Serialize to JSON: to_json
The to_json filter converts a Python object (like a dictionary, list, string, or number) into a JSON-formatted string. This is the opposite of from_json, which parses a JSON string back into an object.
This is essential when you need to send structured data to external services. Many integrations like MQTT, REST, and webhooks expect JSON-formatted payloads. For example, you might build a dictionary with sensor data and convert it to JSON for an MQTT publish, or format a payload for a REST API call. The optional parameters let you control the output format: pretty_print adds indentation for readability, sort_keys orders the keys alphabetically, and ensure_ascii escapes non-ASCII characters.
Usage
Here’s how to use this template function. Copy any example and adjust it to your setup.
{{ {"temperature": 21.5, "humidity": 45} | to_json }}
{"temperature":21.5,"humidity":45}
Function signature
The signature is a technical summary of this template function. It shows the name of the function, the values (called parameters) it accepts, and what type of data each parameter expects (for example, a piece of text or a number).
Function parameters that have a = with a value after them are optional. If you leave them out, the default value shown is used automatically. Function parameters without a default are required.
value | to_json(
ensure_ascii: bool = False,
pretty_print: bool = False,
sort_keys: bool = False,
) -> str
Function parameters
The following parameters can be provided to this filter.
If true, all non-ASCII characters are escaped in the output. Defaults to false, which allows Unicode characters to pass through unchanged.
If true, the output is formatted with indentation for readability. Useful for debugging or displaying structured data.
Pretty-printed output
Use pretty_print to format the JSON with indentation, making it easier to read in logs or on dashboards.
{{
{"name": "Living Room", "temperature": 21.5}
| to_json(pretty_print=true)
}}
{
"name": "Living Room",
"temperature": 21.5
}
Good to know
- The output has no spaces between keys and values by default, which is ideal for MQTT or API payloads but less readable. Turn on
pretty_printfor debugging. - Values that are not JSON-serializable (like datetime objects) raise an error. Convert them to strings or numbers first.
- Dictionary keys are preserved in their original order unless you set
sort_keys=true.
Try it yourself
Ready to test this? Open Developer tools > Template, paste the example into the Template editor, and watch the result update on the right. Edit the values to see how the function adapts to your own entitiesAn entity represents a sensor, actor, or function in Home Assistant. Entities are used to monitor physical properties or to control other entities. An entity is usually part of a device or a service. [Learn more].
More examples
Real scenarios where this function comes up in automations and templates. Copy any example and adapt it to your setup.
Publish sensor data via MQTT
Build a JSON payload from sensor values and publish it to an MQTT topic.
action:
- action: mqtt.publish
data:
topic: "home/sensors/living_room"
payload: >
{{
{
"temperature": states("sensor.living_room_temperature") | float,
"humidity": states("sensor.living_room_humidity") | float,
"timestamp": now() | as_timestamp | int
} | to_json
}}
Send data to a REST API
Format a dictionary as JSON for a RESTful notification or webhook.
action:
- action: rest_command.send_data
data:
payload: >
{{
{
"event": "door_opened",
"entity": "binary_sensor.front_door",
"state": states("binary_sensor.front_door")
} | to_json
}}
Sort keys for consistent output
Use sort_keys when you need deterministic output, for example when comparing JSON strings.
{{ {"z": 1, "a": 2, "m": 3} | to_json(sort_keys=true) }}
{"a":2,"m":3,"z":1}
Still stuck?
The Home Assistant community is quick to help: join Discord for real-time chat, post on the community forum with your template and expected result, or share on our subreddit /r/homeassistant.
AI assistants like ChatGPT or Claude can also explain or fix templates when you describe what you want in plain language.
Related template functions
These functions work well alongside this one:
-
Parse JSON string: from_json - Parses a JSON string into a Python object.
-
Merge dictionaries: combine - Merges multiple dictionaries into one.