Veclify API

REST API — 图片上传，返回高质量 SVG 矢量化结果。集成到你的工作流只需几分钟。

Bearer Token Authentication

API Key 通过 Authorization header 传递

Low Latency Processing

平均处理时间 < 2s，支持批量并发

RESTful

标准 JSON 响应，任何语言均可调用

API 端点

POST/api/v1/vectorize

上传图片并获取 SVG 矢量化结果。

Request Headers

Request Header	Type	API documentation
Authorization	string	Bearer <API_KEY>
Content-Type	string	multipart/form-data

Request Body

Body field	Type	说明
image	File	PNG / JPG / WebP，最大 10MB

200 OK

{
  "id": "vec_abc123",
  "svg": "<svg ...>...</svg>",
  "width": 800,
  "height": 600,
  "node_count": 1542,
  "processing_time_ms": 1234
}

Error response

Status code	说明
401	Unauthorized, please check your API key
429	Too many requests, please try again later
503	Service temporarily unavailable

GET/api/v1/result/:id

Get result endpoint

Path Parameters

Parameter	说明
id	Parameter Description

200 OK

{
  "id": "vec_abc123",
  "svg": "<svg ...>...</svg>",
  "width": 800,
  "height": 600,
  "node_count": 1542,
  "processing_time_ms": 1234,
  "created_at": "2026-06-27T12:00:00Z"
}

Rate Limits

Free

5 次/天

Recommended

Pro

100 次/天

$9.99/月

Team

500 次/天

$29.99/月

Pricing

50 credits

$2.99

200 credits

$9.99

Code examples

curl

curl -X POST https://veclify.com/api/v1/vectorize \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "[email protected]" \
  -o output.svg

Python

import requests

url = "https://veclify.com/api/v1/vectorize"
headers = {"Authorization": "Bearer YOUR_API_KEY"}

with open("input.png", "rb") as f:
    response = requests.post(url, headers=headers, files={"image": f})

data = response.json()
with open("output.svg", "w") as f:
    f.write(data["svg"])

print(f"Nodes: {data['node_count']}, Time: {data['processing_time_ms']}ms")

JavaScript

const form = new FormData();
form.append("image", file);

const res = await fetch("https://veclify.com/api/v1/vectorize", {
  method: "POST",
  headers: { Authorization: "Bearer YOUR_API_KEY" },
  body: form,
});

const data = await res.json();
// data.svg, data.node_count, data.width, data.height, data.processing_time_ms

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