Augmenty: Augment text for spaCy NLP training

Understand the project

Practical overview

Use it when preparing NLP data or adding text variations to a spaCy workflow, especially when label handling matters to the training task.

Before you choose

The repository documents installation with pip and identifies the project as MIT-licensed open-source software.

The basic pip installation is minimal; some augmenters need additional packages.
Entity-based transformations depend on spaCy's entity detection and model-specific labels.
The repository specifies Python 3.8 or later.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install the library and follow the documented entity-replacement example to produce an augmented document.

Install the minimal package with the command below; use the command below if you need the documented additional dependencies.
Documented command
```
pip install augmenty
```
Documented command
```
pip install "augmenty[all]"
```
Load en_core_web_md with spaCy and process a sentence into a spaCy document.
Load ents_replace_v1 with an entity dictionary, then pass the document to augmenty.docs with the augmenter and NLP pipeline.

The example replaces the detected entity “Augmenty” with “spaCy Universe” in the processed sentence.

The example depends on spaCy detecting the entity; the repository cautions that detection is not 100% reliable and labels may vary by model.
Some augmenters require additional packages.

Evidence and transparency

Source record details

Source availability: Active
Sources checked: 15 October 2026
Original website title: KennethEnevoldsen/augmenty · Official homepage title · retained in its source language