This tutorial shows how to display images (.png and .jpg) in your ESP32 or ESP8266 web servers using Arduino IDE. We cover how to embedded images in an asynchronous web server using the ESPAsyncWebServer library or in a simple HTTP server.
Display Images on ESP Web Server
There are different ways to display an image in your ESP32/ESP8266 web servers. In this article, we’ll cover the following methods:
- Embed the image by referring to its URL (hyperlink to where the image is stored);
- Store the image in the ESP32/ESP8266 filesystem (LittleFS);
- Convert the images to base64.
Option #1: Image URL
To include images in HTML, you use the <img> tag with the src attribute, as follows:
<img src="image_source">You can use an URL that links to the source of any image that is store on the internet.
<img src="https://example.com/your_image_source_url.png">So, to display the image, you just need to include the previous HTML text in your web server code.
For a web server example, you can read the following articles:
- ESP8266:
- ESP32:
Option #2: Store the Image on the ESP32/ESP8266 LittleFS
Little FS is a lightweight filesystem created for microcontrollers with a flash chip like the ESP32 and ESP8266.
It lets you access the flash memory like you would do in a normal filesystem in your computer. You can store HTML and CSS files in LittleFS to build a web server, including small images and icons.
In this section, we’ll show you how to save the images on the flash memory and serve the images to a client in an asynchronous web server.
Filesystem Uploader Plugin
To upload images to the ESP32 and ESP8266 flash memory, we’ll use a plugin for Arduino IDE: Filesystem uploader. Follow one of the next tutorials to install the filesystem uploader (it is compatible with both boards).
- Arduino IDE 2: Install ESP32 LittleFS Uploader (Upload Files to the Filesystem)
- Arduino IDE 2: Install ESP8266 NodeMCU LittleFS Uploader (Upload Files to the Filesystem)
After installing the plugin, you can proceed with the tutorial.
Installing Libraries for Asynchronous Web Server
This section shows how to display an image stored in the ESP32 or ESP8266 flash memory in a web server using the ESPAsyncWebServer library. To build this web server, you need to install the following libraries:
- If you’re using ESP32: you need to install the ESPAsyncWebServer and the AsyncTCP libraries.
- If you’re using an ESP8266: you need to install the ESPAsyncWebServer and the ESPAsyncTCP libraries.
Code – Display Images in Asynchronous Web Server
Create a new sketch in Arduino IDE and copy the following code. This code works both with the ESP32 and ESP8266. It includes the proper libraries depending on the board you’re using.
/*********
Rui Santos & Sara Santos - Random Nerd Tutorials
Complete project details at https://RandomNerdTutorials.com/display-images-esp32-esp8266-web-server/
*********/
#ifdef ESP32
#include <WiFi.h>
#include <ESPAsyncWebServer.h>
#include <LittleFS.h>
#else
#include <Arduino.h>
#include <ESP8266WiFi.h>
#include <Hash.h>
#include <ESPAsyncTCP.h>
#include <ESPAsyncWebServer.h>
#include "LittleFS.h"
#endif
// Replace with your network credentials
const char* ssid = "REPLACE_WITH_YOUR_SSID";
const char* password = "REPLACE_WITH_YOUR_PASSWORD";
// Create AsyncWebServer object on port 80
AsyncWebServer server(80);
const char index_html[] PROGMEM = R"rawliteral(
<!DOCTYPE HTML><html>
<head>
<meta name="viewport" content="width=device-width, initial-scale=1">
</head>
<body>
<h2>ESP Image Web Server</h2>
<img src="sun">
<img src="sun-cloud">
<img src="cloud">
<img src="rain">
<img src="storm">
<img src="snow">
</body>
</html>)rawliteral";
void setup(){
// Serial port for debugging purposes
Serial.begin(115200);
// Connect to Wi-Fi
WiFi.begin(ssid, password);
while (WiFi.status() != WL_CONNECTED) {
delay(1000);
Serial.println("Connecting to WiFi..");
}
if(!LittleFS.begin()){
Serial.println("An Error has occurred while mounting LittleFS");
return;
}
// Print ESP32 Local IP Address
Serial.println(WiFi.localIP());
// Route for root / web page
server.on("/", HTTP_GET, [](AsyncWebServerRequest *request){
request->send_P(200, "text/html", index_html);
});
server.on("/sun", HTTP_GET, [](AsyncWebServerRequest *request){
request->send(LittleFS, "/sun.png", "image/png");
});
server.on("/sun-cloud", HTTP_GET, [](AsyncWebServerRequest *request){
request->send(LittleFS, "/sun-cloud.png", "image/png");
});
server.on("/cloud", HTTP_GET, [](AsyncWebServerRequest *request){
request->send(LittleFS, "/cloud.png", "image/png");
});
server.on("/rain", HTTP_GET, [](AsyncWebServerRequest *request){
request->send(LittleFS, "/rain.png", "image/png");
});
server.on("/storm", HTTP_GET, [](AsyncWebServerRequest *request){
request->send(LittleFS, "/storm.png", "image/png");
});
server.on("/snow", HTTP_GET, [](AsyncWebServerRequest *request){
request->send(LittleFS, "/snow.png", "image/png");
});
// Start server
server.begin();
}
void loop(){
}
Insert your network credentials in the following variables:
const char* ssid = "REPLACE_WITH_YOUR_SSID";
const char* password = "REPLACE_WITH_YOUR_PASSWORD";Save your code, but don’t upload it yet. First, you need to upload the images to the ESP filesystem.
Upload Images to ESP32/ESP8266 LittleFS
With your sketch open, go to Sketch > Show Sketch Folder. The folder where your sketch is saved should open.
Inside that folder, create a new folder called data.
Inside the data folder is where you should put the images you want to display on the web server. In our case, we have the following images.
Note: make sure that the files size doesn’t excess the flash memory size.
In case you want to experiment with these images, you can download them here.
Then, in your Arduino IDE, upload the images to your board. Press [Ctrl] + [Shift] + [P] on Windows or [⌘] + [Shift] + [P] on MacOS to open the command palette. Search for the Upload LittleFS to Pico/ESP8266/ESP32 command and click on it.
If you don’t have this option is because you didn’t install the filesystem uploader plugin. Check this tutorial.
Important: make sure the Serial Monitor is closed before uploading to the filesystem. Otherwise, the upload will fail.
Upload the Code
Next, you can upload the code to your board. Don’t forget to select the right board and COM port in the Tools menu.
Also, don’t forget that you need to include your network credentials in the following variables:
const char* ssid = "REPLACE_WITH_YOUR_SSID";
const char* password = "REPLACE_WITH_YOUR_PASSWORD";Access the Web Server
After uploading the code, open the Serial Monitor at a baud rate of 115200 and press the ESP RST button. The IP address should be printed (in our case, it’s 192.168.1.71).
Access the web server in any web browser and all images should be displayed.
How the Code Works
Continue reading this section to learn how the code works.
Include Libraries
The code starts by including the necessary libraries. If you’re using an ESP32, it includes the following libraries:
#include <WiFi.h>
#include <ESPAsyncWebServer.h>If you’re using an ESP8266, include these next libraries:
#include <Arduino.h>
#include <ESP8266WiFi.h>
#include <Hash.h>
#include <ESPAsyncTCP.h>
#include <ESPAsyncWebServer.h>Network credentials
Insert your network credentials in the following variables so that the ESP can connect to your network:
// Replace with your network credentials
const char* ssid = "REPLACE_WITH_YOUR_SSID";
const char* password = "REPLACE_WITH_YOUR_PASSWORD";Create an AsyncWebServer object on port 80:
AsyncWebServer server(80);The HTML code to build the web server is saved on the index_html variable. To include the images on the HTML text, you just need to use the <img> tag and pass the image source, as follows:
<img src="image_source">In our case, we’re displaying all the following images:
<img src="sun">
<img src="sun-cloud">
<img src="cloud">
<img src="rain">
<img src="storm">
<img src="snow">When the browser reads this HTML text, it will make a request on the /image_source. For example, it will make a request on the /sun URL. So, we need to handle those requests later on.
Connect to Wi-Fi
In the setup(), connect to Wi-Fi and print your ESP IP address:
WiFi.begin(ssid, password);
while (WiFi.status() != WL_CONNECTED) {
delay(1000);
Serial.println("Connecting to WiFi..");
}
// Print ESP32 Local IP Address
Serial.println(WiFi.localIP());Handle Requests
Because this is an asynchronous web server, we need to send the HTML text when we receive a request on the root URL as follows:
server.on("/", HTTP_GET, [](AsyncWebServerRequest *request){
request->send_P(200, "text/html", index_html);
});After getting the HTML text, you’ll receive requests on the /image_ source. So, you need to handle all those requests. Here’s an example for one of the images:
server.on("/sun", HTTP_GET, [](AsyncWebServerRequest *request){
request->send(LittleFS, "/sun.png", "image/png");
});When it receives a request on /sun URL, we send the image that is stored on the /sun.png path in the ESP32/ESP8266 LittleFS (filesystem) and it is of type image/png.
Finally, start the server using the begin() method.
server.begin();Option #3: Base64 Encoding
This section shows how to convert your images to base64 to include them in the ESP32/ESP8266 web server. We’ll show you how to display images in an asynchronous web server and in a simple HTTP server.
Convert your images to base64 encoding. Go to the following website:
Drag and drop your images. You can upload up to 20 images at the same time. For this example we’ll be using the following six images.
Click the “show code” button for each image file that you uploaded:
Then, copy the data from the first field. That’s what you need to use as source in your <img src=””> HTML tag.
Code – ESP Async Web Server
The following code creates a web server that displays any images in your web page. The code works with ESP32 and ESP8266:
/*********
Rui Santos
Complete project details at https://RandomNerdTutorials.com
*********/
#ifdef ESP32
#include <WiFi.h>
#include <ESPAsyncWebServer.h>
#else
#include <Arduino.h>
#include <ESP8266WiFi.h>
#include <Hash.h>
#include <ESPAsyncTCP.h>
#include <ESPAsyncWebServer.h>
#endif
// Replace with your network credentials
const char* ssid = "REPLACE_WITH_YOUR_SSID";
const char* password = "REPLACE_WITH_YOUR_PASSWORD";
// Create AsyncWebServer object on port 80
AsyncWebServer server(80);
const char index_html[] PROGMEM = R"rawliteral(
<!DOCTYPE HTML><html>
<head>
<meta name="viewport" content="width=device-width, initial-scale=1">
</head>
<body>
<h2>ESP Image Web Server</h2>
<img src="data:image/png;base64,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">
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">
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sJvuUO3y7HmAWmp67/k5E1fTo56plbBX9KsVcJmmP6agaFOTIFEDdF8MKHAB4rLQMmVA/2uCUXXCkemlmPdAjIX/oork4FcnAhkbDqQSe23TNSa49MmKPgmZoW0JKIwokSWC839cTdpILDTyJ5eV3b1Ln8eY7U2JCALQS1T07oSHSw8UnZhFBR9V0wbFEwfNh5XzEgDQhR3qx8oJkoxBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiBYk8n+IUNVrk0BAXAAAAABJRU5ErkJggg==">
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">
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">
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">
</body>
</html>)rawliteral";
void setup(){
// Serial port for debugging purposes
Serial.begin(115200);
// Connect to Wi-Fi
WiFi.begin(ssid, password);
while (WiFi.status() != WL_CONNECTED) {
delay(1000);
Serial.println("Connecting to WiFi..");
}
// Print ESP32 Local IP Address
Serial.println(WiFi.localIP());
// Route for root / web page
server.on("/", HTTP_GET, [](AsyncWebServerRequest *request){
request->send_P(200, "text/html", index_html);
});
// Start server
server.begin();
}
void loop(){
}
How the Code Works
Continue reading to learn how the code works or skip to the “Demonstration” section.
Include Libraries
The code starts by including the necessary libraries. If you’re using an ESP32, it includes the following libraries:
#include <WiFi.h>
#include <ESPAsyncWebServer.h>If you’re using an ESP8266, include these next libraries:
#include <Arduino.h>
#include <ESP8266WiFi.h>
#include <Hash.h>
#include <ESPAsyncTCP.h>
#include <ESPAsyncWebServer.h>Network credentials
Insert your network credentials in the following variables so that the ESP can connect to your network:
// Replace with your network credentials
const char* ssid = "REPLACE_WITH_YOUR_SSID";
const char* password = "REPLACE_WITH_YOUR_PASSWORD";Create an AsyncWebServer object on port 80:
AsyncWebServer server(80);Include an image
Then, include your HTML text in the index_html variable. This is where you’ll have your images.
To include images in HTML, you use the <img> tag with the src attribute, as follows:
<img src="your_image_encoded">You should replace the your_image_encoded with the code you’ve copied previously from base64 encoding website. In our case, we have the following for all 6 images:
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADICAYAAACtWK6eAAAABHNCSVQICAgIfAhkiAAAAAFzUkdCAK7OHOkAAAAEZ0FNQQAAsY8L/GEFAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAGXRFWHRTb2Z0d2FyZQB3d3cuaW5rc2NhcGUub3Jnm+48GgAAGHFJREFUeF7tnQuULEV5x7/deezOvncviAQUjUqMCKL4iGjijTzkISJgMIJEfARijOKLk3MMMRojSYziWzSKkRiNRuRhEFHxgTkkEUQRVFSiIYKKcnf37nt3Xpv/v6uL2Z3b07szO909Xf39zimmquay0/V99a+vqqemq28diJI8S+eLlK80+eLpIsMfMnklUVQgvcDsgSK1++ANv0yP5B4sMvlLU1YSo99/VZJiFZGC4qAnKBAm5lnH95REUYEkTfXGRuTYCOv4npIoKpCkWV/0MwGEvafEggokccJcoO5JGvWAooSgAlGUEFQgihKCCkRRQlCBKEoIKhBFCcEtgayvIunOmcRYr4vUZ/2CG7ghkMpXRGaGRfaURKbRpPkT/TeU2Jg/BrbPwQ9TSAX4xI1dAOkXSPUWkbljMXotm9Zwi0b5etQ9xntbiYG9h8LmX23sJVuvom63SO127+00k36BLL+64Rib2KrKnSJrn0BGiZS1D2OQuqsxOG30wdIr8Z90k36B1H7kZ5qgkxZfaPJKdCyeZ2wdRA2DVMpJv0Byj/czTdBpXK8vXeAVlQhYgjho41YCyR/tZ9JL+gUy9PfGSUE3r+i45ffgvXlTVrpH/X7YFtOrIHFYf5Te4hXTTPoFkn+CSPH3/UITdB5buHCSV1S6yCJsStu2ih4Dz4ZvDvcL6SX9AiGjX8KIhtegKELKN2HR/g2/oOyYMuxd/pZfaMJGj9F/94ppxw2B9OUx1Xp9sEA4wjEtnOAVlS6weHLDrhux4hj+K6/oAm4IhAz/g2lNK5HUV0RWsB5RdsbK22DL6r7isPQXsfZ4k19IP+4IhIx8JlgghA5d5h0tzsV6ibDr6bFrXS/Dhn/eWhy0/cjVJu8Ibgmk+DyR3EGtowjrF1/sFXuGvv38TABh7yXB0jnGhkECYX3ukfCBW9t83BIIGfuqcVYrkaz8s0jt/0y5Fyietu/12jLf6xVqd4ms/ltrcTCN3eAVXcI9geQONbcYg6Bz2eLF53rFnqB4CtLTG53MJtbxvV5hEWKl/VoJZOAPYPtDTNkhHH2yIprEXb0kyKE1pPFr0QFPNuVeYPX9IuVPmnzxLJHBV5h8L1DGumIeAgkaTq2g93OwGwF3Hz26/DdIfxk86rHFfQMiU6umrITD7evcoRtkR6bht4mULvSqXMO9KZZl6CK0rugXmqCj62sQ0F+bstIaDjKht3WHnBUHcfvh1ZUvicw9yzi31ei3i87PeVVKE7ytO41IG2a/8a+JFHZ7VS7ibgQhheORHucXmrBOXzzdKyoB8GZGkDgshSc6LQ7i/vEH9V9jFDzADAWtRsGJ74vk9ReIm6jciugLAQQJxNpt1wzem/SqXMXtCEL6H4Q58lnGoc1Yx69e7GeUB1i7xLwGRQ/acvBc58VBsnOAzrTv6aDRMI+RcvwWU1YMc4eJVH8QbC+yKxvdxv0IYhl+b3AU8QTS4leJWSZ3ZGt7DV9q8hkgOxGE7H04RsW7N4+KbP2uOdSNmbJiqO8VmW2aQtFWhcMRbdP/tJLtkp0IQib+F3PnF/gFwIX51C9VHEH0T4hM/hyR5BF+BRg8J1PiINmKIEqHsIsErdbdJ1sRROmQbIqDqEAUJQQViKKEoAJRlBBUIIoSggpEUUJQgShKCCoQRQlBBaIoIXQukPWaeYjY3NEii2eJVL/rv6EoCcNzSZZeKjK/2/xkeAd0ttVkvSIyU9y8A4H54rEiY19ERgOTkhALp4isXWvy7Jvsl/3oj1N8lE37dCYQHiew9oXNOrB/ha9DiCxDf2fKioG7Y+s/w+iGSFu7FRH3OyjfC3vNIeE9RmRrQzqWD+Tum0Aah50fKpI/UiT3BKQjTJmbCZUGK29C1HizsR3ZuDuGT3AtHu8P3u3RmUBmSnDm6uaLsPCvMfVBPaOfxYX10EPa4oRRtnwFEmzAh0esLxi7WIJsF0bz/9s/CtGcAPueITKAJBBUFiljoOZv5+tlY5dWfbJvEFFkxZTboDOBzGL0qvM3FH45CP5VpjxGu9GvYOR7pFftNPV7RFYvQXS9HBFidl+HhdmrHTZ67AE774JQXiQy+BqI52DvLafh42MXMKWv/s++dm6G9uGAMtn+SWOdLRaKWABtdFIQvGD+9RqmFbOPQmNO3fr/SSMcX1Y/gDY+BJEVg8HyuyAUiINPEmL7rfPCHNguG/8mP4OfVZ/GZ0OcM7iO2UNwTR90095k8Uy08WHoWxCHtXEYtEMRg0cHdP57kLmnILzdvP0LtAy9VaT0Br+QYtaX0CFfjbnvR0zZ2mArW0SNtbV9LZ0Hm0O0fZgWp52Vt8PmF5q20c7b6XdMeazbJjq7y9q5QMjax6HmP2r/gvsHzBFdheO86lTBxfbSH5v1xXbbnRTW3mQQo+7QP8L2WPSnjcrXMQM5GbZfbq+f8d8No82D8FeH7EwgFh4Yv/w+E01IWAPsp/G1cKQ5X7B/f1PX6yy9DKPYZY32beWoXmGjzUvno9Ng+pUG1jFVnT8eAvnW9mxu28m7VkMQBQeEHfqoOwIhXLQvnIjG/Fd7jeHr4FkiI58w5V5k7UpEyjPMtbJNOzR6YvD6bRtGr8a8HOvCXoUHHa1+rP2+xKc9jvIriO4cPtQ9gVi8cHgCBLNmGrVVZ7JOY/QZeg/EgmjUK/CJ5vNYa1W+vb22pAVr8+KTRca+6VX1DLy5sPxyEwXa6j85COM6CAQRp4t0XyCWlXebRSz/ejsNLcBp4z3gtMr1InOIiPa6t7r+tGG9ztfxG2D3Y0w5SfYeKlK9q73+QiI8fsGuGrpP6QLz5PTBF5rRwDamFTQIr6ZyM0aRt3tVibH0Zw1xbMdZaWRj2+aONYNZkiyeY8Sx3buiTLzxsAszlQiPX4gugmykdjcMcJpI+baGJFsZgVeTe5h5hlUSzB6M6/15o/NkAdvhcg8VmUzo/MZWj4bdCK/R2zZyGNasV+F6H+VVR0l0EWQj7PDj30G6FgYYaDikJbRCzHAryMwQPhri2M4o5hJsK9vMvWIzo7DFslcdG1v1BysM7k8bhzDGvxeLOEg8ArHwTEAeezb05oZRmg3D8sDLTD4u6vehY4zhs1eyJYxm2Pb1RdhiGDbZY+rigJ+bf7TJb2RjH+GJYVMV9KF49/bFM8UKgneIeOt07XOm7DkHid+NMNrERfVWLA5bnIORVWyP4GNG84f7hYip3QM/YIrHz7Z+YH4Aa8GRq1HX4ji9iElOIJbqnVibfAgj1v0QB4wxgEV9XHiR40AVRxDsFUxT8EuXvlPYkvqMuVlQw1o1h4gyiKjBbSIJkrxAkoJrjmlMq1QcrWHPoG0ml/CK9VkGiXcN0kvMHqDi2ArahiKhrTJKNgXCrelZX5BvF08kWLhze3kGyZ5A+CVg7V4VRzvQVvyB0lLCXyYmQLbWIGV/+wiHBRVIe7CXMI19WbyHc2SE7AiEt5WnC0YYKo7OsCLZj08IycbkIztTLO7KVXHsDGu/ud/xilkgGwIpX2m2rCvdoXILbHqNX3CbbEyxtrMRTtk+tsdk4Kx09yMIfz9OP6o4ugdtSZsuvdwruozbEYRPLJyeNA5VgXQX9homx8+YdzuCLJ6n4ogKa1PHo4i7EYTPrZoeUYFEyQNRhM8fSGa3bdS4G0HsT0hVHNFhbbv8Wj/jHo5GEDRpD7Sv0SN6bBTZz8FuBNyMIKuXmlcVR/RYG6/9k59xCzcjyN6H6IbEOGEPyv2myMRPTNkh3IsgPIKgCnEo8VL9qfmFpmO4J5CVS8yrRo/4sLZefbefcQf3plizUxjJ/MNrlPhgL+p/sMjkL03ZEdyKIDz2zJ7spMRPDVMsx1a0bgmkcoWKIyms3StX+Rk3cEsgPDBTBZIctD194BBurUG8x2YuqkiSgj2pb1JkasaUHcCdCMKFOcWhJAtPheIzxxzBIYHcY0YwJVnoAz4A3BHcEUjNP8VUp1fJYW1fu8PPpB93BMKHUCu9gUO+cCiC3KbRoxegD6oxPp0/Ytxagyi9wbo7e+Eat3lX3ytS+RoyS6z2qnZOHX9qf5Hi85BO8+siYnY/fNy0RpGkYW/KHSQyEbFIyp8zj3Na5y3lbo3zuPi+YZH8M0QGz/dqjEBmd2GKgg+KqnN558o9SWT8ZlOOgpk82ldTgSQNBcJONhXhLfe5p0Ic/x3d/McTudlX1i9LLzXi4Iexc0WR+Lf5sLEod3tSHEqPwFlIRKy8A33JF0dQX+tG4t/mvrKl85DlE/JYGSX2g8uf8oqRkMC5n0oLovQF+5DtT1Hi9derqBXKJS4wDVKUFNEvxdPNnCtK+Pe9dchZXjES4tS5Ek6Uvij+oelPcfTZ4ml2kb7h8PxuYxtS3C0yxrtkEaGL9N6A/u4bwSI9wv1YMS7SG7d51y7H4udGZHj3oVufzNu8uzwlSuF4vy4iZvfHx+1RgSSN17kw4E5E/L1UrLd5XWDvIxAFf6oCSRr2pvxhIuPfM+WU487Mvf+hfkZJnL6H+Jn0445Ackea0UtJFi+CwBeO4I5A8kf5GSVxHPKFQxHkceZVo0hyWNvnDvcz6cchgWDeqwv05KEP+g8yeQdwRyB9E0ijfkFJjP4p+GHEL6QfdwRCiif4GSUxCif7GTdwTCBn6BokSWh7+sAh3PmikHCryZ481iN+WYkP9iImHg3t0FrQrQjSB2XkMQd2R/LpIvcbTomDuCUQUnyxCiQJaPPBc03eIdyaYhE+tGzmYDOS6W3feGAPYpr6FYbcB3lVruBeBOE9+Lzuy4qd/COdEwdxTyBk8A06zYoT2rp0kck7hntTLMsezK90mhU9dnqlx0CnjNJ5GkXigDYuvdLkHcTdCLK+IjI9pFEkSthzmHaVYeOCV+Ua7kaQvpLIwPP9ghIJFMfgC50VB3E3gpD1OUQRbmJEXqNId3kgeszDtu5uEnU3gpC+ccyPzzeOVLoLbVp6hdPiIG5HEMu0Hz40inQH22O478px3I4gltGrG1MCZWfQhnwI4Ni1XtF1shFByNxTRKo3axTZKewthaMhkJtM2XGyIxB6dg8Cpi7YO4c9hcnRLwWDyMYUywOqGPtyw8lKe1i7jUf4+NgeJEMCAcVjRUqvUoF0Am1Weh2mV7tNOSNkaIq1gdlDsND8mU61tgt7SP/DRSZ/asoZIpsCITOjcPyiimQrPHGMQRxzppwxsiuQ9WWIZNjkVSTBsGfQNpMreB30qrJG8muQys0iC6eK7H2MyOLZmPpM+29ETN8QHH+/6QTZHCLCsTaZmI1PHPUZ9IEXoC8chtdzRKq3+W8kR3IRhNObheeIlL9mRimvDon5CawP+KTEOKjeITJ3hMlrJDE8II4fwg+/5RcipnYP1ob+L0HpB3sNA+gjI59FXTLH9yUTQZYvFJnGGoDnstMYNtmrWTzRz8RA/nBEkj0mn8xQ0VtYG0ztjU8cZP6pjT6w8ZUH5UwX0GfejEL8xBtB1j6Nzu+fMWdF0QzfY4r7yyiuSWYPwGuGF+40ORfkE7+GDQZMXRyslyECfN5WfaK/aKJJ8dledRzEE0GqP8C8EqPRAsRB7OjQiniuajNck/BcvX7eAkY5Zn0mCtvKNnu3cufiFQfpQ8cP6w9WOBTS3ClIjzOnicVAtF1xfRUR43Sz6Kr9eGthEDqreJ7JJ8Hk3SKlC8x1ZEEktp1Dr0PbE/yegz9uC7O3FQmfmlm9HdH+EehbZ+P/qfLdyIhuirXytyJLbzB527gwrKMKTxAZv9WrSpTKDRipjmtc91bXnzas1/nK7SO98A353KNh9x+111/I8DswqL3WL3SX7guk8kVMpbDIruPPttPQfvzD4csxkpzjVfcGuLD5p2CheMv22pIWrM2LWBiP/adX1TOsvg8L8leaKV9b/QcL+dEvQOjHeNXdonsCqd9vhFHB6G8bFdY4+6l8Lf0JxHGpKfci5WvQtueaa92O03oVXj8Tp7oj10IgPXxUAadPq59svy8VnmyEwnNKukB3BLKENcPyh43hybYbwxHsS/j3KTlwZenlmDp+0OTTJBTa2tqdP5MdxiidBrxB93gMurc1bL2dvsXoM9SdQXdnAlm9DJ3mZebCttNhrKNyoxjBGA6f5lWnivo8BgMIhaMb2U67k8Lam/DpI0MfwCCWwt+Qcz248GzYfq29fsZ/N/wRtP2lrO2IzgXCg/ur/sH9271gMnIJLvg1fiHFrMNZy69DRHm/KVsbbGWLqLF2th1kEPP5ISxiXXg0D2/8LPuPlW2n3+Wx+J+406tql84EMn8c5uVQ9XZuEtuLHHw+xPEpr8o5Vj+KdDEGjJ+YctxisR60r3yQ9OBFSC/yKxxj4TSRtau3JxLCKdfACWZt0ibtC2Qdn7YnZ8QRdnH8q7ywwqNwYRBTLgNPXK//CkJ5F5z3MZHafaau2UY7FU2zt2w5dyA6wUsgilfBN+49ZX0fahiMFo7FoHS3selWfZFpFzpkX3sO6EAgqxBIqbVA7MXwttvINSLFGPdV9Rrlq5A+izn0dRDPrLGLpV2hNP+/vEvDAzN5JmDxVFOfRbhXa4FnU1aNXVr1SQ7W+3Ebkf8Th23S2RRrFgu9etOeJftX+DqM8F56iykrBu7xqt+LEe8OjH634vU21N2Dujm87kVaMrYjnqNHkCYghDG8Ivrmj0SUOMpsruQZKA4dtdwVlv8CCdNc2yeb+6a3lQg2bpPOBFL5BhbpzzBRxMK/wmOYx9qf5ylK15hHHyx/cbNAGD0mb8LgcrQpt8F2ltn7Uvg9fCBGwAJFcoCZRk1iZFRxKEkzdr3IxHfQJ09B38RajH108vaOxEE6iyCKkhE6iyCKkhFUIIoSggpEUUJQgShKCCoQRQlBBaIoIahAFCUEFYiihKACUZQQsieQlYtFZg80D4lbeaNfqbSEP1DaezDs9XCR1ff4ldkhW1tN5o4SqXy7sZGNLS8cLjJ+uykrm+HD/qo/btiLm/4GdouMZeeUqexEkJV3GnGwxXS4TZU7RNY+joyyidUPNcRhE21X/jreuxyZbJAdgSy/1jh5I9bxFd2FvA+V6xv2sdjy0rleMQtkQyCLZ/o/mjHFTXj1WJMom+nb39imGdqQ9XwEUgZwfw1Sv09kGgKwU6uNsOVMkz8SyR3qVSk+1VuxBnmisVmQ3byfsC7gPbd/2eh+BFk4LlgcloHTVRxB5I8SKT7TLzRBW9KmC8/yii7jdgTh2mLuJOPQoFGQqYMnXWQG/k5+mr+NR76V/cZvEil09mu9NOB2BOERb0HOJXTu8FtVHGHwCSBDFxpbNWPtuogByGHcFQiP7Kq3ODuCDu8fEin5xzMorRl6G2wFJQSJhNTmnP4C0U2B8OF2K29qjHLNcIE5cqXJ9wor6Ij8InPuSehw7/Qre4SRf90iilzgFV3EzTUIH3Rc/nywONhaLkDHv2XKvcDcE7Fe2nBsBK+x+HSRsf8w5V5g76GIFncF25QDzuDZENK/mLJDuCeQ2g9FZn/bOLLZmWwpnbnrZ4idMR0zvRV88uL88zZfL6+TiY9R4rPGeoHq9yGSx7a2K9PUvbDrQV6VK7g3xZo/JtiJhE4svbh3xEHKV+x7vTZfudrP9AD5w0QGWjzi1F4/b6k7hlsCWfsMIsgvNnc2C8XB+pHLvGLPsD7tZ5rgtbZ6Lym4FiG0ZRCVOyH4G/yCG7glEG4pCRIHoVOHeLJSq3+QFGEu6DH39JVgw7cEC4RmZVp8jld0BXcEsvR647ig/s/6HG/rvsKUlc4pXWR6TasoUl8RWXmrX0g/bghkvSKyzFOU/PJG6Eim0eu9otIFRj7fsOtGbBRZgogcwQ2BcE8QWxIkEMJbpvnf9QvKjimeJFI40i80YUXCU4EdIP0CqX4TC8MWv3DjCMfbuqPXeUWli/A4M9q2OYpY1q4Rqf3YL6SX9Atk+Y2NUasZOm/oAryXwpNde53+B2M9cm6wQKw/+Hv2lJN+gdQQQYKg4+ik4Xd5RSUCRj5qbNwqitR6aLdCh6RfILnD/EwTdJqDWx96C6hj+P2tBdKf/t/ZpF8g/G7DzoVtYrlwhMjA2cgokTL4pxikDgz2wfAl+E+6Sb9A8o8XmbgRg1mp4aSBk0TGv+u9rcTA5C8wID2tIQ76gj7JPdZ7O824tVmRv4CTYTMvTgsLAYdOEk/oZ2Ka+GlTTgPrNfxnBW1x53fq6Y8gG+Ev4NIkDtfoyzklDuKWQBSly6hAFCUEFYiihKACUZQQVCCKEoIKRFFCUIEkTtjXUO58RZVWVCCJM+y/BuH2g6HTgAokaQrPDA4UrCvsNnklMdw//iANzO4Sqc00dgHQI/mDRSbuMWUlMTSC9AKT0yKll8AbEEr//sifr+LoCUT+H40VSTOc3kHkAAAAAElFTkSuQmCC">
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">
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sJvuUO3y7HmAWmp67/k5E1fTo56plbBX9KsVcJmmP6agaFOTIFEDdF8MKHAB4rLQMmVA/2uCUXXCkemlmPdAjIX/oork4FcnAhkbDqQSe23TNSa49MmKPgmZoW0JKIwokSWC839cTdpILDTyJ5eV3b1Ln8eY7U2JCALQS1T07oSHSw8UnZhFBR9V0wbFEwfNh5XzEgDQhR3qx8oJkoxBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiCwYECILBoTIggEhsmBAiBYk8n+IUNVrk0BAXAAAAABJRU5ErkJggg==">
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">
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">
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">Connect to Wi-Fi
In the setup() connect to Wi-Fi and print your ESP IP address:
WiFi.begin(ssid, password);
while (WiFi.status() != WL_CONNECTED) {
delay(1000);
Serial.println("Connecting to WiFi..");
}
// Print ESP32 Local IP Address
Serial.println(WiFi.localIP());Handle Requests
Because this is an asynchronous web server, we need to send the HTML text when we receive a request on the root URL as follows:
server.on("/", HTTP_GET, [](AsyncWebServerRequest *request){
request->send_P(200, "text/html", index_html);
});Start the server using the begin() method.
server.begin();Demonstration
Upload the code to your ESP32 or ESP8266 board. Don’t forget to select the right board and COM port in the Tools menu.
After uploading the code, open the Serial Monitor at a baud rate of 115200 and press the ESP RST button. The IP address should be printed (in our case, it’s 192.168.1.71).
Access the web server in any web browser and all images should be displayed.
ESP32/ESP8266 Simple HTTP Web Server
In this section we show you how to display an image in a simple HTTP Web Server.
Note: to display images, it is better to use the method with the Asynchronous web server (the previous example). You might have issues with this method if you try to display a lot of images or use large files. However, this method works well if you just want to display a small image or icon.
The following code shows how to display the image if you’re using a simple HTTP web server (without the ESPAsyncWebServer library):
/*********
Rui Santos
Complete project details at https://RandomNerdTutorials.com
*********/
#ifdef ESP32
#include <WiFi.h>
#else
#include <ESP8266WiFi.h>
#endif
// Replace with your network details
const char* ssid = "REPLACE_WITH_YOUR_SSID";
const char* password = "REPLACE_WITH_YOUR_PASSWORD";
// Web Server on port 80
WiFiServer server(80);
void setup() {
Serial.begin(115200);
Serial.print("Connecting to ");
Serial.println(ssid);
WiFi.begin(ssid, password);
while (WiFi.status() != WL_CONNECTED) {
delay(500);
Serial.print(".");
}
// Print local IP address and start web server
Serial.println("");
Serial.println("WiFi connected.");
Serial.println("IP address: ");
Serial.println(WiFi.localIP());
server.begin();
}
void loop() {
// Listenning for new clients
WiFiClient client = server.available();
if (client) {
Serial.println("New client");
// bolean to locate when the http request ends
boolean blank_line = true;
while (client.connected()) {
if (client.available()) {
char c = client.read();
if (c == '\n' && blank_line) {
client.println("HTTP/1.1 200 OK");
client.println("Content-Type: text/html");
client.println("Connection: close");
client.println();
client.println("<!DOCTYPE HTML>");
client.println("<html>");
client.println("<head><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"></head><body><h2>ESP Image Web Server</h2>");
client.println("<img src=\"data:image/png;base64,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\">");
client.println("<img 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\">");
client.println("</body></html>");
break;
}
if (c == '\n') {
// when starts reading a new line
blank_line = true;
}
else if (c != '\r') {
// when finds a character on the current line
blank_line = false;
}
}
}
// closing the client connection
client.stop();
Serial.println("Client disconnected.");
Serial.println("");
}
}
This code works both with the ESP32 and ESP8266. The code uses the right Wi-Fi library depending on the board you’re using.
The process to display the image is all similar: you need to include the image base64 encoding in the src attribute of the <img> tag.
Then, send the HTML text to the client using the client.println() method as follows:
client.println("<img src=\"data:image/png;base64,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\">");
client.println("<img 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\">");We’ve explained in great detail how this kind of web server works in previous tutorials. To learn more, you can read the following articles:
- ESP32 Web Server with Arduino IDE
- ESP8266 Web Server with Arduino IDE
- ESP32 DHT11/DHT22 Async Web Server
- ESP8266 DHT11/DHT22 Async Web Server
After uploading the code, you should have the images displayed in your web server.
Wrapping Up
In this article we’ve shown you different ways to display images in your ESP32/ESP8266 web servers. If you know any other suitable method, you can share it by writing a comment below.
We hope you’ve found this tutorial useful. You might also find useful using the images included in these examples in an ESP weather station to show the current weather status.
If you want to learn more about the ESP32 or ESP8266, you can enroll in our courses:
- Learn ESP32 with Arduino IDE
- Home Automation using ESP8266
- MicroPython Programming with ESP32 and ESP8266
You can also take a look at our free resources:
Thanks for reading.
rather than exposing your image to an exernal website, you could use something like the following lines of python to produce a base64 string:
with open(“test.png”, “rb”) as image:
print image.read().encode(“base64”)
Hi Mark.
That’s a good point. Thank you for your suggestion.
Regards,
Sara
Why not just use SPIFFS to store serve files like me:
github.com/fotoamg/esp8266captiveportal
or a ‘browser’:
github.com/gmag11/FSBrowser/
Thanks for the suggestion, we’ve added the SPIFFS method as an option too.
Thank You so Much for this article!!! I’ve been looking for this for a long time.
Hi, I want to store image that captured using ESP32-CAM on to the google cloud storage or firebase storage, is it possible?
Hi.
Yes, it should be possible. But at the moment, we don’t have any tutorial about that subject.
Regards,
Sara
Hi,
Is it possible to include jpg images inside SPIFFS ?
Images from spiffs, kinda works. That is to say Images are served but not consistently. When I first access the server using chrome or firefox, a random image is omitted. When refreshing the page, different random image is omitted. There is a place marker shown in the page where the omitted image should be. It could be the first, last, or any inbetween. I’d suspect there is some kind of time limit in some function that a strategic delay might help. I also found that accessing the server from different devices yields different ommissions. IE: laptop, vs. cellphone, etc. But all in all it makes a great lesson in how to serve images, in several ways, and usually you wouldn’t be serving 6 images sequentially anyway.
Intriguing, as always.
Is it possible to provide an example with image files stored on microSD? Ability to specify files in a pathname on the microSD as well?
Very helpful for displaying images.
I have success with the inline base64.
Next I am trying to set the favicon so that my served web page will not have the default tab icon just as yours does in the example above.
Have you figured out the syntax to make that happen by any chance?
try to put the following between your head /head tags
sorry, have to repeat my answer but this time without the ‘fishhooks’.
try putting the following in between your ‘head’ tags”
link rel=’icon’ href=’data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAS0lEQVR42s2SMQ4AIAjE+P+ncSYdasgNXMJgcyIIlVKPIKdvioAXyWBeJmVpqRZKWtj9QWAKZyWll50b8IcL9JUeQF50n28ckyb0ADG8RLwp05YBAAAAAElFTkSuQmCC’ type=’image/x-png’ /
but enclose it between the smaller than and greater than characters
Dear Rui And Sara:
First i have to thank all the examples , las explicaciones son Soberbias ( sorry this mus be written in Spanish).
The first example in which you store the images in Spiffs trend to fail in ESP01 , it seems that there is is a problem with the subrutines of the library , i have been checking with different kinds of ESP01 but when this images are stored INSIDE in a file with name index.h and then called from the main.ino, then it works perfect.
The problem with the first example is that only the images sun , cloud and rain appear on the web server the rest only send an empty square , probably due to some problem inside the e2prom , puya is one of the memories with problems mine are xmc QH80, bermicro 25q80. I hope this will help you and the rest of the people who are playing with these little computers.
Regards
Luis
/*====================================================================================
ESP8266_LISTA_SPIFFS
This is a sort of tool to check if the files present in data are transfereded with sketch data upload
the test of short files like .txt files in SPIFFS of an ESP01 ( Flash size 1M (512k Spiffs) worked ok , then I loaded with sketch data upload the files sun.png, storm.png , rain etc , 7 files in total but all of them png and the amount of memory used were less than the total amount of 512k in order to have free space.
The results shown that only 3 files were witten
or the adressing sistem of the e2prom is falling or it has holes , I agree with Jhon
ESP8266_LISTA_SPIFFS *
INICIACIALIZACION EJECUTADA.
Archivos encontrados en SPIFFS :
Nombre del archivo tamaño
/rain.png 8761 bytes
/cloud.png 4042 bytes
/sun.png 6417 bytes
==================================================================================*/
#define FS_NO_GLOBALS
#include <FS.h>
void setup()
{
Serial.begin(115200); //
delay(1000);
Serial.println(“”);
Serial.println(“”);
Serial.println(“*********************************”);
Serial.println(“* ESP8266_LISTA_SPIFFS *”);
Serial.println(“*********************************”);
Serial.println(“”);
Serial.println(“”);
if (!SPIFFS.begin()) {
Serial.println(“FALLO INICIALIZACION SPIFFS¡¡”);
while (1) yield(); //
}
Serial.println(“\r\nINICIACIALIZACION EJECUTADA.”);
listFiles(); // Muestra una lista con los archivos presentes SPIFFS
}
//====================================================================================
// imprime el Directorio SPIFFS (directorioi raiz)
//====================================================================================
void listFiles(void) {
Serial.println();
Serial.println(“Archivos encontrados en SPIFFS :”);
fs::Dir dir = SPIFFS.openDir(“/”); // Root directory
String line = “=====================================”;
Serial.println(line);
Serial.println(” Nombre del archivo tamaño”);
Serial.println(line);
while (dir.next()) {
String fileName = dir.fileName();
Serial.print(fileName);
int spaces = 25 – fileName.length(); // Tabulate nicely
while (spaces–) Serial.print(” “);
fs::File f = dir.openFile(“r”);
Serial.print(f.size()); Serial.println(” bytes”);
}
Serial.println(line);
Serial.println();
delay(1000);
}
//====================================================================================
void loop()
{
}
The base64 code usually works well, but if you have a page with some JS code , you may suddenly be confronted with ‘variable not declared’ after you insert the img code.
Remove the image code and the error is gone too.
This can happen when you have the img src=”data:image………………”
in double quotes.
Change it into single quotes like so: img src=’data:image………………’ and chances are the error will disappear
Thanks.
Really, you saved me.
how to show the favicon.ico in the browser tabs
how to add favicon.ico in browser tabs using esp8266
thanks
Hi.
You need to upload the favicon to the ESP8266 flash memory.
Then, when you receive the request for the favicon, you just need to send the image.
Regards,
Sara
Either by giving your html a link to a remote faviconm or if you want your own favicon stored in LittleFS:
<link rel=”icon” type=”image/x-icon” href=’/favicon.png’>
with
server.on(“/favicon.png”, HTTP_GET, [](AsyncWebServerRequest *request){
request->send(LittleFS, “/favicon.png”, “image/png”);
});
Hi,
to show the favicon icon for me the following does the job.
Put this in the section of the HTML file “index.html” in the data folder:
Obviously the icon “asterix-32.ico” needs to be located in the data folder as well
and in the sketch you need a section:
// Route to load asterix-32.ico files
server.on(“/asterix-32.ico”, HTTP_GET, [](AsyncWebServerRequest *request){
request->send(SPIFFS, “/asterix-32.ico”, “image/ico”);
});
…..
Put this in the section of the HTML file “index.html” in the data folder:
“<” link rel=”short cuticon” href=”asterix-32.ico” Greater-than-sign “>”
(without the “” “” signs at the beginning and at the end)
…..
Something went wrong with the previous post,
Hi,
to show the favicon icon for me the following does the job.
Put this in the section of the HTML file “index.html” in the data folder:
“”
(without the ” ” at the beginning and the end)
Obviously the icon “asterix-32.ico” needs to be located in the data folder as well
and in the sketch you need a section:
// Route to load asterix-32.ico files
server.on(“/asterix-32.ico”, HTTP_GET, [](AsyncWebServerRequest *request){
request->send(SPIFFS, “/asterix-32.ico”, “image/ico”);
});
Hope it works this time 🙂
Next try
Smaller-than-sign link rel=”short cuticon” href=”asterix-32.ico” Greater-than-sign
“<” “>”
Question from my side with respect to making available images via SPIFFS
I understand that every image requires a section as follows in the sketch:
// Route to load couch_32px.png.png files
server.on(“/couch_32px.png”, HTTP_GET, [](AsyncWebServerRequest *request){
request->send(SPIFFS, “/couch_32px.png”, “image/png”);
});
That works great – but is a lot of writing for multiple images,
Is there a way to do it with wildcards or anything similar (regex) for several image groups?
For example for all files with png extension or for al jpg files or for all files where the filename is asterix* where * means everything that comes after asterix?
By the way – thanks for the great tutorials.
Hello!
First thanks for the great Tutorial.
Its written very well, but if i do so, i have no images on my Website. The Textline appears, but the uploaded Images don’t, only Placeholders.
Would be nice to get an answer.
;_)) Klaus
Hi.
What’s the method that you’re using? 1, 2 or 3?
Regards,
Sara
Hello!
I Don’t know 1,2,3.
Its from this URL:
https://randomnerdtutorials.com/display-images-esp32-esp8266-web-server/?unapproved=692972&moderation-hash=3a9fe7f4c3a597d214e60610f2b11240#comment-692972
Ah, got it, its Option 2.
;_))
But the problem is still not solved!
;_((
Hi.
Make sure you upload the images to the board.
The images should be located inside a folder called data inside the sketch folder.
Then, go to Tools > ESP32 Data Sketch Upload.
REgards,
Sara
Hello!
Yes, i did it like you told.
The Text appiers, but the images did not, only Placeholders.
Regards Klaus
Check the names of your pictures and make sure they match the picture names on the code.
Hi!
Already checked, even case sensitivity and spezial signs.
Tested with your images from the Tutorial and my own.
;_))
Hi Folks,
Great tutorials, but somehow I am not a huge fan of the Arduino environment.
What about direct hosting a webpage+pictures using an ESP32 and micropython?
You discussed it, see https://rntlab.com/question/micropython-eps32-webser-how-to-display-gif-photo/, but i could find a dedicated tutorial on that one.
Hosting the Webserver was straight forward, but I found it difficult to display the pictures directly saved on the ESP32 (using ampy). They key point was the ” make sure you listen for the /image request and serve the image accordingly.” as Sara stated. The main html might be initially loaded, but all referenced pictures are loaded thereafter via a GET request.
Might be an opportunity for another nice tutorial, with some details on HTTP headers?
Hi.
Thanks for your feedback.
Unfortunately, we don’t have a complete example showing how to do that.
Do you have an example sketch for that?
Regard,s
Sara
Hi,
No problem:
#############
import network
import os
import socket
enable station interface and connect to WiFi access point
nic = network.WLAN(network.STA_IF)
nic.active(True)
nic.connect(“SSID”, “PASSWORD”)
while not (nic.isconnected()):
pass
print(‘connected?: ‘+str(nic.isconnected()))
print(‘my IPaddress: ‘+str(nic.ifconfig()[0]))
html = “””
A simple esp32 / micropython example
“””
try:
#create a http socket to connect to.
aaddr = socket.getaddrinfo(‘0.0.0.0’, 80)[0][-1]
s = socket.socket()
s.bind(aaddr)
s.listen(1)
while True:print('I am listening, please connect ...')
#each request from client is handled here
cl, addr = s.accept()
print('client connected from', addr)
#First read the GET from client
cl_file = cl.recv(1024).decode().split('\n')[0]
print('requested from client: ' + str(cl_file))
#simplified, the argument after GET is the required file
file_req = cl_file.split(' ')[1][1:]
print('requested file: ' + str(file_req))
#serve the initial HTML
if ('GET / ' in cl_file):
cl.send('HTTP/1.0 200 OK\r\nContent-type: text/html\r\n\r\n')
cl.sendall(html)
#or serve requested files
elif (file_req in os.listdir()):
cl.send('HTTP/1.0 200 OK\r\n\r\n')
myfile = open(file_req, 'rb')
bytez = myfile.read()
cl.sendall(bytez)
cl.close()#nic.disconnect()
finally:
nic.disconnect()
#############
Now load this code is ‘main.py’, aswell as ‘test.jpg’ and ‘favicon.ico’ on your ESP32.
As mentioned, I used ampy for this, see here:
https://pypi.org/project/adafruit-ampy/
Feel free to modify the ‘html’ variable.
Pascal
Thank you so much for sharing.
That will be useful for many of our readers.
Regards,
Sara
Thank you Rui and Sara – you are both brilliant at these tutorials …
I am looking to put images onto a WebPage that change ( just like your weather PNGs should change when the weather changes ). Just that I will want 15 locations with 2 pictures per location.
Would it be possible for you to re-visit this tutorial using the LittleFS which is SPIFFs replacement. You are also using an older style system of having a websocket for each entry ( I would need 30 websockets for my application ) – elsewhere you have introduced a brilliant indexing bit of code – with one WebSocket pushing to different IDs. It would be brilliant to have this single websocket indexing PNGs using LittleFS – I am a little confused as the “Send()” is the response back to stop the system crashing ( and in that is the actual functionality that we need ) so I am unclear how that will tie in with the indexing system that you have used elsewhere. I will try but I know that your solution will be better than mine…
Thank you in advance for your huge contributions
Greg
Hi Everybody – This is the indexing code that Rui and Sara have used elsewhere – means you can pass everything through a single websocket using the ASync websocket system :-
function onMessage(event) {var JSONobj45 = JSON.parse(event.data);
var keys = Object.keys(JSONobj45);
for (var i = 0; i < keys.length; i++){
var key = keys[i];
document.getElementById(key).innerHTML = JSONobj45[key];
}
}
Hi.
If you want to use LittleFS, you just need to replace the word “SPIFFS” with “LittleFS” in all code.
As for the other question, I didn’t understand the question. It’s a bit confusing.
Regardsm
Sara
First thanks for the great tutorial
I have two questions
Q1:
Is there any limits times to write operations that allowed to File system of ESP32 like EEPROM it about 100,000 to 1,000,000 write operations?
Q2:
How I can write/read from/to ESP32 file system from code without using “ESP32 Filesystem Uploader Plugin”?
Hi.
Yes. There is a limit. You can learn more here: https://github.com/pellepl/spiffs/wiki/FAQ#how-long-will-my-spi-flash-live
Yes, you can read and write to SPIFFS using the methods of the FS.h library, for example: https://github.com/espressif/arduino-esp32/tree/master/libraries/FS/src
Regards,
Sara
This is only a curious appointment.
There is one exception about the data life expectancy of in E2prom flash, the radiation.
The electronics devices must be hardened in order to stand the high radiation in space.
One of the famous corruption of data in the memory of an spaceship happened in Voyager, all is related in an article of Spanish magazine Investigacion y Ciencia , probably in year 1987 or so. In this case the memory was a bubble memory.
One of the bits of the memory changed from 0 to 1 due to space radiation, the result was a black signal in all the photos , NASA recover the signal after ,checking the memory onboard the voyager , sending all to earth and comparing with the original copy, finally recover the fotos inverting this bit.
In the exploration of Mars ,the Sojourner suffered the corruption of its flash memory and had to rewritten from earth.
We live in a marvelous planet with several layers of proteccion against external radiation, Magnetic field, Ozono and so.
Something that the Moon an Mars do not have . But sometimes there are Solar storms , like the Carrinton event, and others.
The orbit of the ISS avoids the South Atlantic Anomaly of the magnetic field of the earth, in order to protect from high radiation to the astronauts.
One last thing there is a Space Wheather Forecast in order to prevent the loss of comunicaction during these events.
Best Regards
Hi.
Thank for sharing that.
Such interesting information. I had absolutely no idea about this.
I learned something new today.
Thank you.
Regards,
Sara
Hi,
I’m sorry for my amateur question.
How do I change this:
server.on(“/sun”, HTTP_GET, [](AsyncWebServerRequest *request){
request->send(SPIFFS, “/sun.png”, “image/png”);
});
so that it’s possible use string variables instead “/sun” and “/sun.png” ? I mean to replace lambda form on few functions. If it possible in this case of course.
Best regards.
Yes.
You can use string variables instead.
Regards,
Sara
Hi Sara,
thank you for your answer.
I’ve tried:
String pic = “/sun”;
String pic_ = “/sun.png”;
server.on(pic.c_str(), HTTP_GET, [](AsyncWebServerRequest *request){
request->send(SPIFFS, pic_.c_str(), “image/png”);
});
And arduino ide say me:
C:\Users\stass\AppData\Local\Temp.arduinoIDE-unsaved202353-16856-f2m8gn.71yo\sketch_jun3a\sketch_jun3a.ino: In lambda function:
C:\Users\stass\AppData\Local\Temp.arduinoIDE-unsaved202353-16856-f2m8gn.71yo\sketch_jun3a\sketch_jun3a.ino:70:27: error: ‘pic_’ is not captured
request->send(SPIFFS, pic_.c_str(), “image/png”);
^~~~
C:\Users\stass\AppData\Local\Temp.arduinoIDE-unsaved202353-16856-f2m8gn.71yo\sketch_jun3a\sketch_jun3a.ino:69:37: note: the lambda has no capture-default
server.on(pic.c_str(), HTTP_GET, [](AsyncWebServerRequest *request){
^
C:\Users\stass\AppData\Local\Temp.arduinoIDE-unsaved202353-16856-f2m8gn.71yo\sketch_jun3a\sketch_jun3a.ino:68:10: note: ‘String pic_’ declared here
String pic_ = “/sun.png”;
^~~~
exit status 1
Compilation error: ‘pic_’ is not captured
But issue can be solved if use [=] instead [] in lambda.
Can someone come in handy.
Best Regards,
Stabislav
Dear StanislavS:
I had same problem time ago please use a short path to your files
server.on(pic.c_str(), HTTP_GET, [](AsyncWebServerRequest *request){
request->send(SPIFFS, pic_.c_str(), “image/png”
I do not us the base64 method often as it makes the programs a bit complicated to read, but as I just now quickly needed to insert a picture in a ‘remote’ ESP through OTA, it was quickest to use base64, so I came back to this tutorial, inserted my pic and got all sorts of unexplainable compilation errors.
Long story short: It got solved by using single quotes (‘) rather than double quotes (“) around the base64 code.
After creating a remote sensor/webserver for my wifes greenhouse, I wanted to do some upgrades. Since that time SPIFFS has been deprecated, and LittleFS is not supported in the 2.XX versions of Arduino IDE. So I then turned to VScode/PlatformIO for the IDE only to find there were not libraries for the ESP8266 version of LittleFS. I really don’t want to get into Base64 code. Where does that leave me, other than rolling back to an earlier version of the Arduino IDE?
See comments in this thread: https://randomnerdtutorials.com/install-esp8266-nodemcu-littlefs-arduino/#comment-885378
Tools > ESP32 Data Sketch Upload not supported in IDE 2.x
How else can I load a gif into my esp32 for my webserver code to display?
Sara:
Trying to load a stored image in little FS and set the image as the HTML backround. Tried numerous HTML code and cant get it to display as WebServer backround. Can you provide a code snippet?
Hi.
We have this web server project, in which we set an image as a background. You can take a look and see if you can adapt it.
https://randomnerdtutorials.com/esp32-lora-sensor-web-server/
Regards,
Sara