Pyannote
Speaker-ID API from the open-source diarization standard
Overview
pyannoteAI is the commercial API built on the open-source pyannote-audio toolkit, telling you who spoke when, flagging overlapping speech and matching voiceprints, for teams building transcription and call-analytics products.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 12 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- API & Playground access
- Streaming & batch models
- Email support
- Higher concurrency
- Speaker-attributed transcripts
- Email support
- On-premise deployment
- Custom rate limits
- Dedicated Slack support
Use cases
What you can produce with Pyannote
- Speaker diarization (who-spoke-when)
- Overlapping speech detection
- Voiceprint / speaker identification
- Streaming and batch diarization models
- Speaker-attributed transcript orchestration
- Open-source Community-1 model (self-hostable)
- Precision-2 premium model via hosted API
- On-premise deployment (Enterprise)
ASEAN Perspective
Pyannote in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
pyannote-audio is the toolkit most transcription and meeting-intelligence products quietly rely on for diarization, and pyannoteAI is the company monetizing that reputation with a hosted API. The Precision-2 model claims a real accuracy jump, up to 28% over prior state-of-the-art by the vendor's own benchmark, on top of the open-source Community-1 model that's free to self-host if you'd rather not pay per hour.
This is a building block, not a product you hand a non-technical user. It fits teams already shipping transcription, meeting-recap, or call-center analytics tools who need better speaker separation than they're currently getting and are comfortable integrating an API. Pricing is metered in euros and can add up: the Developer tier is capped at 170 hours a month for €19, and heavier use pushes you into the €99 Starter tier or a custom Enterprise deal. Diarization itself is language-agnostic, so there's no ASEAN-language gap here, it works the same on any spoken language, the interface and billing are just English/euro-only.
What people say
pyannoteAI doesn't show up in mainstream review aggregators (G2, Capterra) the way consumer-facing AI tools do, which is normal for a developer-only API layered on an open-source project rather than a self-serve SaaS app; the meaningful signal here comes from the open-source project's adoption and vendor benchmarks rather than star ratings.
The underlying pyannote-audio library is one of the most widely cited diarization toolkits in the speech research and applied-AI community, and it's frequently the layer other transcription vendors, including competitors, integrate under the hood rather than build their own from scratch. That kind of default-choice status is a stronger trust signal for infrastructure tooling than a review count.
On the commercial side, pyannoteAI's own comparisons claim Precision-2 beats prior state-of-the-art diarization models by up to 28%, a number worth treating as a vendor claim rather than independently audited, but it's directionally consistent with the toolkit's reputation. The company also positions itself against Gladia and other speech-AI vendors as an integration partner rather than a competitor, per its own blog, which fits how most teams actually use it: bolted onto an existing transcription pipeline rather than as a standalone product.
Practical adoption signals: a 30-day free trial with 150 hours and no credit card required lowers the bar to test it before committing, and the Community-1 model being open-source under the pyannote org gives risk-averse teams an escape hatch, self-host if the hosted pricing doesn't work at your volume. For teams weighing diarization vendors, the open-source pedigree plus the option to self-host is arguably the strongest differentiator over closed competitors.
On cost structure specifically: the Developer tier's €19/month for 170 hours works out to roughly €0.11/hour, while the Starter tier's €99 for 825 hours brings the effective rate down closer to €0.12/hour for Precision-2 or as low as €0.035/hour if you're willing to run the open Community-1 model instead. That's a meaningfully cheaper entry point than most closed diarization APIs, and it gives teams a real lever to control cost by trading some accuracy for price at scale. The absence of consumer review coverage isn't a red flag here so much as a category mismatch, this product is evaluated by the engineers integrating it, not by end users leaving star ratings, and that evaluation happens in benchmark comparisons and GitHub stars rather than G2 threads.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Pyannote's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Pyannote unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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