Bria Product Dimensions
Integrate
bria/product-dimensions
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/bria/product-dimensions?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/product-dimensions?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22,
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7,
},
],
"style": "default",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/product-dimensions", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "bria/product-dimensions",
"input": {
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}
}
Call the Bria Product Dimensions model (bria/product-dimensions) through the Doitong API. Docs for agents: https://doitong.com/developers/models/bria/product-dimensions.md
POST https://api.doitong.com/v1/run/bria/product-dimensions?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}
If the response status is "queued" or "running", poll GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 until it is "succeeded"; the files are in outputs[].url. POST https://api.doitong.com/v1/quote/bria/product-dimensions with the same body returns the exact price before the run.
This request: $0.04 40 API credits Run it on this page
Your new API key. It is shown only now and is already in the code and in the API key field below. Keep it secret: never put it in code that runs in a browser.
Your first result goes here
Build a request below and run it with your API key. Outputs are copied to our storage, kept forever or 7 days for free.
Build a request
Controls are generated from the model schema. The code and the price update as you change them.
/run/bria/product-dimensions?wait=20
quote → $0.04
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/bria/product-dimensions?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/bria/product-dimensions?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22,
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7,
},
],
"style": "default",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/product-dimensions", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "bria/product-dimensions",
"input": {
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
},
"wait_seconds": 20
}
}
}
Run this request
Your key stays in this browser: it is sent only to the Doitong API and saved (localStorage) only if you tick Remember. Get an API key
About Bria Product Dimensions
Takes a product `image` and at least one entry in `dimensions`, then draws labeled measurement lines around the product. Pick a `style` (default, childlike or elegant), a `title` of up to 80 characters, a background color, and a square `output_size` from 256 to 2200 pixels. Output can be png, jpeg, or a dual composite with a transparent overlay.
Parameters
title_positionoptional
proportional_linesoptional
syncoptional
imagerequired
dimensionsrequired
dimensions[].namerequired
dimensions[].valuerequired
dimensions[].unitrequired
dimensions[].positionoptional
stylerequired
titleoptional
output_sizeoptional
output_formatoptional
backgroundoptional
units_displayoptional
weightoptional
weight.valuerequired
weight.unitrequired
weight.labeloptional
capacityoptional
capacity.valuerequired
capacity.unitrequired
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "bria/product-dimensions",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 40,
"usd": "0.04",
"charged": 40,
"refunded": 0
},
"input": {
"image": "example",
"dimensions": [
{
"name": "height",
"position": "left",
"unit": "cm",
"value": 22
},
{
"name": "width_bottom",
"position": "bottom",
"unit": "cm",
"value": 7
}
],
"style": "default"
},
"output": {
"image": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768
},
"transparent_overlay": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768
}
},
"outputs": [
{
"type": "image",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Fields of output
- image
- object {url, content_type, file_name, file_size, width, height}Rendered image showing the product's dimensions.
- transparent_overlay
- object {url, content_type, file_name, file_size, width, height} | nullTransparent overlay, included only when output_format is set to dual.
Other Bria variants
More models: Image Editing
For AI agents: this page as Markdown is at https://doitong.com/developers/models/bria/product-dimensions.md. All models and guides: https://doitong.com/developers/llms.txt






