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18 个仓库

Awesome GitHub RepositoriesContent Type Detection

Automated identification and parsing of various document and media formats.

Distinguishing note: Focuses on the identification layer of data ingestion rather than the storage or processing logic.

Explore 18 awesome GitHub repositories matching data & databases · Content Type Detection. Refine with filters or upvote what's useful.

Awesome Content Type Detection GitHub Repositories

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  • crewaiinc/crewaicrewAIInc 的头像

    crewAIInc/crewAI

    53,687在 GitHub 上查看↗

    CrewAI is a multi-agent orchestration framework designed for building autonomous systems that execute complex, multi-step workflows. It provides a development platform where specialized agents are defined with specific roles, goals, and tool sets to perform tasks collaboratively. By leveraging a declarative workflow engine, the system manages task dependencies, state transitions, and execution logic, allowing for the creation of structured, stateful sequences of operations. The framework distinguishes itself through its hierarchical management capabilities, which utilize manager agents to coo

    CrewAI identifies and processes various media and document formats using a generic handler that automatically detects content types.

    Pythonagentsaiai-agents
    在 GitHub 上查看↗53,687
  • google/magikagoogle 的头像

    google/magika

    17,139在 GitHub 上查看↗

    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

    Identifies the content type of files using a deep learning model to return accurate MIME types and confidence scores.

    Pythonaideep-learningfiletype
    在 GitHub 上查看↗17,139
  • k2-fsa/sherpa-onnxk2-fsa 的头像

    k2-fsa/sherpa-onnx

    13,017在 GitHub 上查看↗

    Sherpa-ONNX is an ONNX-based speech processing toolkit that provides a local speech recognition engine, an on-device voice synthesis tool, and a speaker identification framework. It is designed as a cross-platform speech API that enables speech-to-text, text-to-speech, and speaker verification tasks to be executed locally on a device without requiring network access. The project is distinguished by its ability to perform zero-shot voice cloning and speaker diarization on-device. It supports a wide range of hardware accelerations, including GPU and various NPU architectures, and provides a Web

    Allows adjustment of the balance between trigger rate and false alarms via probability thresholds for keyword detection.

    C++aarch64androidarm32
    在 GitHub 上查看↗13,017
  • whatwg/htmlwhatwg 的头像

    whatwg/html

    9,163在 GitHub 上查看↗

    This repository contains the HTML specification, which defines the core standards for web page structuring, content organization, and document rendering. It establishes the fundamental algorithms for state-machine-based tokenization, tree construction for the document object model, and origin-based security isolation. The specification provides a framework for defining custom elements with independent lifecycles and registries. It also details the requirements for cross-document communication, session history management, and the synchronization of interface properties with content attributes.

    Identifies the type of a resource using sniffing heuristics to ensure consistent content handling.

    HTMLcanvaseventsourcehtml
    在 GitHub 上查看↗9,163
  • pymupdf/pymupdfpymupdf 的头像

    pymupdf/PyMuPDF

    9,086在 GitHub 上查看↗

    PyMuPDF is a comprehensive PDF manipulation library and document analysis tool. It serves as a text extraction tool, OCR engine, and image converter, providing a programmatic interface to edit, merge, split, and optimize PDF and Office documents. The project distinguishes itself through high-performance capabilities, including the use of C-bindings for low-level manipulation and parallelized page processing to accelerate workloads. It provides specialized conversion paths, such as transforming PDF content into Markdown for retrieval-augmented generation and large language model pipelines. It

    Identifies the actual document format using internal data heuristics regardless of the file extension.

    Pythondata-scienceepubextract-data
    在 GitHub 上查看↗9,086
  • kreuzberg-dev/kreuzbergkreuzberg-dev 的头像

    kreuzberg-dev/kreuzberg

    8,527在 GitHub 上查看↗

    Kreuzberg is a document extraction engine that converts PDFs, Office files, images, and over 90 other formats into clean, structured text and metadata. It is built around a compiled Rust core that can be used as a native library, a command-line tool, a REST API server, or a WebAssembly module for browser-based processing. The system is designed to run entirely on self-hosted infrastructure, with no data leaving the user's environment. What distinguishes Kreuzberg is its breadth of integration surfaces and its pipeline architecture. It exposes extraction capabilities through native bindings fo

    Returns every recognized file extension and its corresponding MIME type, sorted alphabetically by extension.

    Rustdocument-intelligenceelixirffi
    在 GitHub 上查看↗8,527
  • francescopace/espectrefrancescopace 的头像

    francescopace/espectre

    6,472在 GitHub 上查看↗

    Espectre is an edge machine learning framework and motion detection platform that uses Wi-Fi Channel State Information to identify human presence and movement. It functions as a sensing toolkit for ESP32 microcontrollers, enabling the detection of motion through walls without the use of cameras or wearables. The project distinguishes itself by executing compact neural network classifiers and mathematical detection algorithms directly on the microcontroller. It utilizes a MicroPython runtime to allow for the prototyping and deployment of sensing logic and wireless signal processing algorithms

    Adjusts hit thresholds and evaluation intervals to refine the sensitivity of motion detection.

    Pythoncsidiyesp-32
    在 GitHub 上查看↗6,472
  • pawelsalawa/sqlitestudiopawelsalawa 的头像

    pawelsalawa/sqlitestudio

    6,428在 GitHub 上查看↗

    SQLiteStudio is an open-source graphical tool for browsing, editing, and managing SQLite database files. It combines a full-featured SQL editor with syntax highlighting, a visual database schema designer for creating entity-relationship diagrams, and a plugin-based extensibility platform that allows adding custom functionality through C/C++, JavaScript, Tcl, or Python. The application distinguishes itself through its multi-language scripting engine, which embeds JavaScript, Tcl, and Python interpreters to enable user-defined functions and scripts within SQL queries. It supports encrypted data

    Lists the character sets available for import operations.

    Ccppdatabasedatabase-management
    在 GitHub 上查看↗6,428
  • github/markupgithub 的头像

    github/markup

    6,034在 GitHub 上查看↗

    Markup is a tool for converting various documentation formats and manual pages into structured HTML. It functions as a rendering engine selector and converter that transforms raw markup files into web-ready output using a pluggable pipeline. The system identifies the appropriate rendering engine by utilizing file extensions or analyzing document content through pattern-based language detection. This allows the pipeline to handle documents where file extensions are missing or ambiguous. The project covers a broad range of content transformation, including the conversion of traditional man pag

    Automates the identification of markup languages to apply the correct renderer during processing.

    Rubyreadme
    在 GitHub 上查看↗6,034
  • apache/hiveapache 的头像

    apache/hive

    6,012在 GitHub 上查看↗

    Apache Hive is a SQL-on-Hadoop data warehouse that enables querying and managing petabytes of data stored in distributed storage such as HDFS and cloud storage services. It provides a familiar SQL interface for batch analytics and reporting, supported by a core set of components including the HiveServer2 Thrift service for remote query execution, the Hive Metastore Service for central metadata management, the Hive ACID Transaction Engine for concurrent read-write operations, and the Hive LLAP Interactive Engine for low-latency analytical processing. The WebHCat REST API offers an HTTP interfac

    Provides a REST endpoint that lists supported response types for client compatibility.

    Javaapachebig-datadatabase
    在 GitHub 上查看↗6,012
  • kucherenko/jscpdkucherenko 的头像

    kucherenko/jscpd

    5,800在 GitHub 上查看↗

    jscpd is a code duplication detector that scans source code across 223 languages to find identical or near-identical copy-pasted blocks using a rolling hash algorithm. It is built with a Rust core for high performance, exposed through a Node.js API and CLI, and can be run as a standalone binary with no runtime dependencies. The tool detects duplicates in embedded languages within Vue, Svelte, Astro, and Markdown files by tokenizing each language block separately, and it supports extensionless scripts via shebang detection. The project distinguishes itself through its integration capabilities

    Outputs a complete catalogue of all 223 supported languages and formats.

    TypeScriptaiclones-detectioncode-quality
    在 GitHub 上查看↗5,800
  • loyalsoldier/geoipLoyalsoldier 的头像

    Loyalsoldier/geoip

    5,636在 GitHub 上查看↗

    Displays all available input and output data formats the tool can read from and write to.

    Goanticensorshipclashgeoip
    在 GitHub 上查看↗5,636
  • eatmoreapple/openwechateatmoreapple 的头像

    eatmoreapple/openwechat

    5,477在 GitHub 上查看↗

    OpenWeChat 是一个 Go 语言软件开发工具包(SDK)和 API 包装器,专为将微信消息和账户管理集成到 Go 应用中而设计。它作为机器人框架和消息库,用于处理实时聊天事件及与平台的程序化交互。 该项目提供了一套完整的会话管理系统,包括二维码身份验证和以 JSON 格式持久化会话 Cookie,以在重启后保持访问权限。它通过提供拦截并保留发送者试图撤回的消息的能力,以及对多账户会话管理的支持而脱颖而出。 该库涵盖了广泛的功能领域,包括自动化消息发送和回复逻辑、联系人与群组管理以及用户资料数据检索。它还包含媒体处理工具,例如下载共享文件并通过文件头分析识别内容类型。 该 SDK 实现了基于中间件的消息链式处理系统,并使用基于轮询的事件检测来同步传入数据。

    Analyzes file headers to automatically identify media formats such as images, videos, or documents.

    Gobotgogolang
    在 GitHub 上查看↗5,477
  • sindresorhus/file-typesindresorhus 的头像

    sindresorhus/file-type

    4,297在 GitHub 上查看↗

    file-type 是一个二进制文件类型检测器,通过分析二进制数据中的魔数 (magic numbers) 和签名字节来识别文件扩展名和 MIME 类型。它充当魔数解析器和 MIME 类型解析器,将二进制签名映射为标准化的媒体类型字符串。 该项目是一个可扩展的文件格式标识符,允许添加自定义检测插件以识别不常见或非二进制的文件格式。 该引擎支持跨各种数据源(包括缓冲区和数据流)进行二进制格式识别。它利用受支持的格式注册表,并提供异步操作取消机制。

    Provides a comprehensive registry listing all supported file extensions and MIME types.

    JavaScript
    在 GitHub 上查看↗4,297
  • richqaq/pastemdRICHQAQ 的头像

    RICHQAQ/PasteMD

    4,104在 GitHub 上查看↗

    PasteMD is a clipboard-based document processor and productivity tool designed to convert Markdown or HTML content into formatted office documents. It transforms markup and mathematical formulas from the clipboard into rich text for direct insertion into word processors and spreadsheets. The system functions as a style orchestrator, using reference documents and templates to apply specific fonts, colors, layouts, and margins to the converted text. This allows for the customization of output appearances to match specific document requirements. The tool handles technical document composition b

    Automatically identifies whether clipboard data is markdown, HTML, or file-based to determine the conversion path.

    Pythonaichatgptclipboard
    在 GitHub 上查看↗4,104
  • apache/tikaapache 的头像

    apache/tika

    3,572在 GitHub 上查看↗

    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

    Automates the identification of media types by analyzing byte patterns, filenames, and metadata.

    Javacontentextractionjava
    在 GitHub 上查看↗3,572
  • kepano/defuddlekepano 的头像

    kepano/defuddle

    3,189在 GitHub 上查看↗

    Defuddle is a command line web parser and content extractor designed to isolate the primary article body from web pages and convert the result into standardized markdown. It functions as a content cleaner that removes layout clutter, such as sidebars and headers, to retrieve the main text and associated metadata. The tool provides a terminal interface that processes content from remote URLs, local files, or piped HTML streams. It supports custom content targeting, allowing users to specify CSS selectors to manually define the main content area when automatic detection is insufficient. The sy

    Allows users to specify custom CSS selectors to manually define the main content area.

    TypeScript
    在 GitHub 上查看↗3,189
  • igorkasyanchuk/active_storage_validationsigorkasyanchuk 的头像

    igorkasyanchuk/active_storage_validations

    1,180在 GitHub 上查看↗

    Active Storage Validations 是一个 Ruby on Rails 库,为文件附件提供模型级别的验证助手。它直接集成到标准验证生命周期中,以确保上传的内容在持久化到存储之前符合定义的业务要求。 该框架强制执行关于文件大小、内容类型、尺寸和附件数量的约束。它包含安全机制,通过检查文件的二进制签名来检测并阻止内容类型欺骗,以验证其真实格式是否与声明的扩展名匹配。 除了基本验证,该库还通过强制执行特定的宽高比和尺寸来支持媒体资产质量控制。它还提供测试匹配器,以验证这些约束在开发工作流中是否配置正确。

    Analyzes binary signatures to verify that the actual file format matches the declared extension, preventing spoofing.

    Rubyactive-storageactivestoragerails
    在 GitHub 上查看↗1,180
  1. Home
  2. Data & Databases
  3. Content Type Detection

探索子标签

  • Binary Signature VerificationAnalyzes file binary signatures to verify that the actual format matches the declared extension. **Distinct from Content Type Detection:** Focuses on security-oriented binary signature verification rather than general format identification.
  • Detection Pipeline Configurations1 个子标签Configuration of the sequence and priority of detectors used to identify content types. **Distinct from Content Type Detection:** Focuses on the logic sequence of detection rather than the identification layer itself.
  • Sensitivity Tuning1 个子标签Adjustment of detection thresholds to optimize the balance between precision and recall for specific formats. **Distinct from Content Type Detection:** Focuses on the tuning of a deep learning classifier's sensitivity rather than defining custom pattern-based rules.
  • Supported Format Listings1 个子标签Utilities that enumerate all content type labels the system is capable of identifying. **Distinct from Content Type Detection:** Focuses on the enumeration of supported labels rather than the active detection of a file's type.