# How do I access and modify the "text" value associated with my image annotations?

**URL:** <https://community.labelstud.io/t/how-do-i-access-and-modify-the-text-value-associated-with-my-image-annotations/470>\
**Category:** Label Studio Support\
**Tags:** text, annotations\
**Created:** [January 22, 2025, 2:06am UTC](https://community.labelstud.io/t/how-do-i-access-and-modify-the-text-value-associated-with-my-image-annotations/470 "2025-01-22T02:06:00Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![KeyboardWizard](https://avatars.discourse-cdn.com/v4/letter/k/3d9bf3/32.png) [@KeyboardWizard](https://community.labelstud.io/u/KeyboardWizard)\
**Post date:** [January 22, 2025, 2:06am UTC](https://community.labelstud.io/t/how-do-i-access-and-modify-the-text-value-associated-with-my-image-annotations/470/1 "2025-01-22T02:06:01Z")

</div>

Hello, everyone. I am still learning Label Studio and have a challenge getting pre-detected OCR text to properly appear in the Label Studio UI.

I’m trying to use label studio to annotate document images. Before I load up the images I run an OCR scan and use its results to automate some of the annotations.

I’m trying to include the actual text the OCR read in the data, so I add it as part of the JSON object I send like this:  
{  
“id”: f"ocr-{i}",  
“type”: “labels”,  
“value”: {  
“x”: x\_min,  
“y”: y\_min,  
“width”: width,  
“height”: height,  
“text”: text  
},  
“to\_name”: “image”,  
“from\_name”: “label”,  
“labels”: [“Text”]  
}

It seems to be partially working, because all of the boxes from the OCR read is represented on the images in the UI in label studio, and I can see that the x, y, width, and height values exist. That being said I can’t find where i can view the “text”: text part in the UI and I need that in order to correct some of the text boxes drawn by the OCR read. I also need that data to exist when I pass it all to train a model eventually.

I can see the UI has a “meta” value, but I don’t think that’s relevant here?

Hopefully somebody can help me out. Thank you so much!