Unlock the Power of Markdown in Aperture Data Studio

Did you know Aperture Data Studio supports Markdown? This lesser-known feature can transform how you present information, making your dashboards, workflows, and catalog entries more engaging and easier to read.

Markdown enables a wide range of formatting options, including:

  • Text formatting (headers, subheaders, bold, italic)
  • Lists (bulleted and numbered)
  • Tables for structured information
  • Clickable hyperlinks
  • Images (using Base64 encoding)

Where Can You Use Markdown in Data Studio?

Markdown is supported in a variety of areas across Data Studio including:

image.png image.png image.png image.png image.png image.png

Formatting Tips

You can find detailed tips and tricks on our documentation site here and here. (LLMs such as: Copilot/ChatGPT/Gemini/Claude are also very good at formtting text into markdown ready presentation code if you use these tools within your business).

That being the case, I do keep getting asked about images so I wanted to share a step-by-step on how to do this.

Adding Images with Markdown

  1. Prepare your image: Crop or resize it to an appropriate size before encoding
  2. Convert the image to Base64: Use a Base64 encoding tool (e.g. https://www.base64-image.de ) to generate the code.
  3. Paste the code into the supported area of the product, using the following syntax:

![IMAGE_LABEL](BASE64_CODE)

See below for an example that will render a festive favourite:

![ChristmasTree](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAb8AAAG/CAMAAAD/zSlAAAAA21BMVEX///8AAAA1qHKVVzr3sDA2q3Q3rnYQMSHu7u7CwsIogFe3t7eOjo7rQj9aNSMeXj8zoW2LUTabWz0vlWUxm2kriV0md1EHFg8GEgwfY0Pj4+Pa2toOLR8tj2H5+fkIGhIVQi0jbktfX18aUzg1NTUMJhrNzc0SOicYSzMKHxWrq6tzc3MjIyMDCgeXl5dSUlIXFxdISEjKkCd/f39IMw7qpy4ZEgWdcB93VRfWmSppaWliRhOOZRxUPBCseiE0JQolGgdiHBpMFRTROzioLy25hCSJJyW3MzFwIB7mQdu/AAAe/ElEQVR4nO2dC1eb2taGm3wuoth94DtcEjQYKKYh1mhrtVbtZd+6z/n/v+hAYpTFnMDiFiDMZ4wzxj41SSNvF6x3zdubNwRBEARBEARBEARBEARBEARBEIQoZ8fng8Hg/Pis6S9CFOHwcbDh3UnTX4XIz8n1YMs1Cdg5zt4OXnlLt9Cu8f48ot/5+6a/DpGPs6tBlCtagN3i/SWn3yUtwE7BPf3oCdg5Tlcx/VanTX8lIgefB3E+N/2VCHFOgHyDAXnA7vAB0e9D01+KEOUQkW8wOGz6axGCPKL6PTb9tQgxYt5vC3nALnB4evEJlW8w+HRxSpuYVnN4dPHhY4J6Iat3F0ckYUs5e3/1Ab9zcnfRx6sj2sm0j/dvH88zxdtw/u7tUdNfl4hyePVJVLznVfjpLR2otYTDq3zavSzDt/QobJzDo2LiPUt4RGGJRjl5ly7Q6ks8EBHjA63BBsmSb3B7f5vxikcSsDFiSRII3w6+Zb3kqunfor+cXmdo8/3u4O4p4zXXtBFtiqMMaZ7uDg6yBSQv2BTHabJ8ebo52HDz9CXthcdN/xq9JVG/L7dPP+4OXrn78XSbqCHp1xRH6Fn1l9uv9w8HcR5+fMUl/Ej3z6bA7MPPbz+geFsJv/2Eb6Dqlua4gAvw568E9UJ+Qf0+XjT9S/SYMyRR6fYmUb4bxMx/oBO0BjlDHODPxPsncve8JvmaBbPwuIAPyCs/Nf31CewIFBMQk++66S9PvDlDsgV/h8/Am9/hyx7p5tkCDrFNTHwFPmBbF8qDaQWYgF9j+n0l+drLIbyFxlzEDdx6PpJ8rQGxET84/X6An5NxaBVAwHtOv3sgX9NfmOCJ24h0/d41/XWJGIf8ClzF7p98GtM1PfvaRuwoNL5/4e0DHXq2jljNZoZ/oPXXNvhY/Jf7mH73fOyWYu5tg3/8/YwfoMUMIG0/W8YZf3982qh2F7L5z1gWGj0A28UFL094+7x7WKdL/Pz28AAdBEXd2wVfM/373cPN/feX/3t7/+vhgY8/UOCvVcR2n7/fx1M+v9/H4ke0A20TmYUQACp7aBNZdUgQOkFrEaf5izjPqWylPVxlVGkirOgG2h7whlnpUDut1vA+qeNSGp+onVZbuMhWC4EsfEs4hN12RfhMFrAdvC/Y/4VuoO0gtQw3BQoitYM0/dKMBenXDhL1Gy88y1uMSb92g5dRD5aKqUtM0k1liS9NKpxuB3gXponJ2DCEMXOCvYAKp9sCenzmDl9xseVH/q8tYGXUyjCKAl9AOYSt4RSen3lDHg+84hMFIFoC8vzzVcbJx1Sfnn8tBSn/W8TkCwTUF/AOSgdoLeAMnn4utbh8gYAadBGf6RHYPPFJjYFtl6F8gYAyNPJvm/7yBBI7MhH1QkxoMygI3zDH8OzFTZAPs4Ef6QytUZBRVVaifMOhBV5NQ62aBDN+aop+iI8nG9gcAsYvtochG9giEOM30tPkC23gCLyHbGBDQOM3s9PlCwS0Z+BdNJq6EaDxGxhZ8gUCGtBFkIANgBg/1LcDAWX4Rgol7Rxk9kOSb49jwrdSKH7HQOO3SjN+PC64hZIN3C2I8VNSjR+HSjawWTDjl+EcojCdbGCTIMZvmkO+UMAp+ATqJ7kzkHoHJOKXKqAGXcSHpn+tvlDM+MUENOCHUDRwJwgZP8YyFGUyXIFkA3cANH6TuPFjqhaSepQd2ECY1Us2sHZgsdjKijkHpllhrsvSSj8NVS2wAqmkrG7QiF8sV1DexhimqQdqTKWk0F2DGD8n5hyY8eoNpqn7GqY74NPIBtYJYvxm8acct6rSo/FMhTmFZANrBDF+cd/OjHnkp8v0kATT4QdSMKk2oPFbgS0K46MLbkY83oabULKBNQHrbGcyVMTNo99wKMN4POUU1gI0fmMk4pdv/QWYMC2bbGANCBi/jX5RVzcxM/UjG7gTBIzfRj8tWmi0yD7XJhu4CxDjB4vENnpEousrS+Bcm6mwtIxsYLUgxm+VeLz5Gpz1hcISbAg3oZQUWiVIjd8k+XRasjZbkokiicg3RMvjqTawQmB762XayZikKb7jK5qQfEyV51A+Ki2rEGj8ltD4cZpIAVkRwK16MBdmA9nAioA1fmNXPNksXWdDgf79GaoNrAbE+OXIFUxVz1bQW+czZAOr4BTOtk0vEhNF0r009QZkA6sAMX6jYXn5WGDb0a5oHGQDy4KMBl9WIJ+KZPBiUDSwHIjxm+dM9YRLb6gbYuoNyAaWBBq/ee5Uz7h6tgnTJpIhG1gCmOo5Ey0Sw8ULu7nC1PlUKCm0MMewSCy5uYvI0jMsJ7Gb8vpfh2uBTQ3ZwKIcwbkASrZKyUvPXWT4BV/HjkLJBhYDifj5RcVjqjnKmnE1M9YbW7i1IRtYBCzVs5B0gVlwYdeQOHN3a0soKbQKsOYueY9dAu10zbCyxRvMX4MVTKUWMeVBjN80l/FjTFJt2c06IlszU4xIsIJpcIdKNjAnMNUzI2QU0y5wea43St1sbll5cuxER4Zp2ZQUmgto/LBcQVw6STVcxR8lxoVi+Aa8LSM5hWQDcwCNX0pXz4hywS3T9RbTpfg4VV9DQ1EueOEl2UBhChk/W/R+GVVPT/o0xAZSVq8gyDhUL3hCMY7gGquqHqAZwZIT2aUAxoaUvCOipNCiYBE/LdBpgx1gBMim5fmLed4Vx+Gk7GipU2hBEOM3GDmOswgZTeezcf5h4YkCJudhkA0sSLFhtgVJyRBlNrwpU21gJkhzlxpZpdV3IqVlZAMzKDYKvDiLZPnQRpMUzk0FGedQL5O0AsFYLWgIRQPTQIxf3aTHNODACLKBySCpnlVy+/T16Tb+h/P0DgfQx1+TDUwAn2NbmXo/bu4O7m7u4wqmlgjSwAhxkFTPCnm6Odhw88T/IPkMbS0gdQoVBfHthZl7Hr/5v3042HLDr8BRepc0ZsNgEnUKRajKty99S9PVeHfBXwev/OB+gk8LjAhIAyNEKGv8Vqvx3FFk9flwO9ZG5PtDRL+H79zPsqZGUKdQAYoZv9VktpyPFo6vuIa6rtl8uegu98JvEfkO7r5yP8tuMQLnDZAN5IE1fhPfd8Lj6vlyNh5Ptoxny+V8OloEkvmep1iuKdsqQ4ptY/rdR/U7+JZTvyG1iEkHMX6KOtQ125Bl2eQI/sAwbF1/Vi2pT3La+suvHzIwgmzgK1iqZ5iUwhLJvOIx/Z7uos8/3kEI6EedQtM4g8ZvnmucA3bF+WHFX24i+t18if4oNQTxKiAMJj1STuEGKN+qbI1fsGnk/d/X1wUY276IFaRhAyMem75w7QBG/CaZYxgFrnesKdbLE/COf/oNHE3sA6lTKA5S4yeeqZtCPAHp6S5cgnexh1+OkiYknEs2EEn1FMzUzYAB07b6+uPXj6/wbxNe6zCrl5JCBbt6FgCZVIyxSD2+5qBOoQDRrp4FkGAGJ4JQh8lnqFNonEPo2xO6euaHaSK5obmMCtYp9LrPwSTEOVQlX3C1ka6QgOz+2LyAcBP6rr82EMo3K+vbo0gwchdnJNohdCugDjehvbWBSHMXO/nILO8JmsgddPayeRH+e5Gs3p7mFCIRP08WxRBaqGZ6EeBse3TGdEP4b0a2Rb20gUiNXw5mvsix5dBNu4XOt0aTyb5otSdKH20gNH45mYlsPVQzWcD59piHuaXUG/TRBlaQ6il2cmIntcta2Fv5kGrpvPQtGngG9y75San+ioLbCOt1jeZpZ5fEVb9cxEkVifICw3FCJN2Z8Qdfq5mvvhgHhszBzc95v6K5pxVcsozU6VeYpFvO9PkZtxqPHEuP2D4GaxyK0K8b6E71C9fg0DYtJcQybb7bC+lXgF3rtzbo0mYqRDxTjfTLz0kp8/fMKt/hZZKwMLuzAJf9ev6dVVEmPSqdJbPWTxMLFKbztl/7zzfvK1iAeW6faQJWcAO97J2BL3d8FuLnjB0kIgl3o0+Ur4cHaEfvyikY6zwgGpRAgWHZXOo99rKm+vD46q0ocIsx4gIQTDVkUzAoAWFYrozwd7s67tmzLz8w1MRn3TJjXa45FgtKIAIaMKrXy6BQPWQNfmfm9vIvi1oKGgNfH0ioiesGyiIDNGcFVyBS49e/oFA9nMAcQz5nmkvrEwxKQGCY4lO/PHlNIMVlHnfh+VIVwaAEAkyMoBKx8hzCvgYOn2MYK3Uv+gRkSBzwc5+TOysBOWibxlxCTL/CpzJYq5e+HYtVzgXYVoDJ4RWtv9BFwGQZchGlgG0pYLksk6P5KznqiaCAMk0fq5RT2FUEKS7jZqHmqCdCgB0/P/YrsFcpSJaMhVz0aAJZ2Zgg0jCSNqEFQaqT8MHv7GXq4iqlobUQWKcQ2oQWAmlE7yccUDNzESo4WbhlY0oMGUxNbeeLgDiH5IC7pJuWZZkVVC9h4XhyEQW4gFvPtLYUpeJ/3AfZIB37I7mI3BzB6K5cVcA9HUkGf/NlLwO0ZRBzDjVBLqIsh+AKZg+QqxAX/vW0h8nBIQwZLeNDMusEcRGfSEBhsBFWgXWvsjY+fcPDNHIRxTlD0pVCHKFOc4Lq6WFfUTmp2wVonxbsfslFiHF2kZRYOHcraw5jOqFLSK7CRlzE5QUJKALiHF7WgGNX4iGYtVVnnhSuYAb428lFiHCamta7tCrYxkiRA+/E+TkMuohLchGZIM6BZ1J+I6pHH25eYsKTC/9y2sNkcCZQWO1r5R6DfMV0csYh0q7unB6BqeDOASxBSyuzBmMFR4kBe4pF5EW4LHDkljCDovphLoJiEWkkOgeIU9xLCOuH1UVcUiwiESzmkFhcuXLcgjdR/vkH8tm4l1IsQhzEOQRrI7k9y2okFwv5cfvPjPl/5CJEQXoahNks2EPohZmpFliEkvv6b2KZUfAiwaPsnvUqEASJOWzqHNhQSekvN3H1/A9CpmwFnGVnzCBNr2kTCjiDzuGlzkGS0wqcl5ah5r2PMned8DRzsmP6WF3EB9qExkCcw+I1W4npFiyQfWXmmZqUT0Gmm67rJsYfuJeSi8gGZitNjeg1HBqpXQKDzaid80GYI+HJAIUtlNHEg0xhiQ/RUc3UPkmrqW8O60pwkmnySiqnSIU0XBvILHaOydLTc95GBYlNEwyh6upXEPnQPHhmZzZqmbv6sIZEGcRFnJMNfAYbv4nfCRl8EkEcWcu9H80WEK59qq7egDoH/CoaYq3mJl441bhaCclFJIE5B/QSssRe5JC5F5iDSh+GmIto+tK1AdhbaWTgV1DN1+hx6VumDgaLFwdZ/OQiEOewTEiUFxsIxzEb+ZYtVbUM4SwJchHI/MaEClomF+uTO5l78rCSZUguAoDMb0yqoM159+SZe4aqljYWiIvo9/zGEzhBLqkra/k21QvL0DR1WGYlIi7isccu4gzrrZRw6bIOX8SYeqZs68PCpZ7UoylKasyBh8lg8/DHP3//80d+CVdT33JNQ2VFnoloLKLpy9gU0DlME5zDECbT/vmfv3777be//lNAwYDZ1PEUV9aReRAZICdAPXURsLfSLLnENp6K+d9QvZC//ikkYMhkOVr44TyW9VgPUQHhTMh+9mjCurImZ2LGjl7+3MoX8EdhAdesJuPlwnu+oQqsRnIRaxDnYCWH75jBZ6H9/Srfb3+V0y/CyLFMQ1fXJAd4yUW8QZ2Dh1yrF/34PMzo8vvtrz+4ny3TMi2EWC1HvufKtm1rmh7KGZtujGQ09c1FoF1ZxfX7729R+CegYlheaQk3TJbTRbDPCbarm5nJhrGRFNmE9sxF5OmthOj3D6ff39zPXElSDVMRD1UIMhnPlvPpaOE4voeEkXvlIuD01NQs9lzrL9wEMabahlW5hKn0aAr8EfjlV/FspeLPv+dNbCChrplOFbPhBOlNXQRS55DVnEd8/7mKlBOF/6VZVYyHE6EvdRFIthLWlZXXz+ZViCzAv/7kfhKvZwjHbhrKYj6rfyX2I6MJm+eQPXMj+fzlv/wPsBPUQEJdtnxnWn7Qeyp9yGhCKqQdkVpaN/amP//Gzz+TXGSwDoNtqeUtUmphSrP/1dXYPAeRMahI/OHPf/6B8YdJWv/rUENbNi1/VMXId4y9r4uA8xxSu7K+Ihj/m2a1nw/PT3TNNtxaRFzteSwCOoeB4MAwwfi7J1QCEYqo6rpuWA4c2VGOvXYRJ/D3Fe7KqooMOZ3kmj62+ZejGq43qu6puMd7GKRCWrwrKzIcBVKo/3xoMYIdqmEq/mI0nS/LWY39ra4WnueAI5D/uShTQLaRcagbsmt5nu+EWs4m+bXc13kRRZ3DC5l30BGed59bx7WSQ902ZNN0XcuylFDOxWgUrM3xeMVLugQK76eLQLqyCjmHyIW104/C5snZM4WFfI74BZsdTbNtw1gHkswoMK1+Pzu9wgrpQT75hhn1R/OMM/CSsAQkDXyTfayuPoLyFWiHnLICl/XKlwzS6fXj3rmIU3jBi8xzYEhPxw2LqlorFwD2aBrs2VF2dfMcJHkEt4SreenBVaVw4a+3V3sYrLdS0fXChpbDu+2xU/FogdxfCbkr7FOPphyT4MQul2z508nzynOUQmPHWGUDr8IP05Hq6r0REHEO6dlK2dcrdNnr3btsFGvFy7TQ17l6RbddZOrc/rgI6BzGYjGH1Cv24s0KvdtdP0UnixLTjvkPxKbO7YeA1TiHSmHe9o4wKTwuPv6R++oiMOfQ6GaRj0WVmTfOIe2ni0BiDpnZSjXDF/Gl99/NA2z1/LHzsQjUOVR1wQrC978eCwaQs9lDF4E5B1UqQnWb/ez+85sARH4QAbvtIrB5Do5SDLec5cihH7Pdgt8R6VHaaReBxBwKsxoldRapWD9JmVaY69vlWATiHEqR1Fskr35m1KvFK2eQHiGl6K6LQBLlS6JUcwvluoDEtlMMVteWpKtp9cLDjMTJGbBPgsmvB+Bzfvkxrfqqs44+Ag/FhxmJktQbLbeA7lbAaWyAQPk2T5DLbu5BkWTP0lS2hZH9UMGlZ8Q+EGlOUJ5uuvg26zdkepiKZIAgJOn3Qqv1S2oPQvq9cFj59jO9uqgaVd3qq1rOu/n8Q/qblWVR/9GpUJlFPrrq4JFK23Ksqor1pMDSx7wUoLtVuaew4KEUVcVa0wVMnPhZjOuO2veQ0ysYPipOWoOtKsnfJz2ZT1cdlu/Nm7PTo4LAu1iZlLU8YGPDV0V/jdNunr2UJkdr3uoFxPqbNX1BukXuBlvVCmjAquoetccqD+xyMMsedFohEux2se+dCaoEtuat37jzIDb+vLNxvF2D2I7dp6xBF9FlI7BLENuPlsmzXG3H86LCg9DuGvFdgowDxGr7JN1VPM/S6nosMuQgjQb+CQA7K8+xlnSbAobVPKXpeUkBNdiFmVxEJvDQe4IUuzDrZYfq13ULZTZ0EbQJzQA22Bojxo/LoK7tVBSbWEeb0FTeg5yZCVYmz51wlawlTFRvaFuwX+hlD0d1iAOHeqww58Dk6IWtKqkp9ndoLtrarn+jOsQRbc0b62Zeww002N0mxXHJRSSBFLvgXUEYX2pXuX6S6qY0ru92SUp9IPm+E7xJRb3rjwXeJDUJpqP5uHWDpMsk7Ez4+MCs0qwKJpmZGUzkIhCgc5gkhoy4w63UwUk5xRuqcLwfArkIACyTHyc32GKRRnazyupn2VAzBasfaBMaA9YqTayUdcXkrYDLqpohBH7PFa5d6WpNUV2gziF1IJmthM/ApVdRXJepcq6RZeQioqDjANNvi+GEMcOwq+k6GBgGP2cj+p4N/EvlDKa7jLOFqaqBGZNUZZq+53Q1uKu5IhexBXEOO2soyJidNWTO0xnT4R+Ti3gGGQe4o2QzpupZO86Jsy4RZAbFIhKAzgGNOVQv3lA3slKtJ44pPf9TQmw9bUIDToBzWKU5h6rEY6rhIu1aeBz39TGsWmAFntMmNL9zqEY9280eUr0wo+d3WJNdchGYc6h57xLsN10ve6jq3NT5zrBYk92+uwjEOcxrlY9JzPQz3ELIMq7eWkC4ZHvuIqBzWNVapsKMzGfeZu2hTZmZBjehvXYRx/DS1eUcwnnihidSWztb4OoN0Sa7g+OmL2JzvIfDOOupcwisgr3p+JLJ1JOl5O+AtPdZ9TajCTqHOuocGGO6LH68qWS0sycXseWw0CDxnOJJQ9tV8gxJnWecHWAuopebUKTOoeIK6cAoyPlnTWfEg7Hq6l7WRcBspSoTcZkUpgDOi4xCXaXfBJBRHYO3TV/M3YMYv/JDPTYXOPifajrF+yhN00PCzEZsYNOXc9ccg9a8kwoi6ZtJmYZScih4xiZYQiYp98xFwArpYqOjo9KFJsEwBU7GMslqEyu54C3nvXIRsM6hVBIuC7eZsun6FfXOXWV9GaRHU5/qIpBB4kWdQyAd08KB34uS90wOJ2smC+Ii9nVsOALmHIooF+wxZctzRvPie5Uv337d/Poa/9PsoUiYi2j6su4KGDJa5BrcvlaOaabiTJfjct0Cv94dhNw9xf488xivxz2aoHOYih1ab7LN1KFmeotquqz+ONjyjf+Bk/kPihnwYdsLF3EBSmxTeys9D2lUA1+gBQ+63McpUVax9357ke/gjr+HCnhRSQbn4Zc9CCYdiTiHl+Gaqq6Fabqyq/ijkhuU1chz+V3H7w+v+h38+sK9WOCOgLmIvU9Jw3orSeyV4ME2XIsmy6bpBrI5o2UF98qxY5l2/Io/P/w2PPCPQJGiGKl/PZqQmIOv2cESkwO9XNeyFEXxfGcxKr0zibD0zHDKMRsyXr/7gyj8DVSsqKl3sQikI/Z0NJ1O5/PlcjapfvTJYDBSDE193vrEbPcPTj9+ByOmH+Ii3jV9iesEOodaWfmyqg5fA7Kx9fctKt9dkfWHxSL22EVA51AXq8ncN4fx9nYx/b5H9y83t9zPBItCe+UijqsfaIUxmy4815aQLBYWy4H/FdHvnv8M0TQqpNPr5Z7GIpCYQ+XMHS/YaLKEvpJM5iN3t68L8OYn95ORcCwSyWjaz1hE1cMg4qymvmXKOrhpRokfej3dbN3fd/4HeY7T++EiEOdQHXPHkmVbz6znZPEN/+39zd3B3c23n7E/R84/1yOp0c/vhYt4rEm6WSCdpumqUC0u0tb65/fv3+PqxYdyrt9qeI7jWCo86mMqzOl+bPpyV00dzmHuu5q6NgjisV+x6Dyc9ML8zWNuia3M/e/0Wp1zWE3Gy3mwwTSGRdpfI2eWCLCjk/q6y1Tgp+59RtNx+ZOVVSib4wfby2LKbcms+gvwwbsij7iJjAiIzIvYIxdRxjlMlvOR4ymKa4bTTkPhSmUZxlrfoYCOv3y/NTRXAFZX74+LyO8c1qIFa811zUA2e20KqmkWMpSyp4uBeBZ/bor1495nF5E5xnEymc3n00CwjWLhXGHDtoM95TYOWIVuLyBVtDzw7hnTHD2b2dvqaqTOYaRrMfQQdb2ZfAneVqpaBDt9D4qUb4vox1T4sXtRFwHrHMYqA9QlFnalUwVcIDU0IvoFAsJu53tQFwErpGc7G+SXANOSb6EK1vuCP/dOGkTIkCZbnU+Igb2VlkbN8mTDhgkVEnMXr97kZum4iZ+LjA3seEIMnOcw20lvpSwk2YdZNTPPSEiEY5GKFSfl9gGb93Z7XgQ2z6H+3koiMNWMNfCZW3Jy6TR7USZNPqxHU5frIhrprSQKU21ZmW6u92yhyOmtRJmhhAqOzNQS4f3q0YT0Vhq1Rr7hulu5vrUvakbbgrBVYfjCjJdhU+e62qMJ6a00yLpKOyePfRF5HRvCX7qjPZqgcxjvrCtrczAd2sBOuohWOoddsB8u4j1cfa1wDjvAhCuwcy6ivc6hfvbARRR3DlJimlBn6L6LQJwDPgkujqQri8XC31H78rrouotAnMNSbPVt88MWrTMauWAq3MN0yEUgM6TFnMPrWLFltx+WTIfHq51xEbAr61isHCQapoEpfJ2CH9G7oSMZTbAr6yQ55BKFq6ZbdvwZOISpwt3o9AonwQ3EnAOzud+4trHuO0KFGU1dmDqH1DkoG1OQic29yxN7U3sZKuBKtL8u4gxJlF+OxODjcTPBd7UXJMbf+owmmK1ERGl5RhMyCY7gaLWLgOkuRIw2J8RgDz8ixuf2PgIPafll87G9e9DDpq9NJyD9ug3p121arF+dPSb2hTafwcCcJSJOm3OZkLg7wdPuOPwJCZjO55bnwRwe0TMwmXdHrV59a84OdwZ/2vqv/xflX9z7Lnb3hdt79NIIfKLGv/79f2L8m9evI2kNewjp121Iv25D+nUb0q/bkH7dhvTrNqRftyH9ug3p121Iv25D+nUb0q/bkH7dhvTrNqRftyH9ug3p121Iv25D+nUb0q/bkH7dhvTrNqRftyH9ug3p121Iv25D+nUb0q/bkH7dhvTrNqRftyH9ug3p121Iv25D+nUb0q/bkH7dhvTrNqRft4nrJwrp1w7goKUikH5NQfp1G9Kv25B+3Yb06zakX7ch/boN6ddtqml33+aG8PvN6XUF8l13YKjpvgLnzOfnqulfoseclG92/67lDf33m5PHkvI9knyNcnZU5hl4fUQd/QmCIAiCIAiCIAiCIAiCIAiCIHj+B7bDnribC4ZiAAAAAElFTkSuQmCC)

This simple trick allows you to embed images directly without relying on external links—perfect for creating self-contained dashboards and documentation.

Have you tried using Markdown in your workflows or dashboards? Share your favorite tips and creative uses in the comments below!