File format detection

python-magic is a C-binding wrapper that provides a Python interface for the libmagic system library. It functions as a file signature analyzer and MIME type detector, identifying file formats by comparing header bytes against a database of known binary signatures. The library enables the identification of file types from both file paths and raw data buffers. It supports custom file signature matching through the injection of user-provided magic databases, allowing for the detection of specialized or proprietary formats. The project covers binary data analysis and MIME type mapping to transl

file-type is a binary file type detector that identifies file extensions and MIME types by analyzing magic numbers and signature bytes in binary data. It functions as a magic number parser and MIME type resolver, mapping binary signatures to standardized media type strings. The project is an extensible file format identifier that allows for the addition of custom detector plugins to recognize uncommon or non-binary file formats. The engine supports binary format identification across various data sources, including buffers and data streams. It utilizes a supported format registry and provide

File is a command-line utility and C library designed to determine the precise file format and media type of unknown files by inspecting their internal byte sequences, binary signatures, and hierarchical pattern rules rather than relying on file extensions. The software evaluates magic number signature matching and complex multi-byte offsets to classify files accurately. The engine supports recursive archive inspection, automatically unpacking compressed archive structures on the fly to analyze and identify internal nested file payloads. Human-readable pattern definitions can be compiled into

Tika is a content analysis toolkit and Java library designed for detecting and extracting metadata and text from thousands of different file types. It functions as a universal document text extractor and metadata extraction engine, converting complex files into plain text or XHTML. The system employs a specialized MIME type detector that identifies document formats using magic bytes and metadata to determine the correct parser. It serves as an OCR integration gateway, connecting to external text recognition tools to extract content from image files. The project covers a broad range of extrac

Magika is an AI content type classifier and MIME type prediction engine that uses deep learning to identify file formats based on binary data. It analyzes byte sequences through a neural network to predict the content type of a file and provide associated confidence scores. The system features a foreign function interface that allows the core detection logic to be integrated across different programming languages. It includes a mechanism for configuring detection sensitivity and per-type thresholds to balance precision and recall. The project provides capabilities for bulk file analysis via

Fast, dependency-free Go package to infer binary file types based on the magic numbers header signature

Mime Type Detection is a PHP library for determining and mapping media types from file contents, paths, or extensions using fallback lookup strategies. It provides utilities for inspecting file metadata and resolving file formats within PHP applications. The library supports bidirectional mapping between file extensions and media types through static community-curated mapping tables alongside content-based inspection. It includes extension-to-media-type mapping, reverse lookups from media types to valid file extensions, and fallback resolution chains that attempt content inspection before fal