What model file formats can Netron open?

Updated

Netron opens a broad range of neural network, deep learning, and machine learning model files, including ONNX, TensorFlow Lite, Keras, Caffe, Darknet, Core ML, and many others. The exact list depends on the Netron version you use, so the reliable way to confirm a specific format is to open the file in Netron and see whether the graph renders. The site itself describes Netron simply as a "visualizer for neural network, deep learning and machine learning models," and its interface centers on an Open Model action plus a version label — meaning format support is tied to the build you are running rather than a fixed, published list on the landing page.

How to check whether your file is supported

  1. Open the app. Load netron.app in a browser, or launch the desktop build if you use one.
  2. Choose Open Model. Select your model file from disk.
  3. Read the result. If the format is supported, Netron draws the graph — layers as nodes, with connections you can click for details. If it is not, the model will fail to load or show no graph.
  4. Confirm the version. The interface displays a version string; note it if you need to compare behavior across releases.

The expected outcome is a rendered architecture view. A blank canvas or load error is the signal that the format is unsupported in your build.

What the interface tells you

The page evidence shows a minimal shell: an Open Model control, a version indicator, and graph elements such as nodes labeled with operations (add, subtract, multiply) and function names (foo_bar.foo). This confirms Netron's core behavior is graph visualization rather than format conversion — it reads a model and displays its structure. It does not, from the evidence available, export or translate between formats.

Practical implications

  • Format support is version-dependent. Because the site shows a {version} placeholder rather than a static compatibility table, treat any format list as approximate and verify by opening your actual file.
  • No pricing or login signals appear in the provided page evidence. Do not assume the hosted app is free or requires no account; check the live site for current terms.
  • Large or unusual files may behave differently. If a model loads partially, compare against a known-good file of the same format to isolate whether the issue is the format or the file.

A quick decision guide

Your situation What to do
You have a common format (e.g., ONNX, TFLite, Keras) Open it directly and confirm the graph renders
You have an uncommon or vendor-specific format Test-open it; if it fails, check whether a newer Netron version supports it
You need to convert between formats Netron is a visualizer, not a converter — look elsewhere for conversion
You need a guaranteed format list Verify against your installed version by opening representative files

The most dependable answer to "can Netron open this?" is empirical: open the file and inspect the graph. That single test resolves format compatibility faster than any static list, and it also reveals whether the model's structure is what you expect.