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pyannote

pyannoteAI

Open source★ #20 in Audio Generation

Product status: Status not recorded

No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

No status check date recorded

Python speaker-diarization toolkit with separately licensed community models and paid cloud/on-premises offerings. No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

Product preview

www.pyannote.ai
Preview of pyannote

Decision notes

Official-document research

Based on the cited documentation. We did not use the product, purchase a plan, or run quality, speed or reliability tests in this review.

Consider it for

  • Developers able to review speaker assignments and manage audio consent

Choose another approach if

  • Guaranteed speaker accuracy, zero-configuration transcription or assumed zero telemetry

Pricing and conditions

Documented terms

Cloud Developer EUR19/month includes EUR19 usage credit/1 seat; Starter EUR99/month includes EUR99/3 seats. Precision-3 rates are EUR0.112/0.096 per audio hour respectively; hosted Community-1 EUR0.035/hour. Included credit offsets usage; these are not unlimited-hour subscriptions. Terms default to tax-exclusive EUR, monthly actual usage and a 20-second minimum per file. Thirty-day trial hours differ across page sections (up to 170 vs a 150-hour identification example); confirm scope in account. Rollover, overage controls, regional totals and refunds unknown. Enterprise/on-premises custom quote; MIT toolkit has no software license fee but hardware/operations cost extra.

Pricing source read:

Pricing or terms source

Code, model and service licensing

MIT covers toolkit code with notices; Community-1 weights use CC BY 4.0 with attribution/license/change notices and separate access conditions, not MIT. Other models need their own cards. Cloud output IP remains the customer's after payment, while resale of the service/account and training competing diarization from results/know-how are restricted. The service terms forbid pyannoteAI training/improving its models on customer audio/outputs without explicit customer consent. This is not zero retention: privacy leaves API storage duration to website rules. Local library telemetry is configurable; quoted on-premises terms keep audio local but permit billing/usage signals. Input and biometric-processing rights remain yours to establish.

Basis and limits of the recorded score

Original 4.5/5 retained; original scoring worksheet and hands-on evidence unavailable. Documentation review did not re-score.

Overview

pyannote.audio is a Python/PyTorch toolkit for identifying who spoke when. Community-1 can run locally after model download and access-condition acceptance. Precision examples call pyannoteAI servers; a Python interface does not make those requests local. Cloud plans and quoted on-premises deployment have separate service terms. Diarization is not itself a full transcription workflow, and errors need review.

Sources

The factual claims in this review were read from the pages below. Each date is when an editor last opened the source, not when the product changed.

Pros / Cons

Pros

  • Local community and hosted deployment paths
  • Explicit code, model and service terms

Cons

  • Dependencies, model access and speaker errors require engineering
  • Cloud billing has per-file minimums; telemetry differs by deployment

Who it's for

01

Speaker-labelled transcript pipelines

02

Evaluating local Community-1 versus a contracted cloud/on-premises service

Bottom line

Pick the exact model and deployment, then check its license, audio permissions and billing minimums.

Key Features

Speaker diarization pipelines
Downloadable Community-1 model
Metered cloud processing

Tags

DiarizationPythonModel licensing

Frequently asked questions

Is pyannote currently available?

No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.

What is pyannote?

pyannote is a Audio Generation tool developed by pyannoteAI. Python speaker-diarization toolkit with separately licensed community models and paid cloud/on-premises offerings.

What costs and terms should I check for pyannote?

Cloud Developer EUR19/month includes EUR19 usage credit/1 seat; Starter EUR99/month includes EUR99/3 seats. Precision-3 rates are EUR0.112/0.096 per audio hour respectively; hosted Community-1 EUR0.035/hour. Included credit offsets usage; these are not unlimited-hour subscriptions. Terms default to tax-exclusive EUR, monthly actual usage and a 20-second minimum per file. Thirty-day trial hours differ across page sections (up to 170 vs a 150-hour identification example); confirm scope in account. Rollover, overage controls, regional totals and refunds unknown. Enterprise/on-premises custom quote; MIT toolkit has no software license fee but hardware/operations cost extra.

Is pyannote open source?

MIT covers toolkit code with notices; Community-1 weights use CC BY 4.0 with attribution/license/change notices and separate access conditions, not MIT. Other models need their own cards. Cloud output IP remains the customer's after payment, while resale of the service/account and training competing diarization from results/know-how are restricted. The service terms forbid pyannoteAI training/improving its models on customer audio/outputs without explicit customer consent. This is not zero retention: privacy leaves API storage duration to website rules. Local library telemetry is configurable; quoted on-premises terms keep audio local but permit billing/usage signals. Input and biometric-processing rights remain yours to establish.

What are the best alternatives to pyannote?

Notable Audio Generation alternatives include ElevenLabs, Suno, Udio. Browse all 51 tools in our Audio Generation category for a full overview.

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Basic Info

Pricing
Freemium

Cloud Developer EUR19/month includes EUR19 usage credit/1 seat; Starter EUR99/month includes EUR99/3 seats. Precision-3 rates are EUR0.112/0.096 per audio hour respectively; hosted Community-1 EUR0.035/hour. Included credit offsets usage; these are not unlimited-hour subscriptions. Terms default to tax-exclusive EUR, monthly actual usage and a 20-second minimum per file. Thirty-day trial hours differ across page sections (up to 170 vs a 150-hour identification example); confirm scope in account. Rollover, overage controls, regional totals and refunds unknown. Enterprise/on-premises custom quote; MIT toolkit has no software license fee but hardware/operations cost extra.

Editorial score
★ 4.5 / 5 How we score
Platforms
LibraryPythonCloud
Last verified
Not recorded