# Convert To Vector (`datavault/convert-to-vector`) Actor

Convert raster images (PNG, JPG, WEBP) into high-quality SVG vectors in seconds. Perfect for logo vectorization, icon conversion, and illustration tracing, with clean paths, accurate colors, and a results ready for web, print, and manufacturing.

- **URL**: https://apify.com/datavault/convert-to-vector.md
- **Developed by:** [Datavault](https://apify.com/datavault) (community)
- **Categories:** Automation, Other, Developer tools
- **Features:** Limited permissions
- **Stats:** 16 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 convert images

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 Vector Actor

Transform your bitmaps (PNG, JPG, WEBP) into high-quality, scalable SVG vectors. This actor is optimized for logos, icons, and illustrations, providing clean paths and accurate color reproduction with professional-grade results.

### Key Features

- **Professional Tracing**: Uses advanced algorithms to produce clean, sharp SVG paths suitable for professional design work.
- **Batch Processing**: Convert multiple images in a single run by providing a list of URLs.
- **Full Color Support**: Convert images with up to 256 colors. Each color is traced as a separate high-fidelity layer.
- **High-Contrast B\&W**: Optimized for generating silhouettes, masks, and stencil-ready vectors.
- **Artifact-Free Encoding**: Custom PGM-based processing ensures perfect pixel alignment, eliminating the "swoosh" artifacts or shearing common in basic converters.
- **Transparency Aware**: Smart background detection automatically handles transparency and can skip solid white backgrounds for clean, stand-alone vectors.

### Use Cases

- **Logo Vectorization**: Convert low-resolution logos into scalable, print-ready formats.
- **Icon Design**: Turn raster icons into lightweight SVGs for web and mobile development.
- **Stencils & Manufacturing**: Create clean B\&W paths for laser cutting, plotting, or CNC.
- **Digital Art**: Rapidly vectorize sketches and illustrations for further editing in tools like Adobe Illustrator or Figma.

### Input Parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `imageUrls` | Array | (Required) | A list of image URLs you want to convert. For a single image, provide a list with one URL. |
| `maxColors`| Integer | (Optional) | If set, performs color vectorization with up to the specified number of colors (2-256). Omit for high-contrast B\&W. |
| `threshold`| Integer | 128 | Luma threshold for B\&W mode (0-255). Higher values result in thicker/darker paths. |

### Output

The actor provides:

1. **OUTPUT.svg**: The final vectorized file, saved in the default Key-Value Store.
2. **Dataset Record**: Metadata for each run, including:
   - `imageUrl`: Link to the source image.
   - `svgUrl`: Direct link to your generated SVG.
   - `svgSize`: Final file size in bytes.
   - `convertedAt`: Timestamp of the operation.

# Actor input Schema

## `imageUrls` (type: `array`):

The list of image URLs to convert to SVG.

## `threshold` (type: `integer`):

Luma threshold (0-255) for black & white conversion. Higher values make the image darker. Default is 128.

## `maxColors` (type: `integer`):

If set, performs color quantization with this many colors (e.g., 8, 16). Omit for black & white.

## `useOriginalNames` (type: `boolean`):

If true, the output SVGs will use the filename from the URL (e.g., logo.svg). If false, it uses OUTPUT_X.svg.

## Actor input object example

```json
{
  "imageUrls": [
    "https://www.python.org/static/community_logos/python-logo-master-v3-TM.png"
  ],
  "threshold": 128,
  "maxColors": 16,
  "useOriginalNames": false
}
```

# 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 = {
    "imageUrls": [
        "https://www.python.org/static/community_logos/python-logo-master-v3-TM.png"
    ],
    "maxColors": 16
};

// Run the Actor and wait for it to finish
const run = await client.actor("datavault/convert-to-vector").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 = {
    "imageUrls": ["https://www.python.org/static/community_logos/python-logo-master-v3-TM.png"],
    "maxColors": 16,
}

# Run the Actor and wait for it to finish
run = client.actor("datavault/convert-to-vector").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 '{
  "imageUrls": [
    "https://www.python.org/static/community_logos/python-logo-master-v3-TM.png"
  ],
  "maxColors": 16
}' |
apify call datavault/convert-to-vector --silent --output-dataset

```

## MCP server setup

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

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/hpXc1WA1uhtBdxPaZ/builds/QtMcBh7mwgesoyKq5/openapi.json