On-Device Models

Lightweight speech-to-text models designed for offline and privacy-sensitive deployments.

Zero ONNX Tiny

Zero ONNX Tiny is a highly optimized on-device transcription model designed to run entirely offline with minimal computational overhead. It is ideal for edge devices, embedded systems, and environments where data privacy is critical.

• Offline transcription (no internet required)
• Low CPU and memory footprint
• Optimized for ONNX runtime
• Ideal for edge & embedded deployments
• Privacy-first processing (audio never leaves device)

Access & Availability

Zero ONNX Tiny is currently available under early access. To request access or discuss deployment requirements, contact us at:

Email: [email protected]
Subject: Request Access - Zero ONNX Tiny

Common Use Cases

• Offline transcription on edge devices
• Healthcare & legal environments with strict privacy needs
• On-premise deployments
• IoT and embedded voice interfaces
• Low-latency real-time transcription