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ideogram-ai/ideogram-vector/image-to-vector

Ideogram Vector Image-to-Vector converts images into editable SVG graphics, with detailed and simplified modes for logos, icons, and illustrations. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Image Editing
Input

Drag & drop or click to upload

Idle

$0.11per run·~90 / $10

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README

Ideogram Vector Image-to-Vector

Ideogram Vector Image-to-Vector converts an existing image into editable SVG artwork. Use it to turn raster images into scalable vector graphics while keeping the overall structure and style of the source image.

Why Choose This?

  • Image-to-SVG conversion — Turn an existing image into editable vector artwork.
  • Two conversion modes — Choose between higher detail or a simpler, cleaner result.
  • Scalable graphics — Resize the SVG freely without raster pixelation.
  • Simple workflow — Upload one image, choose a mode, and generate.

Parameters

ParameterRequiredDescription
imageYesSource image to convert. Supports JPEG, PNG, and WebP, up to 50 MB.
modeNoConversion mode: default preserves finer details, while simple uses fewer and simpler shapes. Default: default.

How to Use

  1. Upload an image — Provide the source image you want to convert.
  2. Choose a mode — Use default for more detail or simple for a cleaner result.
  3. Submit — Generate and download the SVG output.

Pricing

$0.11 per generated SVG.

The price is the same for both default and simple modes.

Best Use Cases

  • Raster logo conversion — Convert existing logo images into editable vector artwork.
  • Scalable icons — Turn small raster graphics into SVG assets.
  • Illustration cleanup — Rebuild simple artwork in vector form.
  • Design workflows — Prepare editable graphics for further refinement.

Pro Tips

  • Start with a clear, high-quality source image for the best result.
  • Use default mode when finer details are important.
  • Use simple mode when you want fewer shapes and a cleaner design.
  • Review the output before production use, especially around text and small details.

Notes

  • Only one input image is supported per request.
  • Supported formats are JPEG, PNG, and WebP.
  • The maximum input file size is 50 MB.
  • No text prompt is required or supported.
  • Each request generates one SVG.
  • Fine details may be simplified during conversion, so manual cleanup may still be useful for production workflows.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Ideogram Vector Image To Vector API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-vector/image-to-vector with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Ideogram Vector Image To Vector below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "mode": "default"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-vector/image-to-vector" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-vector/image-to-vector";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "mode": "default"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "mode": "default"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-vector/image-to-vector", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Ideogram Vector Image To Vector API — Frequently asked questions

What is the Ideogram Vector Image To Vector API?

Ideogram Vector Image To Vector is a Ideogram model for image editing, exposed as a REST API on WaveSpeedAI. Ideogram Vector Image-to-Vector converts images into editable SVG graphics, with detailed and simplified modes for logos, icons, and illustrations. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Ideogram Vector Image To Vector API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/ideogram-ai/ideogram-ai-ideogram-vector-image-to-vector.

How much does Ideogram Vector Image To Vector cost per run?

Ideogram Vector Image To Vector starts at $0.11 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Ideogram Vector Image To Vector accept?

Key inputs: `image`, `mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/ideogram-ai/ideogram-ai-ideogram-vector-image-to-vector.

How do I get started with the Ideogram Vector Image To Vector API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Ideogram Vector Image To Vector outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Ideogram). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.

llms.txt — ideogram-ai/ideogram-vector/image-to-vector for AI agents and LLMs