NLP & Text Utilities
Whistle
Ultra-compact 16.9 MB on-device speech recognition model
Open sourceRuns on your device
Pricing
Open Source
Free
Platforms
macOS - Windows - Linux
Self-hosted or local
Category
NLP & Text Utilities
66 tools
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0
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Last updated
Oct 14
Listing updated
Best for
On-device audio transcription
Transcribe speech locally on edge devices, smartphones, and laptops without external network latency or cloud server costs.
Pricing checked Oct 2026
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About Whistle
Whistle is an ultra-lightweight speech-to-text model engineered by Cactus Compute for edge execution. At only 16.9 MB with 55M parameters (36M active) and 2-bit quantization, it runs locally on standard CPUs across mobile, desktop, and embedded hardware without internet connectivity. It delivers word-level timestamps, keyword biasing, and low latency across seven languages.
- Extremely compact 16.9 MB binary size
- Runs locally on plain CPU with zero cloud dependencies
- Accurate word-level timestamps and keyword biasing support
- Limited to 7 primary European languages at launch
- Accuracy can degrade in very noisy or overlapping multi-speaker environments
git clone https://github.com/cactus-compute/whistle.gitOpen source tool available on GitHub.
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