AsuharietYgvar/AppleNeuralHash2ONNX

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1534 stars · 124 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python tool that converts Apple's NeuralHash perceptual hashing model (used in Apple's CSAM Detection system) into ONNX format. It includes a demo script for computing 96-bit NeuralHash hashes of images and instructions for extracting the model files from macOS or iOS.

Use cases

• convert Apple NeuralHash model to ONNX
• compute NeuralHash perceptual hashes for images
• reverse engineer Apple's CSAM detection hashing model
• run NeuralHash inference outside Apple platforms
• analyze how NeuralHash tolerates image resize and compression
• extract NeuralHash model files from macOS or iOS IPSW

When to choose

• you need to run or study Apple's NeuralHash model on non-Apple platforms
• you want to independently audit or research Apple's CSAM detection hashing
• you need perceptual image hashes compatible with Apple's NeuralHash

When to avoid

• you need a general-purpose perceptual hash like pHash and don't require NeuralHash compatibility
• you cannot obtain the proprietary model files from macOS/iOS
• you need a maintained production tool rather than a research artifact

Facets

library · maturity maintenance

machine-learning reverse-engineering image-processing parser machine-learning reverse-engineering image-processing security python neuralhash onnx perceptual-hashing coreml csam-detection model-conversion macos linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="AsuharietYgvar/AppleNeuralHash2ONNX")