> For the complete documentation index, see [llms.txt](https://learn.getvectorai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://learn.getvectorai.com/vector-ai-documentation/how-to-turn-data-into-vectors-code/how-to-turn-audio-into-vectors.md).

# How to turn audio into Vectors

**Assumed Knowledge**: Vectors\
**Target Audience**: Python developers, general developers\
**Reading Time:** 3 minutes

To help transform data into vectors, we open-sourced a library called **VectorHub** (you can explore the hub at hub.vctr.ai). For this, you will need to use Python, and you can run all of the below on Colab.

```
pip install vectorhub[encoders-audio-tfhub]
```

The following model reads in the audio file and then encodes it (turning it into a vector). 

```
from vectorhub.encoders.audio.tfhub import Vggish2Vec
model = Vggish2Vec()
sample = model.read('https://vecsearch-bucket.s3.us-east-2.amazonaws.com/voices/common_voice_en_2.wav')
model.encode(sample)
```

From this - you will have obtained a vector which can now be indexed and stored away for search.