# Annotations

Add annotations to your data to make analysis and collaboration easier. Annotations added to a dataset are visible across all projects and can be viewed by every user in your workspace. To get started, hover over a plot, place your cursor at the desired timestamp, and create a new annotation. The screenshot below shows the process.

<figure><img src="https://3590686807-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwEBNWlmdcxXBXd7oyqyR%2Fuploads%2Fhx7edHLxnsrZjbyeNLLZ%2Fannotations.png?alt=media&#x26;token=427d32d2-3398-4a4c-8c37-57add0b20310" alt="Annotations on a time series plot"><figcaption></figcaption></figure>

## Automatic generation of annotations

Annotations can be generated directly from recorded audio files (`.wav`, `.mp3`, `.m4a`, ...) by using a speech decoding tool (e.g. [Whisper](https://github.com/openai/whisper)) in combination with [Marple's SDK](https://docs.marpledata.com/docs/sdk/overview).

Read more:

* Our blog post ["Automatic Extraction of Radio Comms Using Agentic Coding"](https://www.marpledata.com/resources/automatic-extraction-of-radio-comms-to-marple-using-agentic-coding)
* [agentic-coding](https://docs.marpledata.com/docs/sdk/agentic-coding "mention")