diff --git a/source/_docs/energy/gas.markdown b/source/_docs/energy/gas.markdown
index ec9b6ebbf10..197b665e905 100644
--- a/source/_docs/energy/gas.markdown
+++ b/source/_docs/energy/gas.markdown
@@ -31,4 +31,4 @@ We have worked with creator [Marcel Zuidwijk](https://www.zuidwijk.com) to devel
 
 #### Read the Gas Meter using a magnetometer
 
-[Diaphragm/bellows gas meters](https://en.wikipedia.org/wiki/Gas_meter#Diaphragm/bellows_meters) are the most common type of gas meter, seen in almost all residential installations, and their movement can frequently be observed with a magnetometer. The [QMC5883L](https://esphome.io/components/sensor/qmc5883l.html) is a common and inexpensive option that ESPHome supports. A project that makes it easy to use this magnetometer and calibrate it is [this water-gas-meter project on GitHub](https://github.com/tronikos/esphome-magnetometer-water-gas-meter).
+[Diaphragm/bellows gas meters](https://en.wikipedia.org/wiki/Gas_meter#Diaphragm/bellows_meters) are the most common type of gas meter, seen in almost all residential installations, and their movement can frequently be observed with a magnetometer. The [QMC5883L](https://esphome.io/components/sensor/qmc5883l.html) and [HMC5883L](https://esphome.io/components/sensor/hmc5883l.html) are common and inexpensive options that ESPHome supports. A project that makes it easy to use these magnetometers and calibrate them is [this water-gas-meter project on GitHub](https://github.com/tronikos/esphome-magnetometer-water-gas-meter).
diff --git a/source/_docs/energy/water.markdown b/source/_docs/energy/water.markdown
index a37d5ab7914..1db39015429 100644
--- a/source/_docs/energy/water.markdown
+++ b/source/_docs/energy/water.markdown
@@ -64,7 +64,7 @@ Maybe you like to build one yourself?
 - [AI-on-the-edge-device](https://github.com/jomjol/AI-on-the-edge-device) is a project running on an ESP32-CAM and can be fully integrated into Home Assistant using the Home Assistant Discovery Functionality of MQTT. It digitalizes your gas/water/electricity meter display and provides its data in various ways.![Photo of the AI-on-the-edge-device Workflow](/images/docs/energy/ai-on-the-edge-device.jpg)
 - [watermeter](https://github.com/nohn/watermeter) running classic OCR and statistical pattern recognition on any system supporting Docker
 - [Muino water meter reader 3-phase](https://muino.nl/product/3-phase-muino-light-sensor-encoder/) Using the 3-phase sensor technique, a battery-powered version can be possible with this sensor.
-- [Read water meter with magnetometer](https://github.com/tronikos/esphome-magnetometer-water-gas-meter) using [QMC5883L](https://esphome.io/components/sensor/qmc5883l.html), a common and inexpensive magnetometer. This should be compatible with all the water meters the Flume water sensor is compatible with, which is [compatible](https://help.flumewater.com/en/articles/1618594-is-the-flume-device-compatible-with-all-water-meters) with about 95% of water meters in the United States.
+- [Read water meter with magnetometer](https://github.com/tronikos/esphome-magnetometer-water-gas-meter) using [QMC5883L](https://esphome.io/components/sensor/qmc5883l.html) or [HMC5883L](https://esphome.io/components/sensor/hmc5883l.html), common and inexpensive magnetometers. This should be compatible with all the water meters the Flume water sensor is compatible with, which is [compatible](https://help.flumewater.com/en/articles/1618594-is-the-flume-device-compatible-with-all-water-meters) with about 95% of water meters in the United States.
 
 If you manually integrate your sensors, for example, using the [MQTT](/integrations/mqtt) or [RESTful](/integrations/rest) integrations: Make sure you set and provide the `device_class`, `state_class`, and `unit_of_measurement` for those sensors.