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spaCy

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Free open-source Python library for industrial-strength natural language processing

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  • Deployment Cloud Based, On Premises
  • Starting price Free
  • Free trial Not offered
  • Best for Freelancers, Startups, SMEs

What is spaCy?

spaCy is a free, open-source Python library for natural language processing, built by the company Explosion. It provides tokenization, part-of-speech tagging, dependency parsing, named entity recognition, lemmatization, and rule-based matching, along with more than 80 pretrained pipelines covering 24+ languages, including CNN-based and transformer-based models. It supports GPU acceleration, custom pipeline training, and visualizations through its displaCy tool.

spaCy is released under the MIT license, meaning it is free for personal, academic, and commercial use with no feature restrictions. Explosion, the company behind spaCy, generates revenue through separate paid products such as Prodigy, a commercial annotation tool, plus enterprise deployment and consulting services, but the spaCy library itself carries no license fee.

Key Features of spaCy

spaCy lists 8 documented features, including Tokenization and linguistic feature extraction, Named entity recognition (NER) with custom training support and Part-of-speech tagging and dependency parsing. The list below covers what the product does rather than how it is marketed.

  • Tokenization and linguistic feature extraction
  • Named entity recognition (NER) with custom training support
  • Part-of-speech tagging and dependency parsing
  • Lemmatization and rule-based pattern matching
  • 80+ pretrained pipelines across 24+ languages
  • Transformer-based and CNN-based model architectures
  • GPU acceleration including Apple M1 optimization
  • displaCy visualizations for entities and dependencies

spaCy Pricing

spaCy lists one plan, at Free.

Open Source

Free

Unlimited

MIT licensed; free for personal, academic, and commercial use with no feature restrictions

spaCy Specifications

spaCy is available on Windows and macOS. It offers an API and has a free plan.

Deployment
  • Cloud Based
  • On Premises
Billing cycle
Monthly
Desktop
  • Windows
  • macOS
Languages
  • English
Built for
  • Freelancers
  • Startups
  • SMEs
  • Agencies
  • Enterprises
Support
  • Email
  • Training
Integrations
Hugging Face Transformers, Prodigy, Thinc, PyTorch, TensorFlow, scikit-learn
Public API
Yes
Free trial
No
Free plan
Yes
Runs in browser
No
Customisable
Yes
Website
spacy.io

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spaCy FAQs

Yes, spaCy is MIT licensed and free for personal, academic, and commercial use with no fees or feature gates.

Explosion, a software company founded by Matthew Honnibal and Ines Montani.

It ships 80+ pretrained pipelines covering 24+ languages, with tokenization support for many more.

Yes, since spaCy v3 it supports transformer-based pipelines alongside its original CNN-based models.

Yes, Prodigy is a separate commercial annotation tool, and Explosion offers enterprise deployment and consulting, but spaCy itself remains free.