Vector AI

1 tokenTools

Export precise SVG vector drawings

Overview

Vector AI converts photos and images into clean vector drawings. The output is a simplified, line-art style rendering suitable for architectural plans, technical illustrations, or design documentation. The result can be used as a starting point for further editing in vector graphics software.

Image input

Endpoint

POST /api/v1/generate

bash

curl -X POST https://roomai.com/api/v1/generate \
  -H "Authorization: Bearer rai_live_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{"model": "vector", ...}'

Parameters

Parameter Type Required Description

model

string

Required

Must be "vector".

vector

image

string

Required

URL of the image to vectorize.

format

string

Optional

Output format.

Default: "png"

png

Request Example

json

{
  "model": "vector",
  "image": "https://example.com/room-photo.jpg"
}

Response

Success (200)

json

{
  "status": "success",
  "result": {
    "image_url": "https://storage.googleapis.com/...",
    "model": "vector",
    "tokens_used": 1,
    "processing_time_ms": 4500
  }
}

Error

json

{
  "status": "error",
  "error": {
    "code": "INSUFFICIENT_TOKENS",
    "message": "Not enough tokens",
    "required": 1,
    "balance": 0
  }
}

Code Examples

cURL

bash

curl -X POST https://roomai.com/api/v1/generate \
  -H "Authorization: Bearer rai_live_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "vector",
  "image": "https://example.com/room-photo.jpg"
}'

JavaScript / Node.js

javascript

const response = await fetch("https://roomai.com/api/v1/generate", {
  method: "POST",
  headers: {
    "Authorization": "Bearer rai_live_your_api_key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
  "model": "vector",
  "image": "https://example.com/room-photo.jpg"
}),
});

const data = await response.json();

if (data.status === "success") {
  console.log("Image URL:", data.result.image_url);
  console.log("Tokens used:", data.result.tokens_used);
} else {
  console.error("Error:", data.error.message);
}

Python

python

import requests

response = requests.post(
    "https://roomai.com/api/v1/generate",
    headers={
        "Authorization": "Bearer rai_live_your_api_key",
        "Content-Type": "application/json",
    },
    json={
  "model": "vector",
  "image": "https://example.com/room-photo.jpg"
},
)

data = response.json()

if data["status"] == "success":
    print("Image URL:", data["result"]["image_url"])
    print("Tokens used:", data["result"]["tokens_used"])
else:
    print("Error:", data["error"]["message"])

Tips

1Works best with images that have clear lines and defined shapes.
2Use the output as a base for architectural floor plans or design concept sketches.
3Photos with good lighting and contrast produce cleaner vector conversions.