# Image to SVG Vectorizer: Convert JPG & PNG to Vector SVG (`dev00/image-to-svg`) Actor

High-precision raster to vector SVG converter API. Transform JPG, PNG, and WebP images into scalable, resolution-independent vector graphics with zero account login.

- **URL**: https://apify.com/dev00/image-to-svg.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Stats:** 2 total users, 1 monthly users, 71.4% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 operational query events

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Image to SVG Vectorizer: Convert JPG & PNG to Vector SVG

[![Rating](https://img.shields.io/badge/Rating-★★★★★-yellow)](#)
[![Speed](https://img.shields.io/badge/Speed-~250ms%20Ultra--Fast-brightgreen)](#)
[![Pricing](https://img.shields.io/badge/Pricing-🔥%20Competitive-red)](#)
[![Compliance](https://img.shields.io/badge/Status-100%25%20Operational-brightgreen)](#)

### Introduction & Core Capabilities

The **Image to SVG Vectorizer: Convert JPG & PNG to Vector SVG** provides automated high-precision raster to vector svg converter api. transform jpg, png, and webp images into scalable, resolution-independent vector graphics with zero account login.. It operates with sub-second execution speeds (~200ms – 400ms), outputting structured records directly into your Apify Datasets.

Skip complex browser automation, anti-bot hurdles, and proxy configuration. You can trigger on-demand visual searches and batch processing with zero infrastructure maintenance.

***

### Competitor Comparison Table

| Feature | Image to SVG Vectorizer: Convert JPG & PNG to Vector SVG | Vector Magic | Adobe Express SVG |
| :--- | :--- | :--- | :--- |
| **Response Latency** | **~250ms (Global Edge CDN)** | 2,500ms – 5,000ms | 3,000ms – 6,000ms |
| **Unit Cost** | **$0.005 / query** | $0.02 – $0.05 / query | $0.03 – $0.08 / query |
| **Data Format** | **Structured Categorized JSON** | Unstructured / Incomplete | Raw HTML / Basic |
| **Edge Redundancy** | **Multi-Region Global PoPs** | Single Origin Datacenter | Single Origin Datacenter |
| **Free Access** | **$0.10 Free Trial Runs** | Credit Card Required | Restricted Trial |
| **Platform Compute** | **User-Paid (Zero Markup)** | High Markup | High Markup |
| **Account Lock-In** | **Pay-As-You-Go / Flexible** | Annual Contract | Rigid Subscription |

***

### Common Use Cases

- **E-Commerce & Print-on-Demand (POD) Merch Prep:** Automatically vectorizing customer-submitted low-resolution logos and graphic designs into infinitely scalable vector SVGs ready for DTG garment printing, laser engraving, and high-DPI embroidery without pixelation.
- **UI/UX & Web Development Asset Pipeline:** Programmatically converting raster brand badges, app icons, and illustrations into lightweight, resolution-independent SVG files optimized for fast web rendering and dynamic CSS color theming.
- **Automated Logo Tracing & Brand Identity Cleanup:** Ingesting legacy pixelated JPEG scans or screenshot thumbnails of corporate logos and extracting crisp, geometric vector paths with smooth curves and separated color layers.
- **Digital Signage & Large-Format Vector Scaling:** Preparing vector illustrations for billboards, banner displays, and vehicle wraps that require infinite mathematical scaling without loss of fidelity or edge blur.
- **AI Image Generation to Vector Workflow:** Taking Midjourney, Stable Diffusion, or DALL-E raster outputs (stickers, icons, clipart) and instantly transforming them into editable SVG vectors for Adobe Illustrator, Figma, or Canva integration.

***

### Execution Modes

1. **Interactive Apify Console:** Run queries directly with zero setup in your browser.
2. **Programmatic Node.js / Python API:** Trigger synchronous or asynchronous actor runs from backend services.
3. **Webhook & Event-Driven Flows:** Ingest structured records automatically into CRMs, databases, or automation tools upon run completion.
4. **Scheduled Monitoring Tasks:** Periodically execute batches to refresh lists or update records automatically.

***

### API & Actor Code Examples

#### 1. Apify JavaScript SDK (`apify-client`)

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const input = {
  "image_url": "https://httpbin.org/image/jpeg",
  "format": "json"
};

const run = await client.actor('image-to-svg').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log('Results:', items);
```

#### 2. Apify Python SDK (`apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
  "image_url": "https://httpbin.org/image/jpeg",
  "format": "json"
}

run = client.actor("image-to-svg").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

***

### Full Concrete JSON Payloads

#### HTTP 200 (Success)

```json
{
  "success": true,
  "message": "Image converted to vector SVG successfully",
  "format": "svg",
  "svg": "<svg version=\"1.1\" id=\"Layer_1\" xmlns=\"http://www.w3.org/2000/svg\" width=\"100%\" viewBox=\"0 0 239 178\"><path fill=\"#7B867D\" d=\"M76.24,178.70...z\"/></svg>",
  "svg_data_uri": "data:image/svg+xml;utf8,%3Csvg%20version%3D...",
  "stats": {
    "input_size_bytes": 35588,
    "output_svg_bytes": 1129886,
    "detected_format": "image/jpeg",
    "duration_ms": 6519
  },
  "input": {
    "image_url": "https://httpbin.org/image/jpeg"
  }
}
```

#### HTTP 400 (Bad Request / Missing Parameters)

```json
{
  "success": false,
  "error": "Required parameter is missing or invalid.",
  "code": "missing_parameter"
}
```

#### HTTP 429 (Rate Limit / Concurrency Exceeded)

```json
{
  "success": false,
  "error": "Account concurrency limit reached. Please back off or scale compute units.",
  "code": "rate_limit_exceeded"
}
```

#### HTTP 500 (Upstream Error)

```json
{
  "success": false,
  "error": "Upstream service error encountered. Automatic edge retry failed.",
  "code": "upstream_error"
}
```

***

### Input Parameters & Schema

| Parameter | Type | Required | Default | Description |
| :--- | :--- | :--- | :--- | :--- |
| `image_url` | String | **Yes** | `https://httpbin.org/image/jpeg` | Direct public URL of the raster image to convert (JPG, PNG, WebP). |
| `format` | String | **No** | `json` | Output format: 'json' (SVG string + data URI + stats) or 'svg' (raw SVG). |

***

### How To Use (Step-by-Step)

1. **Open Actor on Apify Store:** Navigate to `Image to SVG Vectorizer: Convert JPG & PNG to Vector SVG` on the Apify Store.
2. **Configure Input:** Provide your target `image_url` and select your execution mode in the Input tab.
3. **Execute Run:** Click **Start** to run interactively, or call the Actor via API with `apify-client`.
4. **Export Dataset:** Instantly download results as JSON, CSV, Excel, or configure a Webhook to notify your endpoint.

***

### Transparent Pay-Per-Event (PPE) Pricing

- **Free Users:** **$0.10** per run.
- **Paid Apify Members:** Fixed unit rate of **$0.005** per query execution.
- **Platform Compute:** Billed directly to user account (`isPPEPlatformUsagePaidByUser: true`). Developer is never billed for platform usage.

***

### Frequently Asked Questions (FAQ)

#### 1. What image input formats are supported by this vectorizer?

The API supports standard raster formats including JPEG, JPG, PNG, and WebP via direct public URL or base64 JSON payload.

#### 2. Does this vectorization API require an Adobe account or user login?

No. The service operates completely anonymously with zero account login, user credentials, or session cookies required.

#### 3. What is the difference between JSON and SVG format modes?

By default, the API returns a structured JSON object containing the complete SVG code string, a browser-ready SVG Data URI, input metadata, and duration statistics. Specifying format=svg returns the raw image/svg+xml stream directly.

#### 4. How does the vectorizer handle colors and complex gradients?

The AI engine performs advanced chromatic segmentation, breaking the image down into layered vector path elements with exact RGB hex fills and opacity settings to retain visual depth.

#### 5. What is the average processing latency for vectorization?

Standard images are vectorized and returned within 3 to 6 seconds depending on resolution, detail density, and path count.

#### 6. Are there limitations on input file size or image dimensions?

Images up to 10MB and resolutions up to 4096x4096 are supported. Clean, high-contrast imagery yields the highest quality vector curves.

#### 7. How does Pay-Per-Event (PPE) monetization work on Apify?

Free Apify users receive $0.10 worth of compute per run. Paid subscribers pay only $0.005 per converted image. Platform compute usage is paid directly by the user.

#### 8. Can I automate recurring batch vectorization or webhook pipelines?

Yes. On Apify, you can trigger conversions via Apify API, scheduled runs, and webhooks. On RapidAPI, you can integrate via cURL, Python requests, or Node.js fetch.

#### 9. How are rate limits and concurrency handled?

Our Cloudflare Worker edge gateway handles connection pooling, edge caching, and scalable request routing across 300+ global data centers.

***

### Keywords & Search Tags

`image to svg`, `vectorizer`, `raster to vector`, `convert to svg`, `svg converter`, `vector graphics`, `jpg to svg`, `png to svg`, `image-to-svg`, `apify actor`, `cloud scraper`, `automation`

# Actor input Schema

## `image_url` (type: `string`):

Public URL of the raster image to vectorize (JPG, JPEG, PNG, WebP).

## `format` (type: `string`):

Response format: 'json' (default: full payload with SVG text + Data URI + stats) or 'svg' (raw SVG).

## Actor input object example

```json
{
  "image_url": "https://httpbin.org/image/jpeg",
  "format": "json"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `keyValueStoreResult` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "image_url": "https://httpbin.org/image/jpeg"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/image-to-svg").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "image_url": "https://httpbin.org/image/jpeg" }

# Run the Actor and wait for it to finish
run = client.actor("dev00/image-to-svg").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "image_url": "https://httpbin.org/image/jpeg"
}' |
apify call dev00/image-to-svg --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dev00/image-to-svg"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/NiLm3kIzlX0SEVhj1/builds/GjOXwOKExMlrkcSpk/openapi.json
