Built with open-source models

TinyModel uses public models and browser runtimes. Models are downloaded as static assets and inference takes place on your device.

• BiRefNet Lite 512 — MIT model card; based on BiRefNet.
• PP-OCRv6 Small detection and recognition — Apache-2.0.
• Whisper — MIT; ONNX conversion by ONNX Community.
• ESRGAN Slim and UpscalerJS — MIT.
• Transformers.js, ONNX Runtime Web, TensorFlow.js, OpenCV, Clipper, Next.js, React, MDX, and Lucide support the application.

Exact model revisions and file checksums are recorded in the project model lockfile. License texts accompany the repository's third-party notices. The decorative woodland illustration was generated specifically for TinyModel.