Advanced ONNX Schema Generator | Free Online Tool

Free Online ONNX Schema Generator

Create complete ONNX model schemas for your machine learning models

Model Configuration

Model Metadata

Input Tensors

Output Tensors

Graph Nodes

Additional Options

Generated ONNX Schema

Free Online ONNX Schema Generator

Generate complete ONNX model schemas with our Free Online ONNX Schema Generator tool. Supports input/output definitions, operators, and metadata for machine learning interoperability.

Create Standardized Neural Network Models with Our ONNX Generator

Designing machine learning models that work across different frameworks requires careful specification of inputs, outputs, and operations. Our free online ONNX Schema Generator simplifies this process, helping you create standardized ONNX model definitions for your neural networks.

Why Use Our ONNX Schema Generator?

  1. Framework Interoperability – Create models that work across PyTorch, TensorFlow, and more
  2. Standard-Compliant – Follows ONNX specification for model exchange
  3. Visual Design – Easily configure complex neural network architectures
  4. Production-Ready – Generate schemas ready for deployment
  5. Completely Free – No signup required, no hidden costs

Key Features of Our Advanced ONNX Generator

  • Model Metadata:
    • Name, domain, and version
    • ONNX version compatibility
    • Description and documentation
  • Input/Output Configuration:
    • Tensor names and types
    • Shape definitions (including dynamic dimensions)
    • Multiple inputs/outputs support
  • Neural Network Operations:
    • Common layers (Conv, Pooling, Gemm, etc.)
    • Activation functions (Relu, Softmax, etc.)
    • Normalization layers (BatchNorm, etc.)
    • Custom node configurations
  • Export Options:
    • Copy to clipboard
    • Download JSON configuration
    • Schema validation (simulated)

How to Use the ONNX Schema Generator

  1. Configure Model Metadata (name, domain, version)
  2. Define Input Tensors (name, type, shape)
  3. Define Output Tensors (name, type, shape)
  4. Add Network Nodes (operations with inputs/outputs)
  5. Set Additional Options (IR version, producer info)
  6. Click Generate to create your ONNX schema
  7. Copy or download the configuration
  8. Implement in your machine learning framework

Example Generated Schema

{
  "model": {
    "name": "MyImageClassifier",
    "domain": "ai.onnx",
    "version": 1
  },
  "onnxVersion": "1.11.0",
  "inputs": [
    {
      "name": "input",
      "type": "FLOAT",
      "shape": [1, 3, 224, 224]
    }
  ],
  "outputs": [
    {
      "name": "output",
      "type": "FLOAT",
      "shape": [1, 1000]
    }
  ],
  "nodes": [
    {
      "name": "conv1",
      "op": "Conv",
      "inputs": ["input"],
      "outputs": ["conv1_out"]
    },
    {
      "name": "fc1",
      "op": "Gemm",
      "inputs": ["conv1_out"],
      "outputs": ["output"]
    }
  ]
}

Who Can Benefit From This Tool?

  • ML Engineers – Design portable neural network architectures
  • Researchers – Share models across different frameworks
  • Students – Learn ONNX model specification
  • Startups – Rapidly prototype interoperable models
  • Enterprise Teams – Standardize model exchange formats

Advanced ONNX Features Made Simple

Our tool goes beyond basic configuration to support:

  • Dynamic Shapes – Specify flexible input dimensions
  • Complex Architectures – Build multi-branch networks
  • Operator Sets – Select from standard ONNX ops
  • Version Control – Target specific ONNX versions
  • Validation – Check schema consistency

Try It Now – No Registration Required

Ready to design your portable neural network? Use our Free Online ONNX Schema Generator now – it’s completely free with no signup required. Bookmark this page for your next ML project!

Frequently Asked Questions

Q: Is this tool really free?
A: Yes, 100% free with no hidden costs or limitations.

Q: Does it support the latest ONNX version?
A: Yes, the tool supports ONNX versions up to 1.11.0.

Q: Can I define custom operators?
A: The tool focuses on standard ONNX operators but you can extend the generated schema.

Q: What about model weights and parameters?
A: This tool generates the model schema/structure. Weights would be added during actual model export.

Q: Can I import this into PyTorch/TensorFlow?
A: Yes, the generated schema can guide your model implementation in these frameworks.

Build better machine learning models today with our Free Online ONNX Schema Generator! Whether you’re working on computer vision, NLP, or other AI applications, our tool helps you create professional-grade model schemas in minutes.

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