> For the complete documentation index, see [llms.txt](https://docs.katara.ai/about/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.katara.ai/about/classifiers.md).

# Classifiers

- [Classifiers](https://docs.katara.ai/about/classifiers/classifiers.md): Classifier agents tag documents by categories like Topic, Language, or Sentiment. They run on schedules, with configurable filters, thresholds, and report options.
- [Topic Classifier](https://docs.katara.ai/about/classifiers/classifiers/topic-classifier.md): The topic classifier tags data using topics from a taxonomy.
- [Flesch Reading Ease Classifier](https://docs.katara.ai/about/classifiers/classifiers/flesch-reading-ease-classifier.md): The Flesch Reading Ease Classifier rates how easy your data is to read using the Flesch formula.
- [Language Classifier](https://docs.katara.ai/about/classifiers/classifiers/language-classifier.md): The Language Classifier classifies your data based on what language it is.
- [Passive Voice Classifier](https://docs.katara.ai/about/classifiers/classifiers/passive-voice-classifier.md): The Passive Voice Classifier classifies your data based on the amount of passive voice it uses.
- [Sentiment Classifier](https://docs.katara.ai/about/classifiers/classifiers/sentiment-classifier.md): The Sentiment Classifier classifies data by sentiment: positive, neutral, or negative.
- [General LLM Classifier](https://docs.katara.ai/about/classifiers/classifiers/general-llm-classifier.md): The General LLM Classifier classifies your data into topics that you define.
- [Diátaxis Classifier](https://docs.katara.ai/about/classifiers/classifiers/diataxis-classifier.md): The Diátaxis Classifier classifies your documentation into the four categories of the Diátaxis framework: tutorials, how-to guides, reference material, and explanation.
- [Tone Classifier](https://docs.katara.ai/about/classifiers/classifiers/tone-classifier.md): The Tone Classifier classifies your data based on the writing tone used in each document.