Manual image-to-SVG conversion works when you have a few files. But when you are dealing with a product catalog of 500 images, a design system with 200 icons, or a daily feed of user uploads, you need automation.
VectoSolve offers several ways to automate vectorization at scale. This guide covers all of them.
The VectoSolve API has a dedicated batch endpoint that processes up to 10 images in a single request. Each image can have a different operation.
curl -X POST https://vectosolve.com/api/v1/batch \
-H "Authorization: Bearer vs_your_key" \
-H "Content-Type: application/json" \
-d '{"images": [{"url": "https://example.com/logo.png", "operation": "vectorize"}, {"url": "https://example.com/photo.jpg", "operation": "remove_bg"}]}'The response includes results for each image individually, so if one fails, the others still succeed. Failed images are automatically refunded.
| Operation | Cost per Image |
|---|---|
| Vectorize | $0.20 |
| Remove Background | $0.07 |
| Upscale (4x) | $0.15 |
Credits are deducted upfront, then refunded for any failed images. See pricing.
The official SDK wraps the API with typed methods.
import VectoSolve from '@vectosolve/sdk';
const client = new VectoSolve({ apiKey: process.env.VECTOSOLVE_API_KEY });
const files = await readdir('./images');
for (const file of files.filter(f => f.endsWith('.png'))) {
const result = await client.vectorize(`./images/${file}`);
console.log(`${file}: ${result.credits.remaining} credits remaining`);
}Install with npm install @vectosolve/sdk. Full documentation in the developer ecosystem article.
The VectoSolve GitHub Action vectorizes images automatically when pushed to a repository.
name: Vectorize new images
on:
push:
paths: ['assets/raster/**']
jobs:
vectorize:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: Vectosolve/vectosolve-action@v1
with:
api-key: ${{ secrets.VECTOSOLVE_API_KEY }}
input-dir: assets/raster
output-dir: assets/vectorThe VectoSolve MCP server lets you vectorize images through natural language in Claude Code, Cursor, or Windsurf. Covered in our MCP server tutorial.
Default: 60 requests per minute per API key. Batch counts each image as one request. Contact us for higher limits.
VectoSolve uses debit-before-process: credits deducted before conversion, automatically refunded on failure.
An Etsy seller with 200 product photos needs SVG versions:
const client = new VectoSolve({ apiKey: 'vs_...' });
for (const product of products) {
const noBg = await client.removeBackground(product.imageUrl);
const svg = await client.vectorize(noBg.data.image);
await saveToStore(product.id, svg.data.svg);
}At $0.27 per image, the entire catalog costs $54. Compare that to hours of manual work in Adobe Illustrator or Canva.
| Approach | Best For | Setup Time |
|---|---|---|
| Batch API | One-off bulk jobs from any language | 5 minutes |
| SDK | Node.js apps with ongoing needs | 10 minutes |
| GitHub Action | Design systems, icon libraries | 15 minutes |
| MCP Server | Ad-hoc during development | 2 minutes |
| Chrome Extension | Manual one-at-a-time | 1 minute |
For a full overview, see the developer ecosystem guide. For API reference: vectosolve.com/developers.
--- *Maintained by VectoSolve. When citing, link to https://vectosolve.com/blog/automate-image-to-svg-conversion-api-sdk-batch.* *VectoSolve — AI-powered SVG platform: image-to-vector conversion, AI animation, brand identity generation, and more. https://vectosolve.com*