AI Tool Profile

whisper.cpp

A local C/C++ runtime for OpenAI Whisper speech-recognition models.

Before you buy

Best for: Creators who want local transcription and can manage model files, audio preparation and corrections.

Price: Canada/CAD: C$0 MIT runtime; hardware and electricity separate

Included: The MIT runtime runs compatible Whisper weights locally; a local run has no hosted per-minute subscription charge.

Main limits: Model size, quantization, VAD and compute affect accuracy and speed. It does not turn speech recognition into reliable speaker attribution or an unreviewed publishable transcript.

What Kingy showed: The thirty-minute public-audio comparison used Whisper large-v3-turbo Q5_0 through whisper.cpp on CPU with Silero VAD 6.2.0; English aggregate WER was 15.34%.

Buying details checked 2026-10-22 with region and currency stated above. Historical demonstrations and the broader fact ledger keep their own dates.

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Kingy AI Product Facts

whisper.cpp

Current statusUnknown

Company
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Primary job
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Audience
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Evidence
Source-backed; coverage expanding
Latest source check
October 23, 2026
See all tracked product factsPricing, platforms, dependencies, data claims, regions, and timeline

Sources and checks

Coverage
1 of 87 tracked fields currently verified
Sources
1

Source-check dates apply to the tracked facts. Editorial updates elsewhere on this page may have a different date.

Plans and pricing units

Not yet structured in this Kingy record.

Where it runs

Availability
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Stack and integrations

Model / provider dependencies
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Integrations
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Data and regions

Vendor data-use claim
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Vendor retention claim
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Regions
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Launch and latest material update

Launch
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Latest material update
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Review history
  1. whisper.cpp — Product Facts updated

    Kingy published an approved change to this Product Facts record.

    View published revision
  2. whisper.cpp — Product event recorded

    Kingy recorded a product event. This entry does not verify every claim in the profile.

    View published revision
Technical evidence and revision history
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This label is not a security certification, audit, or product endorsement. It reports the facts Kingy currently supports and when they were last checked.

Which plan is worth considering

Canada/CAD: C$0 MIT runtime; hardware and electricity separate. The MIT runtime runs compatible Whisper weights locally; a local run has no hosted per-minute subscription charge.

Limits that affect the purchase

Model size, quantization, VAD and compute affect accuracy and speed. It does not turn speech recognition into reliable speaker attribution or an unreviewed publishable transcript. Free software excludes the cost of the computer and operating the workflow. Hosted OpenAI transcription is a separate service. The project exposes local CLI, library and server workflows. A local configuration needs its own network and data-flow verification.

What the existing demonstration shows

The thirty-minute public-audio comparison used Whisper large-v3-turbo Q5_0 through whisper.cpp on CPU with Silero VAD 6.2.0; English aggregate WER was 15.34%. One five-minute Hindi-English slice scored 30.84% under the script-sensitive rubric. These results are not a general multilingual or modern streaming leaderboard. This describes the dated retained Kingy record, not a new product test. See the retained Kingy demonstration.

Sources and buying-review date

Buying details checked October 22, 2026. Plan research uses current official sources; demonstration descriptions use the retained Kingy record and any captured creator chapters. No new subscription, paid generation or checkout was performed. The buying-review date does not renew every claim in the broader facts ledger.

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Alternatives

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Launch History

No structured launch records are linked to this tool yet.