--- title: spaCy Reviews meta_title: 'spaCy Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 21 reviews by the users' company size, role or industry to find out how spaCy works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 21 scale: '5' date_modified: '2026-05-05' parent_category: name: Development url: https://www.g2.com/categories/development --- # spaCy Reviews **Vendor:** Explosion AI **Category:** [Component Libraries Software](https://www.g2.com/categories/component-libraries) **Average Rating:** 4.5/5.0 **Total Reviews:** 21 ## About spaCy Explosion AI is a digital studio specialising in Artificial Intelligence and Natural Language Processing. ## spaCy Reviews ### 1. Review for spaCy **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** September 08, 2023 **What do you like best about spaCy?** Spacy is basically used for Natural Language Processing(NLP) tasks in Machine Learning. We can optimise our tasks with this library in Python by using pre trained models of Part of Speech(PoS) tagging, Text Summarization and for Named Entity Recognition(NER) model. It also has the capabilities to do tokenization in which sentences can be divided into words and punctuation marks. All in all, It is a very useful library of python to use NLP tasks in multiple domains. **What do you dislike about spaCy?** Spacy's library context are somewhat difficult to learn and it may have steep learning curve as the current functions have some much dependency on the previous functions used. Even for custom model training, it is very complex task which may require labeled and annotated data for processing. **What problems is spaCy solving and how is that benefiting you?** As a dats scientist, I build my NLP models with Spacy library in Python which requires tokenization(splitting of words) , Text PreProcessing, Model Building,Model validating and testing. This all processes are covered with Spacy and some other extensive libraries clubbed together. ### 2. An open, well documented system with a clear architecture **Rating:** 4.5/5.0 stars **Reviewed by:** Giovanni T. | Owner, Small-Business (50 or fewer emp.) **Reviewed Date:** October 08, 2023 **What do you like best about spaCy?** spaCy supports well, in a modular way, all low levels of text analysis, making easy to add support for new languages. **What do you dislike about spaCy?** NER functionality, which understandably is of poor quality, should be kept off the main pipeline. **What problems is spaCy solving and how is that benefiting you?** It provides me with basic support in implementing higher level text analysis functions, for an educational platform addressing multiple languages. ### 3. spaCy for NLP **Rating:** 4.5/5.0 stars **Reviewed by:** Chaitra L. | Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** July 23, 2022 **What do you like best about spaCy?** SpaCy continues to be open source and publicly accessible even with the most modern algorithms. Modern named entity recognition performs flawlessly and tags words into their correct parts of speech quickly and accurately. Over twenty languages can be used with its extensive library. **What do you dislike about spaCy?** Setting up SpaCy may present some challenges if you are unfamiliar with Python. This may restrict some of your options. However, that small limitation of personalization shouldn't bother someone who is sincerely interested in research or teaching tools. **What problems is spaCy solving and how is that benefiting you?** It does quick text extraction and enables us to create our own enterprise solution and manage original NLP techniques across a diverse range of languages. It can finally provide you with the resources you need to train your program human language with all of its richness and depth. It is a powerhouse for every deep learning algorithm you could possibly require. ### 4. Great tool for Natural language processing **Rating:** 4.5/5.0 stars **Reviewed by:** Nishit C. | Senior Software engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 09, 2022 **What do you like best about spaCy?** 1. Information extraction related to Locations, Names, Nouns, Verbs, etc. from the English text. 2. Pre-trained model which helps in building faster and smoother. **What do you dislike about spaCy?** 1. Support for languages other than English is not that great. 2. Need to be tech-savvy to extract/perform more complex operations. 3. Good Hardware requirement. **What problems is spaCy solving and how is that benefiting you?** 1. Extracting information from the text and automating the process is the major utility of Spacy. 2. Doing NLP on customer queries and building bot help reduce the cost/time of employee ### 5. Spacy is just every thing I need to create NLP based features. **Rating:** 5.0/5.0 stars **Reviewed by:** Samar S. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** December 29, 2021 **What do you like best about spaCy?** Ease of usage is one the most liked things about Spacy. I have been using Spacy for about 2 years as a backend for my data science software & processing natural language queries. The community support is fantastic. **What do you dislike about spaCy?** Spacy used to lack transformers pipelines but with version 3.0+, this has been added & as a result it diminishes the things I dislike about spacy. **What problems is spaCy solving and how is that benefiting you?** I have been using Spacy to support my data science apps in order to process natural language more efficiently. As a result, this brings down the cost of human intervention very low. ### 6. Spacy offers large resources for NLP problems **Rating:** 4.5/5.0 stars **Reviewed by:** Shahid H. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** December 02, 2020 **What do you like best about spaCy?** I like the sentence parser and the quality of sentences I generates. I like the object based approach so it is very easy for making a flow. SpaCy also solve many problems with its trained models that other libraries can't. **What do you dislike about spaCy?** Sentence parser is slow and it can be improved. **What problems is spaCy solving and how is that benefiting you?** I am using spaCy for relation extraction, sentiment analysis, Stemming and nearly all NLP problems. ### 7. Spacy gives you wings ! **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** May 05, 2019 **What do you like best about spaCy?** While Stanford NLP library is good to start with for tackling NLP problems, Spacy gives a nudge to your projects with advanced capabilities which otherwise are too tricky and difficult to master. Spacy exposes methods and APIs which abstracts out all the complexities like Training for custom Named Entities. Or extracting phrases from text. Spacy has proved for us to be very fruitful. To add to that, its blazingly fast when compared to other libraries. **What do you dislike about spaCy?** Sometimes taking away complexities from the problem makes the problem less interesting. Just kidding. It has been an amazing experience till now. **Recommendations to others considering spaCy:** Give it a shot for Custom NER. Its open source. **What problems is spaCy solving and how is that benefiting you?** NLP for entity extraction ### 8. The best NLP library for Python **Rating:** 4.5/5.0 stars **Reviewed by:** Alpesh S. | Project Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** July 26, 2018 **What do you like best about spaCy?** - The very first thing I would like to mention in the best things about spaCy, it's open source. - This library provides a huge collection of various categories of NLP algorithms which are industry ready which can be trusted and directly brought into picture. - spaCy supports over 28 languages and handles them very efficiently. **What do you dislike about spaCy?** No dislikes for spaCy as I have been using it for a long time and for different purposes. Still have never faced any significant problem. **Recommendations to others considering spaCy:** I cam across to this very good tutorial on spaCy which also teaches some basics of NLP. If you are new to both NLP and spaCy I highly recommend to follow this tutorial, it will a good boost to your journey. https://nlpforhackers.io/complete-guide-to-spacy/ **What problems is spaCy solving and how is that benefiting you?** We ML Hub are a new generation organisation looking forward to deal with real world problems using the latest technologies in market. NLP holds a good place in this trend and we get many projects on it. To approach any task related to NLP we depend on spaCy as it provides a huge collection of algorithms and also supports variety of languages. ### 9. Fast, easy-to-use **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** May 31, 2019 **What do you like best about spaCy?** All the functions of the library give near to SOTA performance. And yet, it gives very performance. The API is very easy to use. **What do you dislike about spaCy?** The documentation can use some more examples. Also, it's a little inconvenient to use it in tandem with other nlp libraries. It also takes some work to integrate it into a pipeline. **What problems is spaCy solving and how is that benefiting you?** I have used spaCy for many NLP projects. It's fast and decent performance is very helpful. ### 10. Natural Language Processing with spaCy **Rating:** 4.5/5.0 stars **Reviewed by:** Shilpa M. | Product Manager, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2018 **What do you like best about spaCy?** The best thing about spaCy is that it is open-source still gives industry-ready state-of-art algorithms. Also their documentation is sound enough to let a learner independently understand the whole library with any experts advice. Even they provide tons of examples for a newbie to practice. **What do you dislike about spaCy?** I have been using this library form a long time and I am truly satisfied by it. Have never faced any crucial issues, yes but I had some minor errors which I was easily able to solve using the public forums. **Recommendations to others considering spaCy:** spaCy has a good detailed documentation which will help you all the way but still you may need some easy extra help so I suggest you to go through this simple tutorial by analyticsvidhva.com : https://www.analyticsvidhya.com/blog/2017/04/natural-language-processing-made-easy-using-spacy-%E2%80%8Bin-python/ , this will really boos your learning rate. **What problems is spaCy solving and how is that benefiting you?** We at TechDynasty use spaCy to carry out Natural Language Processing and create algorithms over it to meet the needs of our customers and serve them the solutions. ### 11. Natural Language Processing API **Rating:** 4.5/5.0 stars **Reviewed by:** Bhuvan P. | Software Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** May 12, 2018 **What do you like best about spaCy?** spaCy is a open source library for python which supports over 28 languages and equally efficient for all of them.It provides all the NLP algorithms that one would need to build his/her own NLP model and the best thing is the API is so simple and consistent that one can easily build a model within no time. **What do you dislike about spaCy?** spaCy is one of the best NLP libraries and it provides bunch of optimized NLP algorithms which I have been using from a long time. I have no issues with spaCy. **Recommendations to others considering spaCy:** Simple to use with easily understandable API. Go for it, everything is great. Follow the documentation and you are done! **What problems is spaCy solving and how is that benefiting you?** As a ML and DL startup where we interest in building ML and DL models which works closely with NLP. We use spaCy to build NLP models that support the ML and DL applications we develop for our clients. ### 12. For Basic Users Only **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** July 24, 2018 **What do you like best about spaCy?** It is good for generic uses and data management, but lacks on deeper analysis and does not allow for much collaboration or inter-organization communication **What do you dislike about spaCy?** I dislike its user interface, it needs to be updated with something that is more intuitive and user-friendly **Recommendations to others considering spaCy:** Invest a lot of time in the software as it takes many hours to become comfortable **What problems is spaCy solving and how is that benefiting you?** Our organization has used spaCy on many projects in our insurance industry. We have realized the benefit of having it installed on everyone's computer to manage version control and compatibility. ### 13. Boost NLP with spaCy **Rating:** 4.5/5.0 stars **Reviewed by:** Riya S. | Software Developer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** June 09, 2018 **What do you like best about spaCy?** This library is really good. It has implementation of all state of art algorithms used in NLP and pretty much optimised too. The documentation is excellent, has detailed information on everything with sufficient examples. **What do you dislike about spaCy?** Happy with the overall experience, nothing about spaCy has disappointed me. No dislikes! **Recommendations to others considering spaCy:** The documentation is well maintained and frequently updated. So when you face some error try to explore the documentation first, it will solve 90% of your problem. **What problems is spaCy solving and how is that benefiting you?** We have clients from different parts of the world who want us to work on different languages so we use spaCy as it supports 20+ languages. ### 14. Industry Ready NLP library **Rating:** 4.5/5.0 stars **Reviewed by:** Tushar D. | Senior Software Engineer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** May 06, 2018 **What do you like best about spaCy?** The best thing I like is the the pretrained word vectors they provide. It is really a great thing as it reduces the time of a whole NLP based implentation by eliminating this time taking word vector formation task. **What do you dislike about spaCy?** It has been the only thing I depend on for NLP tasks, I have no issues with this great library. **Recommendations to others considering spaCy:** The have a very good documentation, I personally prefer to go for it instead of any tutorials online. Go through all of it, you will for sure find all the solutions of your queries. **What problems is spaCy solving and how is that benefiting you?** Creating Industry level NLP based algorithms that are used for many different tasks in our organization. ### 15. What a wonderful program! **Rating:** 4.5/5.0 stars **Reviewed by:** Nicolet F. | Tutor, Hospital & Health Care, Enterprise (> 1000 emp.) **Reviewed Date:** July 26, 2018 **What do you like best about spaCy?** I loved how easy it was to work the interface. SpaCy is the coolest open-source software library I've used! **What do you dislike about spaCy?** I disliked the fact that it took me a while to figure out how to change the font size so that I could see everything a bit better **Recommendations to others considering spaCy:** Honeslty, a go-to product! **What problems is spaCy solving and how is that benefiting you?** SpaCy makes advanced NLP languages like Python and Cython easy to work with, which solves my business issue of collaborating between coders. ### 16. NLP made easy **Rating:** 5.0/5.0 stars **Reviewed by:** Mohit S. | SoftwaCre Engineer, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** June 07, 2018 **What do you like best about spaCy?** It is a open source project even though they provide state of art NLP algorithms which are well optimised and works for many different languages. Also the maintenance of the documentation is very good, in fact one of the best I have ever seen. **What do you dislike about spaCy?** Nothing to dislike as it the only NLP library I prefer. **Recommendations to others considering spaCy:** Just check out the documentation for any sort of problem. They have mentioned everything in detail. I personally have always found a solution for errors or anything only from the documentation. **What problems is spaCy solving and how is that benefiting you?** Building NLP projects as per the requirement of clients. ### 17. NLP for Industries **Rating:** 5.0/5.0 stars **Reviewed by:** Prabhash T. | Project Manager, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** May 06, 2018 **What do you like best about spaCy?** It provide a wide range of functionalities like stemming, part of speech tagging, tokenizing, e.t.c on the go by just using a one line API call. The best functionality I personally like the best is Named Entity Recognition. Works like a charm! **What do you dislike about spaCy?** No dislikes for a opensource an such a helpful library. **Recommendations to others considering spaCy:** Do try the named entity recognition API, I am personally amazed by it and gives great results for me. **What problems is spaCy solving and how is that benefiting you?** Developing NLP models for different purposes in our organization like for example, we have built a sentiment analyzer for the reviews we receive from our customers. ### 18. Easy to use with so much information **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Real Estate | Mid-Market (51-1000 emp.) **Reviewed Date:** July 25, 2018 **What do you like best about spaCy?** I like that it is easy to use and install. It's very effective with importing code, easily integrations deep learning and it supports so many languages. **What do you dislike about spaCy?** It can be a little complicated to use when you get into packaging models and deployment. **What problems is spaCy solving and how is that benefiting you?** Easy to use industrial natural language processing. It reduces the number of tools we use by having an all in one system for our needs. ### 19. Spacy nlp **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Accounting | Enterprise (> 1000 emp.) **Reviewed Date:** July 26, 2018 **What do you like best about spaCy?** Its a very handy library when you want to prepare data for deep learning purposes. Integrates very well with python and is useful in NLP tasks such as POS tagging **What do you dislike about spaCy?** The very idea of not having a web interface **What problems is spaCy solving and how is that benefiting you?** Currently, in the learning phase and using it to solve NLP related tasks in financial services ### 20. Easy to use **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Legal Services | Small-Business (50 or fewer emp.) **Reviewed Date:** July 25, 2018 **What do you like best about spaCy?** The ease of use of the library encourages people to try it out **What do you dislike about spaCy?** There is not a lot of customization options that are offered **What problems is spaCy solving and how is that benefiting you?** Performing NLP on a given set of documents. ### 21. Fast and Accurate Analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** June 26, 2018 **What do you like best about spaCy?** It provides fast and accurate analysis. It allows named entity recognition. **What do you dislike about spaCy?** It is in English language only and doesn't support other languages. **Recommendations to others considering spaCy:** Very fast and accurate. Extremely powerful **What problems is spaCy solving and how is that benefiting you?** We use it for processing large amount of text - [View spaCy pricing details and edition comparison](https://www.g2.com/products/explosion-ai-spacy/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-26+20%3A43%3A41+-0500&secure%5Bsession_id%5D=e2616284-3f87-4c92-b6a5-ac3005f0a206&secure%5Btoken%5D=ff5ab71e2fef7b7f8eaca9b2519ac4caf3067f66ec7d4dbe9fa58ef0618cc331&format=llm_user) ## spaCy Features **Functionality** - Language Contingency - Component Library - Unlocked Components **Management** - Framework Integration - Repository Management - Support ## Top spaCy Alternatives - [Essential Studio](https://www.g2.com/products/essential-studio/reviews) - 4.5/5.0 (726 reviews) - [Progress Kendo UI](https://www.g2.com/products/progress-kendo-ui/reviews) - 4.4/5.0 (250 reviews) - [Progress Telerik](https://www.g2.com/products/progress-telerik/reviews) - 4.5/5.0 (209 reviews)