# Image Vectorizer — JPG & PNG to SVG (`vero-api/img-vectorizer`) Actor
Turn any image, logo, or icon (PNG, JPG, GIF, BMP, WebP) into a clean, scalable SVG. Perfect for logos and icons. Get crisp vector paths and the color palette, ready to download.
- **URL**: https://apify.com/vero-api/img-vectorizer.md
- **Developed by:** [Veronica](https://apify.com/vero-api) (community)
- **Categories:** AI, Developer tools, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $45.00 / 1,000 vectorized images
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Image Vectorizer — PNG & JPG to SVG
Turn any raster image into a clean, scalable SVG. Drop in a logo or icon and get crisp vector paths you can resize to any dimension without losing quality.
### What you can do
- Convert PNG, JPG, GIF, BMP, and WebP images to SVG.
- Get razor-sharp logos and icons that scale to any size.
- Receive a ready-to-download SVG file plus the full markup and color palette.
- Process many images in one run.
### How to use it
1. Add one or more image URLs.
2. Click **Start**.
3. Download each result as an SVG file, or grab the data as JSON, CSV, or Excel.
### What you get
One row per image, with a download link to the SVG, the SVG markup itself, the dimensions, and the color palette.
```json
{
"imageUrl": "https://example.com/logo.png",
"svgUrl": "https://api.apify.com/v2/key-value-stores/ABC/records/001-logo.svg",
"svg": "",
"width": 240,
"height": 240,
"colors": ["#ffffff", "#24292e"]
}
````
### Real-time API
Need vectors on demand? Turn on **Standby mode** and call the actor like a live API — one image per request, instant SVG back. Send an image URL, or upload the image file directly.
https://www.youtube.com/watch?v=SERhgETl0mw
Every request needs your Apify token, passed as a `Bearer` token (or a `?token=` query param).
**By URL — JSON response (default):**
```bash
curl -X POST "https://vero-api--img-vectorizer.apify.actor/" \
-H "Authorization: Bearer " \
-H "Content-Type: application/json" \
-d '{"imageUrl": "https://example.com/logo.png"}'
```
**By URL — raw SVG file (`?format=svg`):**
```bash
curl -X POST "https://vero-api--img-vectorizer.apify.actor/?format=svg" \
-H "Authorization: Bearer " \
-H "Content-Type: application/json" \
-d '{"imageUrl": "https://example.com/logo.png"}' \
-o logo.svg
```
**Upload the image file directly:**
```bash
curl -X POST "https://vero-api--img-vectorizer.apify.actor/?format=svg" \
-H "Authorization: Bearer " \
-H "Content-Type: image/png" \
--data-binary @logo.png \
-o logo.svg
```
The default response is JSON with the SVG, palette, and dimensions. Add `format=svg` to get the raw SVG file — perfect for wiring straight into your app.
### Pricing
You pay only for the images you vectorize — no subscriptions, no surprises.
### FAQ
**Which images work best?** Logos, icons, and flat graphics give the cleanest, sharpest results.
**What formats can I upload?** PNG, JPG, GIF, BMP, and WebP.
**Can I resize the SVG afterward?** Yes — SVGs scale to any size with no loss of quality.
# Actor input Schema
## `imageUrls` (type: `array`):
Paste the links to the images you want to turn into SVG. Works with PNG, JPG, GIF, BMP, and WebP. Best results come from logos, icons, and other flat graphics.
## Actor input object example
```json
{
"imageUrls": [
"https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"
]
}
```
# Actor output Schema
## `results` (type: `string`):
No description
## `svgFiles` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"imageUrls": [
"https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("vero-api/img-vectorizer").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "imageUrls": ["https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"] }
# Run the Actor and wait for it to finish
run = client.actor("vero-api/img-vectorizer").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"imageUrls": [
"https://www.google.com/images/branding/googlelogo/2x/googlelogo_color_272x92dp.png"
]
}' |
apify call vero-api/img-vectorizer --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=vero-api/img-vectorizer",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Image Vectorizer — JPG & PNG to SVG",
"description": "Turn any image, logo, or icon (PNG, JPG, GIF, BMP, WebP) into a clean, scalable SVG. Perfect for logos and icons. Get crisp vector paths and the color palette, ready to download.",
"version": "0.1",
"x-build-id": "8KHT2SZCuLs6QJQV8"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/vero-api~img-vectorizer/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-vero-api-img-vectorizer",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/vero-api~img-vectorizer/runs": {
"post": {
"operationId": "runs-sync-vero-api-img-vectorizer",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/vero-api~img-vectorizer/run-sync": {
"post": {
"operationId": "run-sync-vero-api-img-vectorizer",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"imageUrls"
],
"properties": {
"imageUrls": {
"title": "Image URLs",
"minItems": 1,
"type": "array",
"description": "Paste the links to the images you want to turn into SVG. Works with PNG, JPG, GIF, BMP, and WebP. Best results come from logos, icons, and other flat graphics.",
"items": {
"type": "string"
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```