Convert CoreML to JSON Online Free

The conversion extracts model architecture, layer configurations, input/output specifications, tensor shapes, data types, model metadata, version information, and any embedded descriptions or documentation.

No, the JSON output contains model structure and metadata but not the trained weights. You cannot recreate a functional CoreML model from this JSON representation alone.

No, only the model architecture and metadata are extracted. The actual neural network weights remain in the binary CoreML format and are not included in the JSON output for privacy and size reasons.

Large models may take longer to process, but only the metadata and architecture are extracted, not the weights. The resulting JSON file will be much smaller than the original CoreML file.

Yes, processing happens entirely in your browser. Your model files never leave your device, and only structural information (not weights) is extracted to JSON.

Yes, the JSON output includes detailed input/output specifications including tensor shapes, data types, names, and any preprocessing requirements defined in the CoreML model.

The converter supports CoreML models created with Core ML Tools and Xcode across different versions. Newer model features may have varying levels of detail extraction.

You can integrate this conversion into CI/CD pipelines to automatically extract and validate model properties, check for breaking changes, and generate documentation.

Encrypted CoreML models cannot be processed as the structure is not accessible without decryption keys. Only standard, unencrypted CoreML models are supported.

Yes, if your CoreML model contains custom layers or operations, their configurations and parameters will be included in the JSON output where accessible through the model structure.