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2026-08-18 11:17:51 +02:00
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<main class="wrapper"> <main class="wrapper">
<section class="section step first-step" id="step-0"> <section class="section step first-step" id="step-0">
<p><strong>image2cpp</strong> is a simple tool to convert images into byte arrays (and vice versa) for use with (monochrome) displays such as OLEDs on your Arduino or Raspberry Pi.<br> <section class="input-methods-row">
It was originally made to work with the Adafruit OLED library (for which your can find an example Arduino sketch <a href="https://github.com/javl/image2cpp/blob/master/oled_example/oled_example.ino" target="_blank">here</a>) but <div class="column-left">
has been expanded by the community to be useful in all kind of (embedded) projects.</p> <p><strong>image2cpp</strong> is a simple tool to convert images into byte arrays (and vice versa) for use with (monochrome) displays such as OLEDs on your Arduino or Raspberry Pi.<br>
<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> It was originally made to work with the Adafruit OLED library (for which your can find an example Arduino sketch <a href="https://github.com/javl/image2cpp/blob/master/oled_example/oled_example.ino" target="_blank">here</a>) but
<p class="sp-block"> has been expanded by the community to be useful in all kind of (embedded) projects.</p>
Did you find this tool useful? Feel free to support my open source software on Github, especially if used commercially. </div>
</p> <div class="column-right">
<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>
<a href="https://github.com/sponsors/javl"><img src="https://camo.githubusercontent.com/7fcc34127227d7a0293435c20a74bce4bf3eb26d86f6c5000aa620da147223dd/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5f2d73706f6e736f725f6f6e5f4769746875622d626c75653f6c6f676f3d676974687562" alt="GitHub Sponsor" data-canonical-src="https://img.shields.io/badge/_-sponsor_on_Github-blue?logo=github" style="max-width: 100%;"></a> <a href="https://www.buymeacoffee.com/javl" rel="nofollow"><img src="https://camo.githubusercontent.com/0eeabd01753f37f754419d1b3f1b9fd755b1653c23283c8c8b17b1fbb18191e4/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4275795f4d655f615f436f666665652d6f72616e67653f6c6f676f3d6275796d6561636f66666565" alt="BMC" data-canonical-src="https://img.shields.io/badge/Buy_Me_a_Coffee-orange?logo=buymeacoffee" style="max-width: 100%;"></a> <p class="sp-block">
</p> Did you find this tool useful? Feel free to support my open source software on Github, especially if used commercially.
</p>
<p>
<a href="https://github.com/sponsors/javl"><img src="https://camo.githubusercontent.com/7fcc34127227d7a0293435c20a74bce4bf3eb26d86f6c5000aa620da147223dd/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5f2d73706f6e736f725f6f6e5f4769746875622d626c75653f6c6f676f3d676974687562" alt="GitHub Sponsor" data-canonical-src="https://img.shields.io/badge/_-sponsor_on_Github-blue?logo=github" style="max-width: 100%;"></a> <a href="https://www.buymeacoffee.com/javl" rel="nofollow"><img src="https://camo.githubusercontent.com/0eeabd01753f37f754419d1b3f1b9fd755b1653c23283c8c8b17b1fbb18191e4/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4275795f4d655f615f436f666665652d6f72616e67653f6c6f676f3d6275796d6561636f66666565" alt="BMC" data-canonical-src="https://img.shields.io/badge/Buy_Me_a_Coffee-orange?logo=buymeacoffee" style="max-width: 100%;"></a>
</p>
</div>
</section>
</section> </section>
<section class="section step bottom-divider" id="step-1"> <section class="section step bottom-divider" id="step-1">