---
id: pyobjc-framework-datadetection
version: "12.2.2"
license: MIT
license_treatment: permissive
maintenance: active
---

# pyobjc-framework-DataDetection — Wrappers for the framework DataDetection on macOS

License: permissive · Maintenance: active · Downloads: 648.0K/mo

## What it is and what it does

This package wraps Apple's macOS DataDetection framework for use in Python via PyObjC. DataDetection is a native macOS framework that recognizes and extracts structured data from unstructured text—dates, times, addresses, phone numbers, URLs, and similar patterns. The wrapper translates Objective-C framework calls into Python, letting you call DataDetection APIs directly from Python code.

It is a thin binding layer without its own documentation; you rely on Apple's DataDetection framework documentation and PyObjC's general translation guides to understand how to use it. The package is actively maintained, supports modern Python versions (3.10–3.15), and carries no known security vulnerabilities. It is macOS-only and requires the Cocoa framework bindings from PyObjC.

Use it for:

- Extract dates and times from user-provided text or documents on macOS applications
- Parse contact information (addresses, phone numbers) from unstructured input
- Identify and extract URLs and email addresses from text for automated processing
- Build macOS-native text analysis tools that leverage system-level data recognition

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides Python bindings to macOS's DataDetection framework, enabling detection and parsing of structured data like dates, addresses, and links from text.

Yes, if you are developing on macOS and need native data detection. The package is actively maintained, has low install friction, carries MIT licensing, and supports current Python versions. It is a straightforward wrapper to Apple's framework with no security issues. Install only if you are on macOS and need DataDetection capabilities; it is not portable to other platforms.

## Install

pip install pyobjc-framework-datadetection
uv add pyobjc-framework-datadetection
poetry add pyobjc-framework-datadetection

## Installing pyobjc-framework-DataDetection

Before you install: Low friction install with active maintenance. Released 3 days ago, last commit 2026-08-14, and supports current Python versions (3.10–3.15). Depends on pyobjc-core and pyobjc-framework-Cocoa, both standard PyObjC components.

License in practice: MIT license permits commercial and private use with minimal restrictions—suitable for most projects.

Quickstart:

pip install pyobjc-framework-datadetection

from DataDetection import DDScannerResult
# Use DataDetection framework APIs via PyObjC bindings

macOS only; requires macOS system with DataDetection framework available. Python 3.10 or later required.

Verify before relying:

- Specific DataDetection framework capabilities and API surface available in this wrapper version
- Whether wrapper includes all DataDetection classes and methods or a subset
- Performance characteristics when processing large text volumes

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 648.0K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

macos data detection python, parse dates addresses links text, pyobjc datadetection framework, natural language data extraction mac, cocoa datadetection bindings, macos-only, pyobjc-binding, text-extraction

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