magika
Fast and accurate AI powered file content types detection
Discover how Magika is implemented in Rust, exploring its core library and CLI architecture for efficient content inference and batch processing. Learn about its builder pattern, abstracted I/O, and post-processing layers.
How to Use a Custom Model Directory with Magika: Complete Implementation GuideLearn how to use a custom model directory with Magika using the Python API, CLI, or environment variable. Implement Magika with your own models today.
What Information Is Included in the MagikaResult Object in Google MagikaDiscover the MagikaResult object in Google Magika. Learn about the path, status, and prediction attributes containing deep learning output, confidence scores, and content-type determination.
How to Use the Magika Python API with File Streams: A Complete GuideLearn to use the Magika Python API with file streams easily. Discover how Magika identify stream preserves stream position while predicting content types.
How to Use the Magika Python API to Identify Data from BytesUse the Magika Python API to identify data from bytes. Call Magika.identifyBytes() to classify raw byte sequences and get content type, confidence, and MIME type.
How to Identify a File by Path with the Magika Python APILearn to identify files by path using the Magika Python API. Discover content type, confidence, and MIME type with a simple function call for accurate file analysis.
Where to Find Confidence Thresholds for Each Content Type in MagikaFind Magika confidence thresholds for content types in model configuration JSON files. Access specific thresholds like config min JSON to improve your Magika model.
How is the Confidence Score Calculated in MagikaLearn how Magika calculates its confidence score by using the maximum softmax probability from ONNX model outputs to determine label accuracy. Understand Magika's certainty.
What Does the overwrite_reason Field in Magika Results Indicate?Understand the overwrite_reason field in Magika results. Learn why Magika's content-type output may differ from the raw model prediction due to configuration or low confidence.
How to Examine the Raw Model Prediction vs Final Magika OutputExamine raw model prediction vs final Magika output. Access prediction.dl for raw DL labels and prediction.output for final content type. Inspect probabilities with _get_raw_predictions().
Magika Model Output vs Tool Output: Understanding the Difference in Google MagikaUnderstand the Magika model output dl vs tool output. Learn how Magika applies confidence thresholds and rules to deliver a final, processed label for your files.
What Heuristic Magika Uses for Very Small Files: Inside the 8-Byte ThresholdDiscover Magika's 8-byte heuristic for small files. Learn how it efficiently classifies files bypassing neural networks for faster detection.
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