Furniture Try-On API Documentation
Base URL:
https://api.ideal.house
Version: v1
Updated: 2026-03-09
π Overview
The Furniture Try-On API allows you to virtually place furniture items into a room scene using AI. You provide a room image and a list of furniture items (each with an image and product ID), and the AI seamlessly composites the furniture into the scene. The workflow is asynchronous and involves two steps:
- Create a task β Submit your room image and furniture list, then receive a
taskId. - Poll for results β Use the
taskIdto query task status and retrieve the generated image.
π Note: Currently, only
creativemode is supported.
π Authentication
All API requests must be authenticated using an API Key.
Include your API Key in the request header:
| Header | Value |
|---|---|
APIKEY | your_api_key_here |
β οΈ Keep your API Key secure. Do not expose it in client-side code or public repositories.
π° Credits Deduction
[!WARNING] πͺ Credits are deducted based on the selected
modelTypeupon successful task creation. If the task ultimately fails, the deducted credits will be automatically refunded to your account.
Insufficient credits will return error code9051. π See Credits Deduction Reference.
Model (modelType) | Credits Deducted |
|---|---|
Base | 3 credits |
Pro | 10 credits |
π API Endpoints
1. Create Furniture Try-On Task
Creates a new AI furniture try-on task and returns a unique taskId for polling.
Endpoint
POST /api/v1/furnitureTryOn/generate
Request Headers
| Header | Required | Description |
|---|---|---|
APIKEY | β Yes | Your API authentication key |
Content-Type | β Yes | application/json |
Request Body
| Field | Type | Required | Description |
|---|---|---|---|
imageUrl | string | β Yes | URL of the room scene image into which furniture will be placed |
furnitureList | array | β Yes | List of furniture items to place in the scene. Maximum 6 items. See Furniture Item Object |
prompt | string | β Optional | Custom text prompt to further guide the placement and styling |
modelType | string | β Optional | Model quality type. Enum: Base, Pro. Defaults to Base |
ποΈ Furniture Item Object
Each item in furnitureList must be an object with the following fields:
| Field | Type | Required | Description |
|---|---|---|---|
imageUrl | string | β Yes | URL of the furniture product image (with transparent or clean background recommended) |
β οΈ
furnitureListcan contain a maximum of 6 items.
Example
"furnitureList": [
{
"imageUrl": "https://example.com/sofa.png"
},
{
"imageUrl": "https://example.com/table.png"
}
]
Model Types
| Value | Description |
|---|---|
Base | Default. Balanced speed and quality |
Pro | Higher quality output, slower processing |
π₯ Request Examples
cURL
# Basic request (Base model)
curl -X POST "https://api.ideal.house/api/v1/furnitureTryOn/generate" \
-H "APIKEY: your_api_key_here" \
-H "Content-Type: application/json" \
-d '{
"imageUrl": "https://example.com/living-room.jpg",
"furnitureList": [
{
"imageUrl": "https://example.com/sofa.png"
},
{
"imageUrl": "https://example.com/coffee-table.png"
}
],
"prompt": "modern minimalist style"
}'
# Pro model
curl -X POST "https://api.ideal.house/api/v1/furnitureTryOn/generate" \
-H "APIKEY: your_api_key_here" \
-H "Content-Type: application/json" \
-d '{
"imageUrl": "https://example.com/living-room.jpg",
"furnitureList": [
{
"imageUrl": "https://example.com/sofa.png"
}
],
"prompt": "Scandinavian interior with warm lighting",
"modelType": "Pro"
}'
Java (OkHttp)
import okhttp3.*;
import java.io.IOException;
public class FurnitureTryOnApiExample {
private static final String BASE_URL = "https://api.ideal.house";
private static final String API_KEY = "your_api_key_here";
public static void main(String[] args) throws IOException {
OkHttpClient client = new OkHttpClient();
String requestBody = """
{
"imageUrl": "https://example.com/living-room.jpg",
"furnitureList": [
{
"imageUrl": "https://example.com/sofa.png"
},
{
"imageUrl": "https://example.com/coffee-table.png"
}
],
"prompt": "modern minimalist style",
"modelType": "Base"
}
""";
Request request = new Request.Builder()
.url(BASE_URL + "/api/v1/furnitureTryOn/generate")
.addHeader("APIKEY", API_KEY)
.addHeader("Content-Type", "application/json")
.post(RequestBody.create(requestBody, MediaType.parse("application/json")))
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println("Response: " + response.body().string());
}
}
}
Python (requests)
import requests
BASE_URL = "https://api.ideal.house"
API_KEY = "your_api_key_here"
headers = {
"APIKEY": API_KEY,
"Content-Type": "application/json"
}
payload = {
"imageUrl": "https://example.com/living-room.jpg",
"furnitureList": [
{
"imageUrl": "https://example.com/sofa.png"
},
{
"imageUrl": "https://example.com/coffee-table.png"
}
],
"prompt": "modern minimalist style",
"modelType": "Base"
}
# Pro model example:
# payload = {
# "imageUrl": "https://example.com/living-room.jpg",
# "furnitureList": [
# {
# "imageUrl": "https://example.com/sofa.png"
# }
# ],
# "prompt": "Scandinavian interior with warm lighting",
# "modelType": "Pro"
# }
response = requests.post(
f"{BASE_URL}/api/v1/furnitureTryOn/generate",
headers=headers,
json=payload
)
data = response.json()
task_id = data.get("data")
print(f"Task ID: {task_id}")
Node.js (axios)
const axios = require('axios');
const BASE_URL = 'https://api.ideal.house';
const API_KEY = 'your_api_key_here';
async function createFurnitureTryOnTask() {
try {
const response = await axios.post(
`${BASE_URL}/api/v1/furnitureTryOn/generate`,
{
imageUrl: 'https://example.com/living-room.jpg',
furnitureList: [
{
imageUrl: 'https://example.com/sofa.png'
},
{
imageUrl: 'https://example.com/coffee-table.png'
}
],
prompt: 'modern minimalist style',
modelType: 'Base'
// Pro model:
// modelType: 'Pro'
},
{
headers: {
'APIKEY': API_KEY,
'Content-Type': 'application/json'
}
}
);
const taskId = response.data.data;
console.log('Task ID:', taskId);
return taskId;
} catch (error) {
console.error('Error:', error.response?.data || error.message);
}
}
createFurnitureTryOnTask();
π€ Response
Success Response
{
"code": 0,
"message": "success",
"data": 1234567890123456789
}
| Field | Type | Description |
|---|---|---|
code | integer | 0 indicates success |
message | string | Response message |
data | long | The unique task ID for polling results |
2. Get Task Result
Retrieves the current status and output of a previously created furniture try-on task.
Endpoint
GET /api/v1/furnitureTryOn/result
Request Headers
| Header | Required | Description |
|---|---|---|
APIKEY | β Yes | Your API authentication key |
Query Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
taskId | long | β Yes | The task ID returned from the create task endpoint |
π₯ Request Examples
cURL
curl -X GET "https://api.ideal.house/api/v1/furnitureTryOn/result?taskId=1234567890123456789" \
-H "APIKEY: your_api_key_here"
Java (OkHttp)
import okhttp3.*;
import java.io.IOException;
public class FurnitureTryOnResultExample {
private static final String BASE_URL = "https://api.ideal.house";
private static final String API_KEY = "your_api_key_here";
public static void main(String[] args) throws IOException {
OkHttpClient client = new OkHttpClient();
long taskId = 1234567890123456789L;
Request request = new Request.Builder()
.url(BASE_URL + "/api/v1/furnitureTryOn/result?taskId=" + taskId)
.addHeader("APIKEY", API_KEY)
.get()
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println("Response: " + response.body().string());
}
}
}
Python (requests)
import requests
import time
BASE_URL = "https://api.ideal.house"
API_KEY = "your_api_key_here"
headers = {
"APIKEY": API_KEY
}
task_id = 1234567890123456789
# Poll until task is complete
while True:
response = requests.get(
f"{BASE_URL}/api/v1/furnitureTryOn/result",
headers=headers,
params={"taskId": task_id}
)
data = response.json()
result = data.get("data", {})
status = result.get("status")
print(f"Status: {status}, Progress: {result.get('percentage')}%, Queue: {result.get('waitNumber')}")
if status in ("Success", "Failed"):
break
time.sleep(3) # Poll every 3 seconds
if status == "Success":
output = result["output"]
print("Result URL:", output["resultUrl"])
print("Matched Items:", output.get("items", []))
else:
print("Task ended with status:", status)
Node.js (axios)
const axios = require('axios');
const BASE_URL = 'https://api.ideal.house';
const API_KEY = 'your_api_key_here';
async function pollResult(taskId) {
const headers = { 'APIKEY': API_KEY };
while (true) {
const response = await axios.get(
`${BASE_URL}/api/v1/furnitureTryOn/result`,
{
headers,
params: { taskId }
}
);
const result = response.data.data;
const { status, percentage, waitNumber } = result;
console.log(`Status: ${status} | Progress: ${percentage}% | Queue: ${waitNumber}`);
if (['Success', 'Failed'].includes(status)) {
if (status === 'Success') {
console.log('Result URL:', result.output.resultUrl);
console.log('Matched Items:', result.output.items);
} else {
console.log('Task ended with status:', status);
}
break;
}
// Wait 3 seconds before next poll
await new Promise(resolve => setTimeout(resolve, 3000));
}
}
pollResult(1234567890123456789n);
π€ Response
Success Response (Task Completed)
{
"code": 0,
"message": "success",
"data": {
"id": 1234567890123456789,
"status": "Success",
"waitNumber": 0,
"percentage": 100,
"input": {
"imageUrl": "https://example.com/living-room.jpg",
"furnitureList": [
{
"imageUrl": "https://example.com/sofa.png"
},
{
"imageUrl": "https://example.com/coffee-table.png"
}
],
"prompt": "modern minimalist style",
"modelType": "Base"
},
"output": {
"resultUrl": "https://cdn.ideal.house/output/furniture_try_on_result.jpg",
"width": 1024,
"height": 1024
}
}
}
Response (Task Processing / In Queue)
{
"code": 0,
"message": "success",
"data": {
"id": 1234567890123456789,
"status": "Processing",
"waitNumber": 1,
"percentage": 45,
"input": {
"imageUrl": "https://example.com/living-room.jpg",
"furnitureList": [
{
"imageUrl": "https://example.com/sofa.png"
}
],
"prompt": "modern minimalist style",
"modelType": "Base"
},
"output": null
}
}
Response (Task Failed)
{
"code": 0,
"message": "success",
"data": {
"id": 1234567890123456789,
"status": "Failed",
"waitNumber": 0,
"percentage": 0,
"input": {
"imageUrl": "https://example.com/living-room.jpg",
"furnitureList": [
{
"imageUrl": "https://example.com/sofa.png"
}
],
"modelType": "Base"
},
"output": null
}
}
Response Fields
| Field | Type | Description |
|---|---|---|
id | long | Task unique identifier |
status | string | Current task status (see Task Status) |
waitNumber | integer | Number of tasks ahead in the queue (0 means currently processing) |
percentage | integer | Task completion percentage (0β100) |
input | object | The original input parameters of the task |
input.imageUrl | string | Room scene image URL |
input.furnitureList | array | List of furniture items submitted (max 6 items) |
input.furnitureList[].imageUrl | string | Furniture product image URL |
input.prompt | string | Custom text prompt (if provided) |
input.modelType | string | Model type used |
output | object | Generation result (only available when status is Success) |
output.resultUrl | string | URL to the generated room image with furniture placed |
output.width | integer | Output width in pixels |
output.height | integer | Output height in pixels |
π Task Status
| Status | Description |
|---|---|
Unprocessed | Task has been created but not yet started |
Processing | Task is currently being processed |
Success | Task completed successfully β output is available |
Failed | Task failed due to an error |
π‘ Polling Recommendation: Poll the result endpoint every 3β5 seconds. Avoid polling too frequently to prevent rate limiting.
β Error Responses
All error responses share the same JSON structure:
{
"code": 5002,
"message": "Invalid API Key",
"data": null
}
Error Code Reference
| Code | Name | Description | Suggested Action |
|---|---|---|---|
1001 | FAILED | Request failed (generic error) | Check the message field for specific error details |
1003 | INTERNAL_ERROR | Internal server error | Retry after a short delay; contact support if it persists |
1011 | PARAM_ERROR | Request parameter error β e.g., imageUrl or furnitureList missing, or furnitureList exceeds 6 items | Ensure both imageUrl and furnitureList are provided, non-empty, and contain no more than 6 items |
5002 | API_KEY_INVALID | Invalid or missing API Key | Ensure the APIKEY header is present and the value is correct |
9010 | SCAN_TEXT_ERROR | Text prompt failed content review | Modify the prompt to remove any sensitive or prohibited content |
9038 | PROHIBITED_CONTENT | Generated output image contains prohibited content | Adjust prompt/style/inputs and retry |
9051 | COINS_NOT_ENOUGH | Insufficient coins / credits | Top up your account credits and retry |
π For the complete list of common API error codes, refer to the Error Code Reference.
π Recommended Integration Flow
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β β
β Prepare: β
β - Room scene image URL (imageUrl) [required] β
β - Furniture list with imageUrl (max 6 items) [req'd] β
β - Optional: prompt, modelType β
β β
β 1. POST /api/v1/furnitureTryOn/generate β
β β Receive taskId β
β β
β 2. Wait 3β5 seconds β
β β
β 3. GET /api/v1/furnitureTryOn/result?taskId={taskId} β
β β Check status field β
β β
β ββββββββββββββββββββββββββββββββββββββββββββββββ β
β β status == "Unprocessed" or "Processing" β β
β β β waitNumber: position in queue β β
β β β percentage: current progress β β
β β β Repeat step 2 & 3 β β
β ββββββββββββββββββββββββββββββββββββββββββββββββ β
β β
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β β status == "Success" β β
β β β output.resultUrl: result image β β
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β β
β ββββββββββββββββββββββββββββββββββββββββββββββββ β
β β status == "Failed" β β
β β β Handle error accordingly β β
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β β
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Β© Ideal House AI β All rights reserved.