Using Google Magika to build an AI-powered file type detector

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  • nextjs-magika

    Let's build a simple file upload component with Next.js to demonstrate how to integrate Magika into a React application for such use cases. You can check the full project code on GitHub and follow along as we build our project.

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  • onnx

    Open standard for machine learning interoperability

    To perform fast inference at runtime, Magika uses the cross-platform Open Neural Network Exchange (ONNX) runtime. ONNX provides a method to optimize, accelerate, and deploy models built using any of the popular frameworks consistently, even across different hardware platforms or instruction set architectures.

  • Keras

    Deep Learning for humans

    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models.

  • file-type

    Detect the file type of a file, stream, or data

    file-type is a lightweight library for checking file types based on the header. It’s designed to run in Node.js and browser environments and provides a simple way of detecting file types from Buffers, files on disk, streams, and Blobs.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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