Image Editing API for Production Visual Workflows

One source photo, every operation, one API.

curl -X POST https://api.jasper.ai/v1/image/remove-background \
  -H "X-API-Key: $JASPER_API_KEY" \
  -H "Accept: image/png" \
  -F "[email protected]" \
  -o cutout.png

import requests

response = requests.post(
    "https://api.jasper.ai/v1/image/remove-background",
    headers={"X-API-Key": JASPER_API_KEY, "Accept": "image/png"},
    files={"image_file": open("skincare-flatlay.webp", "rb")},
)
open("cutout.png", "wb").write(response.content)

Parameters: image_file
Max input: 30MB, 25MP

Get a Demo API docs

POST/v1/image/cleanup

curl -X POST https://api.jasper.ai/v1/image/cleanup \
  -H "X-API-Key: $JASPER_API_KEY" \
  -H "Accept: image/webp" \
  -F "[email protected]" \
  -F "[email protected]" \
  -o cleaned.webp

import requests

response = requests.post(
    "https://api.jasper.ai/v1/image/cleanup",
    headers={"X-API-Key": JASPER_API_KEY, "Accept": "image/webp"},
    files={
        "image_file": open("skincare-flatlay.webp", "rb"),
        "mask_file": open("cream-jar-mask.png", "rb"),
    },
)
open("cleaned.webp", "wb").write(response.content)

Parameters: image_file, mask_file
Max input: 30MB, 16MP

Get a Demo API docs

POST/v1/image/upscale

curl -X POST https://api.jasper.ai/v1/image/upscale \
  -H "X-API-Key: $JASPER_API_KEY" \
  -H "Accept: image/webp" \
  -F "[email protected]" \
  -F "target_width=1536" -F "target_height=1024" \
  -o upscaled.webp

import requests

response = requests.post(
    "https://api.jasper.ai/v1/image/upscale",
    headers={"X-API-Key": JASPER_API_KEY, "Accept": "image/webp"},
    files={"image_file": open("skincare-flatlay-768.jpg", "rb")},
    data={"target_width": 1536, "target_height": 1024},
)
open("upscaled.webp", "wb").write(response.content)

Parameters: image_file, target_width, target_height
Max input: 30MB, 16MP

Get a Demo API docs

POST/v1/image/uncrop

curl -X POST https://api.jasper.ai/v1/image/uncrop \
  -H "X-API-Key: $JASPER_API_KEY" \
  -H "Accept: image/png" \
  -F "[email protected]" \
  -F "extend_left=255" -F "extend_right=255" \
  -F "extend_up=170" -F "extend_down=170" \
  -F "seed=72615" \
  -o uncropped.png

import requests

response = requests.post(
    "https://api.jasper.ai/v1/image/uncrop",
    headers={"X-API-Key": JASPER_API_KEY, "Accept": "image/png"},
    files={"image_file": open("skincare-flatlay.webp", "rb")},
    data={
        "extend_left": 255, "extend_right": 255,
        "extend_up": 170, "extend_down": 170,
        "seed": 72615,
    },
)
open("uncropped.png", "wb").write(response.content)

Parameters: image_file, extend_left, extend_right, extend_up, extend_down
Max input: 30MB, 10MP

Get a Demo API docs

POST/v1/image/decompose

curl -X POST https://api.jasper.ai/v1/image/decompose \
  -H "X-API-Key: $JASPER_API_KEY" \
  -F "[email protected]" \
  -F "[email protected]" -F "[email protected]" \
  -F "[email protected]" -F "[email protected]" \
  -F "[email protected]" \
  -F "background_output_format=jpeg" \
  -F "layers_output_format=webp"
# { "background": { "url": ... }, "layers": [ { "url": ... }, ... ] }

import requests

masks = ["serum.png", "cream-jar.png", "tube.png", "perfume.png", "pouch.png"]
response = requests.post(
    "https://api.jasper.ai/v1/image/decompose",
    headers={"X-API-Key": JASPER_API_KEY},
    files=[("image_file", open("skincare-flatlay.webp", "rb"))]
    + [("mask_files", open(path, "rb")) for path in masks],
    data={"background_output_format": "jpeg", "layers_output_format": "webp"},
)
layers = response.json()["layers"]

Parameters: image_file, mask_files[]
Max input: 30MB, 16MP

Get a Demo API docs

Remove Background output with the five products isolated on transparency.

Multi-product skincare flatlay with a serum bottle, cream jar, squeeze tube, perfume bottle, and linen pouch.

SourceOutput PNG

⇆

Isolate every product as a transparent PNG. No mask. Pre-rendered output from the live endpoint.

The product stays the product.

A sofa is masked, lifted out, and dropped into a finished layout. Nothing about the sofa changes on the way.

Glass, water, and fuzz. Still clean.

Same fishbowl, same mask. The competitor leaves a green ghost behind. Jasper removes the fish and keeps the water.

Two hundred products, one rule.

Four unrelated source photos become one catalog family: matched backdrop, aligned crop, locked shadow.

26M+

background removals processed

25MP

maximum input for Remove Background

Seven models, one for each job.

Jasper Image, answered

Jasper Image is a suite of specialized AI models for creating, editing, and adapting brand imagery at scale. Marketing teams can use the models in Jasper Image Pipelines, while developers can integrate supported capabilities through the Jasper Image API.

Jasper combines specialized image models with brand governance, repeatable pipelines, API access, and model-specific quality evaluation. The goal is production-ready, controllable image workflows rather than isolated one-off generations.

Jasper Image includes Remove Background, Replace Background, Cleanup, Packshot Compositing, Uncrop, Decompose, Upscale, and Remove Text. Relight and Recolor are available for private beta evaluation.

Yes. Developers can call supported Jasper Image models through dedicated API endpoints and compose them into DAMs, ecommerce tools, creative products, catalog systems, and automated image pipelines.

Yes. Jasper Image Pipelines are designed to apply approved image operations across large asset sets, helping marketing and creative operations teams produce consistent campaign, catalog, marketplace, and localization variants.

Yes. Jasper offers sales-led benchmark access for relevant models so teams can review same-source outputs, hard cases, evaluation context, and results on their own image categories before adopting an API or pipeline workflow.

Jasper Image pricing depends on the models, workflow, volume, and support required. Request a demo to discuss Image API access, Image Pipelines, benchmark evaluation, and the right production setup for your team.

Request a demo and bring a representative image set. Jasper's team can help identify the right models, review benchmark evidence, test your difficult cases, and plan an API or pipeline evaluation around your production requirements.

Pixel-perfect image production, built for scale.

One source photo, every operation, one API.

The product stays the product.

Glass, water, and fuzz. Still clean.

Two hundred products, one rule.

Seven models, one for each job.

Jasper Image, answered

Scale every image workflow.

Pixel-perfect image production, built for scale.

One source photo, every operation, one API.

The product stays the product.

Glass, water, and fuzz. Still clean.

Two hundred products, one rule.

Seven models, one for each job.

Jasper Image, answered

What is Jasper Image?

How is Jasper Image different from other AI image platforms?

Which AI image models are available from Jasper?

Can developers access Jasper Image models through an API?

Can marketing teams use Jasper Image at catalog scale?

Can I compare Jasper image models with other AI models?

How is Jasper Image priced?

How do I evaluate Jasper Image for my organization?

Scale every image workflow.