Topaz Gigapixel Free Alternative — AI Image Upscaler API

Reddit threads on topaz gigapixel free alternative reach the same conclusion: the best developer option is a REST API that charges per image, not a desktop subscription you can't automate. PixelAPI's 4× AI Image Upscaler API fits exactly — one HTTP call, a high-resolution PNG back, at $0.0015 per image. Your first 500 upscales are free with no credit card required. Integrate into any pipeline in minutes using cURL, Python, Node, PHP, Ruby, or Go.

Quick start — upscale an image in one API call

Sign up, copy your key from the dashboard, and POST your image. The endpoint returns a generation_id; poll until status=completed, then download the enlarged PNG from output_url. The Python and Node SDKs handle polling automatically.

curl -X POST https://api.pixelapi.dev/v1/image/upscale \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "[email protected]" \
  -F "scale=4"
# Response: {"id": "uuid", "status": "queued", "credits_used": 10}

# Poll until completed
curl https://api.pixelapi.dev/v1/image/upscale/UUID \
  -H "Authorization: Bearer YOUR_API_KEY"
# Response: {"generation_id": "...", "status": "completed", "output_url": "https://..."}

pip install pixelapi
---
from pixelapi import PixelAPI

client = PixelAPI(api_key="YOUR_API_KEY")
result = client.upscale(image="photo.jpg", scale=4)
result.save("photo_4x.png") # lossless PNG at 4× resolution

npm install pixelapi
---
import { PixelAPI } from "pixelapi";

const client = new PixelAPI({ apiKey: process.env.PIXELAPI_KEY });
const result = await client.upscale({ image: "./photo.jpg", scale: 4 });
await result.save("photo_4x.png"); // lossless PNG at 4× resolution

composer require pixelapi/pixelapi
---
<?php
use PixelAPI\Client;

$client = new Client(getenv("PIXELAPI_KEY"));
$result = $client->upscale(["image" => "photo.jpg", "scale" => 4]);
file_put_contents("photo_4x.png", $result->getBody());

gem install pixelapi
---
require "pixelapi"

client = PixelAPI::Client.new(api_key: ENV["PIXELAPI_KEY"])
result = client.upscale(image: "photo.jpg", scale: 4)
File.binwrite("photo_4x.png", result.body)

go get github.com/pixelapi/pixelapi-go
---
import "github.com/pixelapi/pixelapi-go"

client := pixelapi.New("YOUR_API_KEY")
result, err := client.Upscale("photo.jpg", pixelapi.UpscaleOpts{Scale: 4})
if err != nil { panic(err) }
result.Save("photo_4x.png")

Pricing — cheapest Topaz Gigapixel alternative on Reddit

Topaz Gigapixel AI is now part of Topaz Photo AI, sold as a subscription starting at $199/year — with no public REST API for programmatic access. PixelAPI is purpose-built for developers at $0.0015 per image, 9× cheaper than Let's Enhance's entry tier.

Pricing verified from each rival's public pricing page May 2026. Let's Enhance pricing from letsenhance.io/pricing; Topaz Photo AI pricing from topazlabs.com. USD-equivalent pricing for Vance.ai and Upscale.media could not be confirmed at time of writing — visit their pricing pages for current rates.

What you get back

Request parameters

Common workflows

The Image Upscaler API powers these production workflows across print, e-commerce, and catalog pipelines:

More upscaling workflows: all industry guides →

Integrations & SDKs

Comparison vs alternatives

Rate limits & error handling

Default 60 requests/minute on the free tier, 600 requests/minute on paid tiers. Exceeding the limit returns HTTP 429 with a Retry-After header. Recommended: exponential backoff starting at 2 s, doubling on each retry up to 30 s. The Python and Node SDKs handle this automatically.

# Python SDK: auto-retries on 429 with exponential backoff
from pixelapi import PixelAPI
client = PixelAPI(api_key="...", max_retries=4)
result = client.upscale(image="batch_photo.jpg", scale=4) # auto-retries on 429

# Common HTTP status codes:
# 400 — bad request (check scale is 2-4, fit_mode is valid, file <= 20 MB)
# 402 — insufficient credits (top up at /pricing)
# 429 — rate limit exceeded (Retry-After header gives the wait time)
# 503 — queue full, credits auto-refunded (retry after a few seconds)

If a job fails during processing, credits are automatically refunded and the generation record is marked failed. The Python and Node SDKs raise an exception with the reason; raw API users should check status=failed on the poll response.

Frequently asked questions