Explosion builds **developer tools** for AI, Machine Learning and Natural Language Processing.

### Project

- [spaCy](/content/_/project/spacy/index.html)
- [Prodigy](/content/_/project/prodigy/index.html)
- [Ellf](/content/_/project/ellf/index.html)
- [Thinc](/content/_/project/thinc/index.html)

### Topics

- [LLMs](/content/_/topic/llms/index.html)
- [NLP Strategy](/content/_/topic/strategy/index.html)
- [Annotation](/content/_/topic/annotation/index.html)
- [Biomedical](/content/_/topic/biomedical/index.html)
- [Finance](/content/_/topic/finance/index.html)
- [Media](/content/_/topic/media/index.html)
- [Legal](/content/_/topic/legal/index.html)
- [Humanities](/content/_/topic/humanities/index.html)
- [Computer Vision](/content/_/topic/computer-vision/index.html)

### Category

- [Blog](/content/_/category/blog/index.html)
- [Release](/content/site-root.html)
- [Universe](/content/_/category/universe/index.html)
- [Talk](/content/_/category/talk/index.html)
- [Interview](/content/_/category/interview/index.html)
- [Video](/content/_/category/video/index.html)
- [Paper](/content/_/category/paper/index.html)
- [Book](/content/_/category/book/index.html)

### Tasks

Select...Code GenerationCoreference ResolutionDependency ParsingDistillationEmbeddings & VectorsEntity LinkingEvaluationImage ClassificationImage SegmentationLayout AnalysisLemmatizationNamed Entity RecognitionObject DetectionOptical Character Recognition (OCR)Part-of-Speech TaggingPII AnonymizationQuestion AnsweringRelation ExtractionRetrieval-Augmented Generation (RAG)Rule-Based MatchingSpan CategorizationText ClassificationText GenerationTokenizationWeak Supervision

### Authors

Select...Adriane BoydÁkos KádárBasile DuraChung-Fan TsaiDamian RomeroDaniël de KokDuygu AltinokEdward SchmuhlHelena SteckmeisterIndia KerleInes MontaniKabir KhanLj MirandaMadeesh KannanMagdalena AniołMatthew HonnibalPaul O’Leary McCannPeter BaumgartnerPhilip VolletRaphael MitschRehan AhmedRichard HudsonRyan WesslenSofie Van LandeghemVictoria SlocumVincent D. WarmerdamVinit RavishankarWalter Henry

## [Introducing spaCy v3.6](/content/blog/spacy-v3-6/index.html)
[spaCy v3.6 introduces the span finder component and trained pipelines for Slovenian.](/content/blog/spacy-v3-6/index.html)

## [Introducing spaCy v3.2](/content/blog/spacy-v3-2/index.html)
[spaCy v3.2 features usability improvements for custom training and scoring, improved performance and support for floret, our new fastText word vectors algorithm.](/content/blog/spacy-v3-2/index.html)

## [Introducing spaCy v2.1](/content/blog/spacy-v2-1/index.html)
[Version 2.1 of the spaCy Natural Language Processing library includes a huge number of features, improvements and bug fixes. In this post, we highlight some of the things we're especially pleased with, and explain some of the most challenging parts of preparing this big release.](/content/blog/spacy-v2-1/index.html)

## [Introducing spaCy v3.5](/content/blog/spacy-v3-5/index.html)
[spaCy v3.5 introduces new CLI commands, fuzzy matching, improvements for entity linking and more.](/content/blog/spacy-v3-5/index.html)

## [Introducing spaCy v3.4](/content/blog/spacy-v3-4/index.html)
[spaCy v3.4 brings typing and speed improvements along with new vectors for English CNN pipelines and new trained pipelines for Croatian.](/content/blog/spacy-v3-4/index.html)

## [Introducing spaCy v3.3](/content/blog/spacy-v3-3/index.html)
[spaCy v3.3 improves the speed of core pipeline components, adds a new trainable lemmatizer, and introduces trained pipelines for Finnish, Korean and Swedish.](/content/blog/spacy-v3-3/index.html)

## [Introducing spaCy v3.0](/content/blog/spacy-v3/index.html)
[spaCy v3.0 is a huge release! It features new transformer-based pipelines that get spaCy's accuracy right up to the current state-of-the-art, and a new workflow system to help you take projects from prototype to production.](/content/blog/spacy-v3/index.html)

## [Introducing spaCy v2.3](/content/blog/spacy-v2-3/index.html)
[spaCy now speaks Chinese, Japanese, Danish, Polish and Romanian! Version 2.3 of the spaCy Natural Language Processing library adds models for five new languages.](/content/blog/spacy-v2-3/index.html)

## [Introducing spaCy v2.2](/content/blog/spacy-v2-2/index.html)
[Version 2.2 of the spaCy Natural Language Processing library is leaner, cleaner and even more user-friendly. In addition to new model packages and features for training, evaluation and serialization, we've made lots of bug fixes, improved debugging and error handling, and greatly reduced the size of the library on disk.](/content/blog/spacy-v2-2/index.html)