spaCy: Industrial-strength NLP

spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products.

spaCy comes with pretrained pipelines and currently supports tokenization and training for 70+ languages. It features state-of-the-art speed and neural network models for tagging, parsing, named entity recognition, text classification and more, multi-task learning with pretrained transformers like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management. spaCy is commercial open-source software, released under the MIT license.

💫 Version 3.8 out now! Check out the release notes here.

📖 Documentation

Documentation
⭐️ spaCy 101	New to spaCy? Here's everything you need to know!
📚 Usage Guides	How to use spaCy and its features.
🚀 New in v3.0	New features, backwards incompatibilities and migration guide.
🪐 Project Templates	End-to-end workflows you can clone, modify and run.
🎛 API Reference	The detailed reference for spaCy's API.
⏩ GPU Processing	Use spaCy with CUDA-compatible GPU processing.
📦 Models	Download trained pipelines for spaCy.
🦙 Large Language Models	Integrate LLMs into spaCy pipelines.
🌌 Universe	Plugins, extensions, demos and books from the spaCy ecosystem.
⚙️ spaCy VS Code Extension	Additional tooling and features for working with spaCy's config files.
👩‍🏫 Online Course	Learn spaCy in this free and interactive online course.
📰 Blog	Read about current spaCy and Prodigy development, releases, talks and more from Explosion.
📺 Videos	Our YouTube channel with video tutorials, talks and more.
🔴 Live Stream	Join Matt as he works on spaCy and chat about NLP.
🛠 Changelog	Changes and version history.
💝 Contribute	How to contribute to the spaCy project and code base.
👕 Swag	Support us and our work with unique, custom-designed swag!
	Custom NLP consulting, implementation and strategic advice by spaCy’s core development team. Streamlined, production-ready, predictable and maintainable. Send us an email or take our 5-minute questionnaire, and well'be in touch! Learn more →

💬 Where to ask questions

The spaCy project is maintained by the spaCy team. Please understand that we won't be able to provide individual support via email. We also believe that help is much more valuable if it's shared publicly, so that more people can benefit from it.

Type	Platforms
🚨 Bug Reports	GitHub Issue Tracker
🎁 Feature Requests & Ideas	GitHub Discussions · Live Stream
👩‍💻 Usage Questions	GitHub Discussions · Stack Overflow
🗯 General Discussion	GitHub Discussions · Live Stream

Features

Support for 70+ languages
Trained pipelines for different languages and tasks
Multi-task learning with pretrained transformers like BERT
Support for pretrained word vectors and embeddings
State-of-the-art speed
Production-ready training system
Linguistically-motivated tokenization
Components for named entity recognition, part-of-speech-tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking and more
Easily extensible with custom components and attributes
Support for custom models in PyTorch, TensorFlow and other frameworks
Built in visualizers for syntax and NER
Easy model packaging, deployment and workflow management
Robust, rigorously evaluated accuracy

📖 For more details, see the facts, figures and benchmarks.

⏳ Install spaCy

For detailed installation instructions, see the documentation.

Operating system: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual Studio)
Python version: Python >=3.7, <3.13 (only 64 bit)
Package managers: pip · conda (via conda-forge)

pip

Using pip, spaCy releases are available as source packages and binary wheels. Before you install spaCy and its dependencies, make sure that your pip, setuptools and wheel are up to date.

pip install -U pip setuptools wheel
pip install spacy

To install additional data tables for lemmatization and normalization you can run pip install spacy[lookups] or install spacy-lookups-data separately. The lookups package is needed to create blank models with lemmatization data, and to lemmatize in languages that don't yet come with pretrained models and aren't powered by third-party libraries.

When using pip it is generally recommended to install packages in a virtual environment to avoid modifying system state:

python -m venv .env
source .env/bin/activate
pip install -U pip setuptools wheel
pip install spacy

conda

You can also install spaCy from conda via the conda-forge channel. For the feedstock including the build recipe and configuration, check out this repository.

conda install -c conda-forge spacy

Updating spaCy

Some updates to spaCy may require downloading new statistical models. If you're running spaCy v2.0 or higher, you can use the validate command to check if your installed models are compatible and if not, print details on how to update them:

pip install -U spacy
python -m spacy validate

If you've trained your own models, keep in mind that your training and runtime inputs must match. After updating spaCy, we recommend retraining your models with the new version.

📖 For details on upgrading from spaCy 2.x to spaCy 3.x, see the migration guide.

📦 Download model packages

Trained pipelines for spaCy can be installed as Python packages. This means that they're a component of your application, just like any other module. Models can be installed using spaCy's download command, or manually by pointing pip to a path or URL.

Documentation
Available Pipelines	Detailed pipeline descriptions, accuracy figures and benchmarks.
Models Documentation	Detailed usage and installation instructions.
Training	How to train your own pipelines on your data.

# Download best-matching version of specific model for your spaCy installation
python -m spacy download en_core_web_sm

# pip install .tar.gz archive or .whl from path or URL
pip install /Users/you/en_core_web_sm-3.0.0.tar.gz
pip install /Users/you/en_core_web_sm-3.0.0-py3-none-any.whl
pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz

Loading and using models

To load a model, use spacy.load() with the model name or a path to the model data directory.

import spacy
nlp = spacy.load("en_core_web_sm")
doc = nlp("This is a sentence.")

You can also import a model directly via its full name and then call its load() method with no arguments.

import spacy
import en_core_web_sm

nlp = en_core_web_sm.load()
doc = nlp("This is a sentence.")

📖 For more info and examples, check out the models documentation.

⚒ Compile from source

The other way to install spaCy is to clone its GitHub repository and build it from source. That is the common way if you want to make changes to the code base. You'll need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, virtualenv and git installed. The compiler part is the trickiest. How to do that depends on your system.

Platform
Ubuntu	Install system-level dependencies via `apt-get`: `sudo apt-get install build-essential python-dev git` .
Mac	Install a recent version of XCode, including the so-called "Command Line Tools". macOS and OS X ship with Python and git preinstalled.
Windows	Install a version of the Visual C++ Build Tools or Visual Studio Express that matches the version that was used to compile your Python interpreter.

For more details and instructions, see the documentation on compiling spaCy from source and the quickstart widget to get the right commands for your platform and Python version.

git clone https://github.com/explosion/spaCy
cd spaCy

python -m venv .env
source .env/bin/activate

# make sure you are using the latest pip
python -m pip install -U pip setuptools wheel

pip install -r requirements.txt
pip install --no-build-isolation --editable .

To install with extras:

pip install --no-build-isolation --editable .[lookups,cuda102]

🚦 Run tests

spaCy comes with an extensive test suite. In order to run the tests, you'll usually want to clone the repository and build spaCy from source. This will also install the required development dependencies and test utilities defined in the requirements.txt.

Alternatively, you can run pytest on the tests from within the installed spacy package. Don't forget to also install the test utilities via spaCy's requirements.txt:

pip install -r requirements.txt
python -m pytest --pyargs spacy

Download files

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Source Distributions

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Release history Release notifications | RSS feed

4.0.0.dev3 pre-release

Apr 22, 2024

4.0.0.dev2 yanked

Jan 25, 2024

Reason this release was yanked:

save space

4.0.0.dev1 yanked

Jun 23, 2023

Reason this release was yanked:

save space

This release

3.8.15

Aug 7, 2026

3.8.14

Mar 29, 2026

3.8.13

Mar 23, 2026

3.8.12 yanked

Mar 23, 2026

3.8.11

Nov 17, 2025

3.8.10

Nov 17, 2025

3.8.9

Nov 13, 2025

3.8.8

Nov 7, 2025

3.8.7

May 23, 2025

3.8.6

May 19, 2025

3.8.5 yanked

Apr 1, 2025

Reason this release was yanked:

Incorrect python3.13 support specified

3.8.4

Jan 14, 2025

3.8.3

Dec 11, 2024

3.8.2

Oct 1, 2024

3.8.1 yanked

Sep 14, 2024

Reason this release was yanked:

model compatibility problem

3.8.0 yanked

Sep 11, 2024

Reason this release was yanked:

model compatibility problem

3.7.6 yanked

Aug 20, 2024

Reason this release was yanked:

Incorrect compatibility for transformer models

3.7.5

Jun 5, 2024

3.7.4

Feb 15, 2024

3.7.3 yanked

Feb 6, 2024

Reason this release was yanked:

Bug in multiprocessing code

3.7.2

Oct 16, 2023

3.7.1

Oct 5, 2023

3.7.0

Oct 2, 2023

3.6.1

Aug 8, 2023

3.6.0

Jul 7, 2023

3.6.0.dev0 yanked

May 9, 2023

Reason this release was yanked:

save space

3.5.4

Jun 28, 2023

3.5.3

May 15, 2023

3.5.2

Apr 12, 2023

3.5.1

Mar 10, 2023

3.5.0

Jan 20, 2023

3.4.4

Dec 14, 2022

3.4.3

Nov 10, 2022

3.4.2

Oct 20, 2022

3.4.1

Jul 26, 2022

3.4.0

Jul 12, 2022

3.3.3

May 25, 2023

3.3.2

Dec 16, 2022

3.3.1

Jun 7, 2022

3.3.0

Apr 29, 2022

3.2.6

May 25, 2023

3.2.5

Dec 16, 2022

3.2.4

Mar 29, 2022

3.2.3

Mar 1, 2022

3.2.2

Feb 11, 2022

3.2.1

Dec 7, 2021

3.2.0

Nov 5, 2021

3.1.7

Dec 16, 2022

3.1.6

Mar 30, 2022

3.1.5

Mar 1, 2022

3.1.4

Oct 29, 2021

3.1.3

Sep 20, 2021

3.1.2

Aug 20, 2021

3.1.1

Jul 20, 2021

3.1.0

Jul 7, 2021

3.0.9

Dec 16, 2022

3.0.8

Mar 1, 2022

3.0.7

Jul 23, 2021

3.0.6

Apr 23, 2021

3.0.5

Mar 10, 2021

3.0.4

Mar 10, 2021

3.0.3

Feb 14, 2021

3.0.2

Feb 14, 2021

3.0.1

Feb 2, 2021

3.0.0

Feb 1, 2021

2.3.9

Dec 16, 2022

2.3.8

Oct 19, 2022

2.3.7

Jun 4, 2021

2.3.6

May 18, 2021

2.3.5

Dec 11, 2020

2.3.4

Nov 25, 2020

2.3.3

Nov 24, 2020

2.3.3.dev0 pre-release

Nov 23, 2020

2.3.2

Jul 13, 2020

2.3.1

Jul 7, 2020

2.3.0

Jun 16, 2020

2.3.0.dev1 pre-release

Jun 9, 2020

2.2.4

Mar 12, 2020

2.2.3

Nov 21, 2019

2.2.3.dev0 pre-release

Nov 21, 2019

2.2.2

Oct 31, 2019

2.2.2.dev4 pre-release

Oct 30, 2019

2.2.2.dev3 pre-release

Oct 29, 2019

2.2.2.dev0 pre-release

Oct 22, 2019

2.2.1

Oct 3, 2019

2.2.0

Oct 2, 2019

2.2.0.dev17 pre-release

Oct 1, 2019

2.2.0.dev15 pre-release

Sep 28, 2019

2.2.0.dev13 pre-release

Sep 28, 2019

2.2.0.dev11 pre-release

Sep 27, 2019

2.2.0.dev10 pre-release

Sep 27, 2019

2.1.9

Oct 28, 2019

2.1.8

Aug 8, 2019

2.1.7

Aug 1, 2019

2.1.7.dev0 pre-release

Jul 28, 2019

2.1.6

Jul 12, 2019

2.1.5

Jul 12, 2019

2.1.4

May 11, 2019

2.1.3

Mar 23, 2019

2.1.2

Mar 22, 2019

2.1.1

Mar 20, 2019

2.1.1.dev0 pre-release

Mar 19, 2019

2.1.0

Mar 18, 2019

2.0.18

Dec 1, 2018

2.0.18.dev1 pre-release

Dec 1, 2018

2.0.18.dev0 pre-release

Dec 1, 2018

2.0.17

Nov 26, 2018

2.0.17.dev1 pre-release

Oct 29, 2018

2.0.17.dev0 pre-release

Oct 28, 2018

2.0.16

Oct 15, 2018

2.0.16.dev0 pre-release

Oct 15, 2018

2.0.15

Oct 15, 2018

2.0.14.dev1 pre-release

Oct 14, 2018

2.0.14.dev0 pre-release

Oct 14, 2018

2.0.13

Oct 13, 2018

2.0.13.dev4 pre-release

Oct 13, 2018

2.0.13.dev2 pre-release

Aug 9, 2018

2.0.13.dev1 pre-release

Aug 9, 2018

2.0.13.dev0 pre-release

Aug 9, 2018

2.0.12

Jul 21, 2018

2.0.12.dev1 pre-release

Jul 21, 2018

2.0.12.dev0 pre-release

Apr 10, 2018

2.0.11

Apr 4, 2018

2.0.11.dev0 pre-release

Apr 4, 2018

2.0.10

Mar 24, 2018

2.0.10.dev0 pre-release

Mar 15, 2018

2.0.9

Feb 22, 2018

2.0.8

Feb 18, 2018

2.0.7

Feb 2, 2018

2.0.6

Feb 1, 2018

2.0.6.dev0 pre-release

Jan 29, 2018

2.0.5

Dec 7, 2017

2.0.5.dev0 pre-release

Dec 7, 2017

2.0.4

Dec 6, 2017

2.0.4.dev0 pre-release

Dec 6, 2017

2.0.3

Nov 15, 2017

2.0.3.dev0 pre-release

Nov 15, 2017

2.0.2

Nov 8, 2017

2.0.2.dev0 pre-release

Nov 8, 2017

2.0.1

Nov 8, 2017

2.0.1.dev0 pre-release

Nov 8, 2017

2.0.0

Nov 7, 2017

1.10.1

Mar 23, 2018

1.10.0

Nov 7, 2017

1.9.0

Jul 22, 2017

1.8.2

Apr 26, 2017

1.8.1

Apr 23, 2017

1.8.0

Apr 16, 2017

1.7.5

Apr 7, 2017

1.7.3

Mar 26, 2017

1.7.2

Mar 20, 2017

1.7.1

Mar 19, 2017

1.7.0

Mar 18, 2017

1.6.0

Jan 16, 2017

1.5.1

Jan 12, 2017

1.5.0

Dec 27, 2016

1.4.0

Dec 18, 2016

1.3.0

Dec 3, 2016

1.2.0

Nov 4, 2016

1.1.3

Nov 4, 2016

1.1.2

Oct 23, 2016

1.1.1

Oct 23, 2016

1.1.0

Oct 23, 2016

1.0.5

Oct 20, 2016

1.0.4

Oct 20, 2016

1.0.3

Oct 19, 2016

1.0.2

Oct 19, 2016

1.0.1

Oct 19, 2016

0.101.0

May 10, 2016

0.100.7

May 4, 2016

0.100.6

Mar 8, 2016

0.100.5

Feb 7, 2016

0.100.4

Feb 7, 2016

0.100.3

Feb 5, 2016

0.100.2

Jan 21, 2016

0.100.1

Jan 20, 2016

0.100.0

Jan 19, 2016

0.99

Nov 8, 2015

0.98

Nov 3, 2015

0.97

Oct 23, 2015

0.96

Oct 23, 2015

0.95

Oct 18, 2015

0.94

Oct 9, 2015

0.93

Sep 22, 2015

0.92

Sep 21, 2015

0.91

Sep 21, 2015

0.90

Sep 15, 2015

0.89

Jul 29, 2015

0.88

Jul 8, 2015

0.87

Jun 30, 2015

0.86

Jun 24, 2015

0.85

Jun 7, 2015

0.84

May 12, 2015

0.83

Apr 16, 2015

0.82

Apr 13, 2015

0.81

Apr 13, 2015

0.80

Apr 12, 2015

0.70

Mar 5, 2015

0.68

Feb 27, 2015

0.67

Feb 24, 2015

0.65

Feb 16, 2015

0.64

Feb 16, 2015

0.63

Feb 11, 2015

0.62

Feb 11, 2015

0.61

Feb 10, 2015

0.60

Feb 9, 2015

0.52

Feb 7, 2015

0.51

Feb 7, 2015

0.50

Feb 7, 2015

0.40

Feb 1, 2015

0.33

Jan 25, 2015

0.32

Jan 25, 2015

0.31

Jan 25, 2015

0.30

Jan 25, 2015

spacy 3.8.15

spaCy: Industrial-strength NLP

📖 Documentation

💬 Where to ask questions

Features

⏳ Install spaCy

pip

conda

Updating spaCy

📦 Download model packages

Loading and using models

⚒ Compile from source

🚦 Run tests

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3 maintainers

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