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 An online version of this tool is live at [http://javl.github.io/image2cpp/](http://javl.github.io/image2cpp/)
 
 
-image2cpp is a simple tool to change images into byte arrays (or your array back into an image) for use with (monochrome) displays suchs as OLEDs, like those from Adafruit or Sparkfun. While searching for a way to generate these arrays, I mostly found links to a piece of Windows software. Both the flakey results and the hassle of having to boot a virtual machine just to convert an image lead to me writing this pure html + javascript solution.
+image2cpp is a simple tool to convert images into byte arrays (or your array back into an image) for use with (monochrome) displays suchs as OLEDs, like those from Adafruit or Sparkfun. While searching for a way to generate these arrays, I mostly found links to a piece of Windows software. Both the flakey results and the hassle of having to boot a virtual machine just to convert an image lead to me writing this pure html + javascript solution.
 
 Alternatively you can also enter a byte array as input to turn it back into an image. This might be useful for debugging, or when you want to write the byte array yourself. I don't know.
 
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     <main class="wrapper">
     <section class="section">
       <h1>image2cpp</h1>
-      <p><strong>image2cpp</strong> is a simple tool to change images into byte arrays (or arrays back into an images) for use with (monochrome) displays such as OLEDs on your Arduino or Raspberry Pi.<br>
+      <p><strong>image2cpp</strong> is a simple tool to convert images into byte arrays (or arrays back into an images) for use with (monochrome) displays such as OLEDs on your Arduino or Raspberry Pi.<br>
         It was originally made to work with the Adafruit OLED library (for which your can find an example sketch for Arduino <a href="https://github.com/javl/image2cpp/blob/master/oled_example/oled_example.ino" target="_blank">here</a>) but
         has been expanded by the community to be useful in all kind of (embedded) projects.</p>
       <p>More info (and credits) can be found in the <a href="https://github.com/javl/image2cpp" target="_blank">Github repository</a>. This is also where you can report any <a href="https://github.com/javl/image2cpp/issues" target="_blank">issues</a> you might come across.</p>