Added on Oct 31,2026

Desert Ant Labs is an on-device AI lab that builds small, fast AI models and SDKs that developers can drop into their apps, with each model designed to do one job very well.
The models run on the device rather than in the cloud, and are added to a product through one native SDK in a few lines of code. Documentation covers building with Swift, Kotlin and JavaScript, and an llms.txt file is provided for coding agents.
Audio models include Voz for speech recognition (the site says it can transcribe 10 minutes of audio in about 2 seconds on an iPhone), Clear for speech enhancement, Align for word timestamps, Ear for spoken language detection, Uhm for filler-word detection and Who for labelling who said what.
Text models include Emo for emoji suggestions, Gist for content topic tagging, Redact for on-device PII redaction, Title for suggesting titles and descriptions, Tongue for language identification from a few words, Schemer for structured JSON extraction and Toxic for hate speech triage.
Vision models include Eye for tagging and ranking images by aesthetics and content, Moderator for flagging nudity before upload or display, Shapes for turning rough sketches into clean shapes and Face for private on-device face matching. Clips selects highlights for creating video shorts.
Some models, such as Eye, Who, Face, Schemer and Toxic, are marked as beta. Each model page lists benchmarks and use cases.
Pricing: Each model is free up to 100,000 monthly active devices, with unlimited inference.
It is suited to app developers and product teams who want private, low-latency AI features without cloud inference costs.
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