POST /v1/optimize
Image Optimization API
Compress images, reduce file size, convert to web formats, and target specific output sizes.
Key Operations
compress
optimize
reduce_to_target_size
convert_to_webp
convert_to_avif
Use cases
CDN optimization
E-commerce media compression
Bandwidth reduction
Async Job Lifecycle
All ImageHQ processing endpoints are asynchronous. Upon a successful POST, you receive a 202 Acceptedresponse with a job_id. Poll the status endpoint until the state reaches succeeded.
Request Example
import requests
url = "https://api.imagehq.io/v1/optimize"
payload = {
"input_format": "png",
"operation": "compress",
"options": {
"quality": 85,
"strip_metadata": True
},
"output_format": "same_as_input",
"tool_slug": "compress-png"
}
files = [("files[]", open("image.png", "rb"))]
data = {"request": json.dumps(payload)}
response = requests.post(url, files=files, data=data)
print(response.json())const form = new FormData();
form.append("files[]", file);
form.append("request", JSON.stringify({
"input_format": "png",
"operation": "compress",
"options": {
"quality": 85,
"strip_metadata": true
},
"output_format": "same_as_input",
"tool_slug": "compress-png"
}));
const response = await fetch("https://api.imagehq.io/v1/optimize", {
method: "POST",
headers: { "Idempotency-Key": crypto.randomUUID() },
body: form
});
const data = await response.json();
console.log(data);const form = new FormData();
form.append("files[]", file);
form.append("request", JSON.stringify({
"input_format": "png",
"operation": "compress",
"options": {
"quality": 85,
"strip_metadata": true
},
"output_format": "same_as_input",
"tool_slug": "compress-png"
}));
const response = await fetch("https://api.imagehq.io/v1/optimize", {
method: "POST",
headers: { "Idempotency-Key": crypto.randomUUID() },
body: form
});
const data = await response.json();
console.log(data);curl -X POST "https://api.imagehq.io/v1/optimize" \
-H "Idempotency-Key: $(uuidgen)" \
-F "files[]=@image.png" \
-F 'request={"input_format":"png","operation":"compress","options":{"quality":85,"strip_metadata":true},"output_format":"same_as_input","tool_slug":"compress-png"}'$client = new GuzzleHttp\Client();
$response = $client->post("https://api.imagehq.io/v1/optimize", [
"multipart" => [
["name" => "files[]", "contents" => fopen("image.png", "r")],
["name" => "request", "contents" => '{"input_format":"png","operation":"compress","options":{"quality":85,"strip_metadata":true},"output_format":"same_as_input","tool_slug":"compress-png"}']
]
]);require "faraday"
response = Faraday.post("https://api.imagehq.io/v1/optimize") do |req|
req.headers["Idempotency-Key"] = SecureRandom.uuid
req.body = { "files[]" => Faraday::UploadIO.new("image.png", "image/png"), "request" => '{"input_format":"png","operation":"compress","options":{"quality":85,"strip_metadata":true},"output_format":"same_as_input","tool_slug":"compress-png"}' }
endbody := &bytes.Buffer{}
writer := multipart.NewWriter(body)
writer.WriteField("request", `{"input_format":"png","operation":"compress","options":{"quality":85,"strip_metadata":true},"output_format":"same_as_input","tool_slug":"compress-png"}`)
file, _ := writer.CreateFormFile("files[]", "image.png")
_ = file
writer.Close()
http.Post("https://api.imagehq.io/v1/optimize", writer.FormDataContentType(), body)HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.imagehq.io/v1/optimize"))
.header("Idempotency-Key", UUID.randomUUID().toString())
.POST(HttpRequest.BodyPublishers.ofString("multipart form data"))
.build();using var form = new MultipartFormDataContent();
form.Add(new StringContent('{"input_format":"png","operation":"compress","options":{"quality":85,"strip_metadata":true},"output_format":"same_as_input","tool_slug":"compress-png"}'), "request");
form.Add(new StreamContent(File.OpenRead("image.png")), "files[]", "image.png");
await httpClient.PostAsync("https://api.imagehq.io/v1/optimize", form);var request = URLRequest(url: URL(string: "https://api.imagehq.io/v1/optimize")!) request.httpMethod = "POST" request.setValue(UUID().uuidString, forHTTPHeaderField: "Idempotency-Key") // Attach multipart files[] and request fields before sending.
Successful Response
{
"completed": {
"download_url": "/v1/jobs/job_123/download",
"expires_at": "2026-05-03T00:00:00Z",
"id": "job_123",
"inputs": [
{
"filename": "input.png",
"format": "png",
"mime_type": "image/png",
"size_bytes": 420122
}
],
"outputs": [
{
"filename": "output.jpg",
"format": "jpg",
"id": "0",
"mime_type": "image/jpeg",
"size_bytes": 161002
}
],
"progress": 100,
"retention_policy": {
"clamp": true,
"ttl_hours": 24
},
"stages": [
{
"name": "queued",
"progress": 100,
"status": "succeeded"
},
{
"name": "processing",
"progress": 100,
"status": "succeeded"
}
],
"status": "succeeded",
"warnings": []
},
"queued": {
"client_reference_id": "example-123",
"created_at": "2026-05-02T00:00:00Z",
"current_stage": "queued",
"expires_at": "2026-05-03T00:00:00Z",
"id": "job_123",
"operation": "optimize",
"poll_url": "/v1/jobs/job_123",
"progress": 0,
"status": "queued",
"tool_slug": "png-to-jpg"
}
}Frequently Asked Questions
Can I target smaller file size?
Yes, optimize jobs can be configured to reduce to target size where practical.
Does optimization remove metadata?
You can control metadata stripping through output options.
Is optimize separate from convert?
Yes. Optimize focuses on quality/size controls while convert focuses on format changes.