Lightweight, on-device translation for mobile and wearable devices

Cloud translation APIs such as Google Cloud Translation, DeepL API, and Amazon Translate send text to a remote server for processing and return a translated result over the network. This creates latency, a connectivity dependency, potential data privacy exposure, and unbounded costs at scale. Zebra Translate performs translation on the device itself, eliminating network latency, removing the connectivity requirement, ensuring that the data never leaves the device, and replacing usage-based cloud pricing with a predictable licensing model. In short, Zebra Translate is a better alternative to cloud translation APIs for enterprises with hardware-constrained devices, high-security environments, or high-volume translation apps.

Google ML Kit is limited to Android/iOS and requires Google Play Services or special permission to be used on embedded devices such as cars, TVs, appliances, or speakers without Google's permission. Zebra Translate is platform-agnostic. It runs on Linux, Windows, and Raspberry Pi, offering higher accuracy for technical and enterprise-specific vocabulary.

CoreML models are available via the Swift Translation API for third-party App Store apps. It is exclusive to Apple platforms and cannot be used on Android, Linux, Windows, or embedded hardware. Zebra Translate supports all of these platforms, making it suitable for cross-platform products and non-Apple deployments.

The major difference between Zebra Translate and Opus MT by Helsinki NLP is production readiness, which can be quantified by speed, peak memory usage, and enterprise support options.

Opus MT, or Opus Machine Translation by Helsinki NLP, is the oldest, most popular on-device, open-source translation model family developed by the language technology research group at the University of Helsinki. While it's great for research and has inspired many researchers, it's not built for production. That's why Zebra uses only 18% of the RAM required by Helsinki's Opus translation models and translates 2.4x faster while matching the accuracy of Helsinki Opus MT.

Zebra Translate performs 100% on-device inference. Once the language model is bundled with your app, no data is ever sent to a server, making it ideal for offline use, remote environments, and high-security applications.

Each Zebra Translate language pair model requires 50–80 MB of on-device storage. RAM consumption during active translation is typically 75–95 MB. Models are designed for mobile and embedded hardware and do not require a GPU.

Zebra Translate is designed to work in a modular stack. By combining it with Cheetah Streaming Speech-to-Text and Orca Streaming Text-to-Speech, you can build a fully offline, speech-to-speech translation system.

Yes. Because Zebra Translate processes all text data locally on the host device, no sensitive user data is ever transmitted or stored in the cloud. This privacy-by-design approach inherently meets the requirements for GDPR, HIPAA, and CCPA.

Zebra supports 8 major languages, including English, French, German, Korean, Japanese, Italian, Spanish, and Portuguese. For enterprises with specific needs, Picovoice offers custom model training for language pairs not currently in the standard catalog.

Zebra Translate has no network dependency. The translation model runs entirely on the local device, so it functions in air-gapped networks, disconnected field devices, aircraft or maritime systems, manufacturing environments without internet access, and any deployment where outbound connectivity cannot be guaranteed.

Zebra Translate is private by design. Text submitted for translation never leaves the device. The data is processed locally by a compact on-device neural model. There is no Picovoice or third-party server involved in the translation operation. This makes it suitable for law enforcement applications, healthcare records, legal documents, financial data, and other categories of sensitive content.

Picovoice offers custom model training for enterprise customers who require domain-specific translation accuracy — for example, medical, legal, military, or technical vocabulary. Custom models are developed under NDA and can be trained for language pairs outside the standard catalogue. Contact Picovoice Sales for a custom model assessment.