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View Data Uri (TXT) Files Online

Use this free tool to view your Data Uri (TXT) (Data URI Scheme) files online without needing to download or install any software. Our Data Uri (TXT) viewer tool will render your file within the browser with the ability to view full screen if needed.

How to View your Data Uri (TXT) File Online?

Here are 2 simple steps to display your Data Uri (TXT) file in any web browser.

Upload an Data Uri (TXT)

Click the "Upload a File" button and select an Data Uri (TXT) to upload. The maximum file size is 100MB.

View your Data Uri (TXT)

Once processed your Data Uri (TXT) file will be displayed in the web browser.


How can I view my TXT file online?

First, click the "Upload..." button and select the TXT file you wish to view. Once your TXT file has been received it will be displayed in your browser.

How long does it take to view my TXT file?

We aim to process all TXT file viewing requests as quickly as possible, this usually takes around 5 seconds but can be more for larger or more complex files so please be patient.

How accurate is the TXT file viewer?

We aim to create the most accurate rendition of your TXT file with our tools. Our tools are under constant development with new features and improvements being added every week.

Is it safe to view my TXT file on ImageToStl.com?

Yes, of course! We do not store the TXT file you submit. The generated preview file within your browser is deleted after 15 minutes,

Can I view my TXT file on Windows, Linux, Android, iOS or Mac OS?

Yes! Our TXT file viewer will run on any system with a modern web browser. No specialist software is needed to use our file viewing tools.

File format information for Data Uri (TXT)

Full NameData URI Scheme
Mime Typetext/plain
ToolsTXT Converters, View TXT


The Data Uri TXT file format is a method of embedding external webpage resouces such as images directly into the HTML markup. The benefit of embedding external resouces reduces HTTP requests for a webpage thus reducing the overall load time.

Data is encoded using the Base64 method of encoding binary data as text using ASCII characters. Due to the encoding method the resulting file size will be around 33% larger than the binary equivalent so there is a trade-off between the number HTTP requests and the increase in request size.

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