7 Oct 2026
Product: Pella Research builds models to detect synthetic speech by analyzing vocoder artifacts, spectral statistics, and prosodic cues. · pellaresearch.com, 7 Oct 2026
Purpose: Pella Research studies synthetic speech and builds models to detect it in real-world audio. · pellaresearch.com, 7 Oct 2026
Real-world conditions: Pella says its models are trained and tested with phone-line compression, background noise, and re-encoding. · pellaresearch.com, 7 Oct 2026
Research: Its research examines vocoder artifacts, spectral statistics, and prosodic cues left by speech synthesis. · pellaresearch.com, 7 Oct 2026
Research and benchmarks: It publishes evaluation sets that track new voice cloning systems, with documented provenance and no train/test leakage. · pellaresearch.com, 7 Oct 2026
Robustness: Pella says its models are trained and tested on audio affected by phone-line compression, background noise, and re-encoding. · pellaresearch.com, 7 Oct 2026

Where Pella Research stands on Freedom251

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