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

Archiver is a multi-format archive library and command-line tool for creating, extracting, and managing compressed archives. It provides a unified interface for working with formats including gzip, bzip2, zip, tar, rar, 7zip, and zstandard, and can automatically detect archive formats by inspecting binary byte headers rather than relying solely on file extensions. The library uses interface-based abstractions and a multi-format codec registry to support format-agnostic operations, while its stream-based compression pipeline processes archive data continuously without loading entire archives i

UniExtract2 is a suite of tools designed for universal archive extraction, batch decompression, and file format analysis. It retrieves files from various compressed formats, software installers, disk images, and game archives into local directories. The project includes a file format analyzer that identifies file types by scanning internal contents and headers without requiring full extraction. It also features an archive password decrypter that attempts to recover access to protected archives using a predefined list of common passwords. The tool supports bulk decompression workflows through

Jimp is a JavaScript image processing library and Node.js manipulation tool designed to perform image transformations and edits entirely within a JavaScript environment. It is a zero-dependency image library that operates without requiring native binaries or external system software dependencies. The project provides a programmatic interface for automated image transformations, including resizing, cropping, and filtering. It supports the creation of custom image pipelines and server-side image editing by processing data without relying on native system tools.

Jodd is a suite of lightweight Java extensions and standard library utilities designed for application configuration, database mapping, dependency injection, and HTML parsing. It provides a consolidated set of core tools to facilitate Java development with a zero-dependency core to ensure compatibility and a small footprint across environments. The project features a pragmatic dependency injection container for managing object lifecycles and a database mapper that uses SQL templates to map result sets directly to Java objects. It includes a specialized configuration manager supporting profile

Super-expressive is a zero-dependency JavaScript library and domain-specific language used to construct complex regular expressions. It functions as a pattern generator that uses natural language syntax to produce native regular expression objects or strings, supporting international text standards through Unicode property matching. The library replaces manual string manipulation and escaping with a method-chaining fluent interface. It allows for modular expression composition, enabling the creation of reusable pattern hierarchies where existing expression instances can be nested as subexpres