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SudoMock Python SDK

Official Python client for the SudoMock Mockup Generator API.

Generate photorealistic product mockups from PSD templates or 2D mockups -- all from your Python code.

PyPI Python License: MIT CI

Installation

pip install sudomock

Quick Start

from sudomock import SudoMock

# 1. Create a client (or set SUDOMOCK_API_KEY env var)
client = SudoMock(api_key="sm_your_api_key")

# 2. List your mockup templates
mockups = client.mockups.list(limit=10)
for m in mockups.mockups:
    print(f"{m.name} ({m.uuid})")

# 3. Render a mockup with your artwork
render = client.renders.create(
    mockup_uuid=mockups.mockups[0].uuid,
    smart_objects=[{
        "uuid": mockups.mockups[0].smart_objects[0].uuid,
        "asset": {"url": "https://example.com/your-design.png"},
    }],
)
print(render.url)  # https://cdn.sudomock.com/renders/.../render.webp

Batch text personalization

Use an editable text layer from the mockup response to create personalized outputs. smart_objects is optional for text-only renders, and fit defaults to "overflow".

mockup = client.mockups.get("mockup-uuid")
name_layer = next(layer for layer in mockup.text_layers if layer.name == "Customer Name")
if not name_layer.is_editable:
    raise ValueError("Customer Name is not editable")

renders = [
    client.renders.create(
        mockup_uuid=mockup.uuid,
        text_layers=[{
            "uuid": name_layer.uuid,
            "text": name,
            "font": "Montserrat-Bold",
            "color": "#FFFFFF",
            "fit": "overflow",
        }],
    )
    for name in ["Aylin", "Deniz", "Mert"]
]

for render in renders:
    print(render.url)
    for warning in render.warnings:
        print(warning.code, warning.message)

Async Usage

import asyncio
from sudomock import AsyncSudoMock

async def main():
    async with AsyncSudoMock(api_key="sm_your_api_key") as client:
        mockups = await client.mockups.list()
        render = await client.renders.create(
            mockup_uuid=mockups.mockups[0].uuid,
            smart_objects=[{
                "uuid": mockups.mockups[0].smart_objects[0].uuid,
                "asset": {"url": "https://example.com/design.png"},
            }],
        )
        print(render.url)

asyncio.run(main())

2D mockups via API

Create a 2D mockup from a product image, wait until its print areas are ready, then render your artwork. Creation costs 25 credits and rendering costs 5 credits. Unsuccessful creations are refunded automatically.

customizable is always a boolean, and surfaces and print_areas are typed lists. Each full surface exposes surface_uuid and coverage="full".

from sudomock import SudoMock

client = SudoMock(api_key="sm_your_api_key")

# Create the 2D mockup (synchronous by default -- returns the finished mockup)
mockup = client.ai.create(
    source_url="https://example.com/product.jpg",
    name="Product Front",
    idempotency_key="product-front-001",
)

render = client.ai.render(
    mockup_uuid=mockup.mockup_id,
    print_areas=[{
        "uuid": mockup.quads[0].print_area_id,
        "artwork_url": "https://example.com/your-design.png",
    }],
)
print(render.url)

# A full product surface can be rendered directly with its surface UUID.
if mockup.surfaces:
    render = client.ai.render(
        mockup_uuid=mockup.mockup_id,
        print_areas=[{
            "surface_uuid": mockup.surfaces[0].surface_uuid,
            "artwork_url": "https://example.com/your-design.png",
        }],
    )

# Async variant: submit to the server queue and poll (returns a JobAccepted)
job = client.ai.render(
    mockup_uuid=mockup.mockup_id,
    print_areas=[{
        "uuid": mockup.quads[0].print_area_id,
        "artwork_url": "https://example.com/your-design.png",
    }],
    is_async=True,
)
result = client.jobs.wait(job.job_id)   # terminal Job carries result_url
if result.succeeded:
    print(result.url)

Async Rendering (Server-Side Queue)

Submit long-running renders to the server-side queue and poll for the result. This is independent of AsyncSudoMock -- is_async controls server queueing, while AsyncSudoMock only controls how your process performs HTTP I/O. Either client can submit async jobs.

from sudomock import SudoMock

client = SudoMock(api_key="sm_your_api_key")

# Submit -> returns a JobAccepted (HTTP 202), does not block on the render
job = client.renders.create(
    mockup_uuid="...",
    smart_objects=[{"uuid": "...", "asset": {"url": "https://example.com/d.png"}}],
    is_async=True,
)
print(job.job_id, job.status_url)

# Poll until terminal (succeeded / failed)
result = client.jobs.wait(job.job_id)        # or client.jobs.get(uuid) once
if result.succeeded:
    print(result.url)        # result_url
else:
    print("failed:", result.error)

Video Rendering

Animate a mockup into an AI video. Video renders are always async (return a JobAccepted). The first video render on a free plan is granted once for the account's lifetime. Unsupported duration_seconds values return 400; quality selection is automatic.

job = client.renders.create_video(
    mockup_uuid="...",
    smart_objects=[{"uuid": "...", "asset": {"url": "https://example.com/d.png"}}],
    duration_seconds=4,
    audio=False,
    motion="ambient",               # optional; "ambient" (default) or "showcase"
)
video = client.jobs.wait(job.job_id)
print(video.url)

# Raw-image mode: animate a public image URL directly (no mockup render step)
job = client.renders.create_video(
    image_url="https://example.com/product.jpg",
    duration_seconds=4,
)

Background Removal

Remove the background from an image; returns a reusable transparent-PNG URL valid for 7 days that you can hand straight back to a render as artwork. Supply exactly one of url or base64. Costs 25 credits per image; credits are refunded automatically if processing fails.

cutout = client.images.remove_background(url="https://example.com/product-photo.jpg")

print(cutout.url)              # signed cutout URL, valid for 7 days
print(cutout.width, cutout.height)
print(cutout.credits_charged)  # 25

# Reuse the URL in renders during its 7-day validity window
render = client.renders.create(
    mockup_uuid="mockup-uuid",
    smart_objects=[{"uuid": "so-uuid", "asset": {"url": cutout.url}}],
)

To clean artwork inline during a render instead, set remove_background on the render asset or 2D print area. It adds 25 credits per unique artwork to the render (the same artwork reused across several smart objects or print areas is charged once).

# PSD render
client.renders.create(
    mockup_uuid="mockup-uuid",
    smart_objects=[{
        "uuid": "so-uuid",
        "asset": {"url": "https://example.com/photo.jpg", "remove_background": True},
    }],
)

# 2D render
client.ai.render(
    mockup_uuid="mockup-uuid",
    print_areas=[{
        "uuid": "print-area-uuid",
        "artwork_url": "https://example.com/photo.jpg",
        "remove_background": True,
    }],
)

PSD Upload

Upload a PSD by URL and parse it into a mockup template. PSD uploads are free (zero credits) and support is_async.

mockup = client.psd.upload(url="https://example.com/template.psd", name="My PSD")
print(mockup.uuid)

# Async variant:
job = client.psd.upload(url="https://example.com/template.psd", is_async=True)
mockup = client.jobs.wait(job.job_id)

Webhooks

Manage outbound webhook endpoints (authenticated with your x-api-key) and verify inbound HMAC-signed deliveries.

# Register an endpoint
ep = client.webhook_endpoints.create(
    url="https://your-app.com/webhooks/sudomock",
    events=["render.succeeded", "render.failed"],
)
print(ep.secret)  # store this -- it signs deliveries

# List / update / rotate / test / replay
client.webhook_endpoints.list()
client.webhook_endpoints.update(ep.id, enabled=False)
client.webhook_endpoints.rotate_secret(ep.id)
client.webhook_endpoints.test(ep.id)
deliveries = client.webhook_endpoints.deliveries(ep.id)
client.webhook_endpoints.replay_delivery(ep.id, deliveries.deliveries[0].id)

# Cross-endpoint deliveries feed + bulk replay of all failed deliveries
client.webhook_endpoints.events(limit=100)
client.webhook_endpoints.replay_failed(ep.id)

Verify an inbound delivery in your handler (use the raw request body). SudoMock sends the signature and timestamp in two separate headers:

from sudomock import verify_webhook_signature
from sudomock.exceptions import WebhookVerificationError

signature = request.headers["X-SudoMock-Signature"]  # hex HMAC-SHA256 digest
timestamp = request.headers["X-SudoMock-Timestamp"]  # unix timestamp
try:
    verify_webhook_signature(secret, signature, timestamp, raw_body)
except WebhookVerificationError:
    ...  # reject: missing header / replayed / bad signature

Error Handling

from sudomock import SudoMock
from sudomock.exceptions import (
    AuthenticationError,
    InsufficientCreditsError,
    RateLimitError,
    NotFoundError,
    ValidationError,
    ServerError,
    SudoMockError,  # base class for all errors
)

client = SudoMock(api_key="sm_your_api_key")

try:
    render = client.renders.create(
        mockup_uuid="...",
        smart_objects=[...],
    )
except AuthenticationError:
    print("Invalid API key")
except InsufficientCreditsError as e:
    print(f"Out of credits. Resets at: {e.credits_reset_at}")
except RateLimitError as e:
    print(f"Rate limited. Retry after: {e.retry_after}s")
except NotFoundError:
    print("Mockup not found")
except ValidationError:
    print("Invalid request parameters")
except ServerError:
    print("Server error, will be retried automatically")
except SudoMockError as e:
    print(f"Unexpected error: {e.message} (HTTP {e.status_code}, code={e.error_code})")

Studio

product_id = "product-123"
variant_id = "variant-456"

session = client.studio.create_session(
    mockup_type="2d",
    session_kind="customize",
    mockup_uuid="11111111-1111-4111-8111-111111111111",
    allowed_origin="https://shop.example",
    product_id=product_id,
    variant_id=variant_id,
    action_id="add-to-cart",
    ui={
        "primary_action_label": "Add to cart",
        "secondary_action_label": "Preview",
        "accent_color": "#3366FF",
    },
)

# Open studio.sudomock.com/editor?session=<session.session> in your iframe.
# Keep session.bootstrap_secret on the trusted parent page for the required handshake.

allowed_origin, product_id, and variant_id work for both PSD and 2D sessions. PSD supports customize; 2D supports setup and customize. Every response includes session, expires_in, message_session_id, and bootstrap_secret. Never put the bootstrap secret in the iframe URL or logs.

Setup emits studio.mockup-saved; customize emits studio.design-submitted. Every result carries stable mockup_uuid and render_uuid, plus the optional action_id. Treat render_uuid as the opaque confirmation handle; the parent page does not receive editor revision state.

On your server, confirm that browser event before saving the mockup or adding anything to a cart:

receipt = client.studio.consume_action(
    event,
    action_context={
        "product_id": product_id,
        "variant_id": variant_id,
    },
)

The action context must exactly match the values used to create the session. The typed receipt is bound to the session, render, API key owner, and context, and can be consumed only once.

Account & Credits

from sudomock import SudoMock

client = SudoMock(api_key="sm_your_api_key")
account = client.account.get()

print(f"Plan: {account.subscription.plan}")
print(f"Credits remaining: {account.usage.credits_remaining}")
print(f"Credits limit: {account.usage.credits_limit}")
print(f"Period ends: {account.subscription.current_period_end}")

Configuration

from sudomock import SudoMock

client = SudoMock(
    api_key="sm_your_api_key",           # or SUDOMOCK_API_KEY env var
    base_url="https://api.sudomock.com", # default
    timeout=30.0,                         # default request timeout (seconds)
    render_timeout=120.0,                 # render request timeout (seconds)
    max_retries=3,                        # TOTAL attempts on 429/5xx/network: initial + up to 2 retries (exponential backoff)
)

API Reference

Mockups

Method Description
client.mockups.list(limit=, offset=, name=, created_after=, created_before=, sort=, order=) List mockup templates (filter by name)
client.mockups.get(uuid) Get mockup details
client.mockups.update(uuid, name=) Rename a mockup
client.mockups.delete(uuid) Delete a mockup

Bulk delete (DELETE /mockups/all) is dashboard-only (Bearer/JWT auth) and is intentionally not exposed in this api-key SDK.

Renders

Method Description
client.renders.create(mockup_uuid=, smart_objects=None, text_layers=None, export_options=, export_label=, is_async=False) Render artwork, text replacements, or both (sync Render, or JobAccepted when is_async=True)
client.renders.create_video(mockup_uuid=, smart_objects=, image_url=, duration_seconds=, audio=False, motion=None, webhook=None, ...) AI video render (always async, returns JobAccepted). Render mode (mockup_uuid+smart_objects) or raw-image mode (image_url)

Jobs

Method Description
client.jobs.list(kind=, mockup_uuid=, limit=, cursor=) List your async jobs (keyset-paginated, newest first)
client.jobs.get(job_id) Get async job status (queued/running/succeeded/failed)
client.jobs.wait(job_id, poll_interval=2.0, timeout=300.0) Poll until the job reaches a terminal state

PSD

Method Description
client.psd.upload(url=, name=None, is_async=False) Upload a PSD by URL (free; sync Mockup or JobAccepted)

2D Mockups

Method Description
client.ai.create(source_url=, source_base64=, name=, print_areas=, is_async=False, idempotency_key=) Create a 2D mockup (25 credits; sync TwoDMockup by default, or JobAccepted when is_async=True)
client.ai.wait_for_2d_mockup(job_id, poll_interval=2.0, timeout=180.0) Wait for an is_async=True creation and return the full 2D mockup
client.ai.update_2d_print_areas(mockup_id, print_areas) Replace a 2D mockup's print areas (free)
client.ai.render(mockup_uuid=, print_areas=, export_options=, is_async=False) Render artwork onto a 2D mockup (5 credits; sync AIRender with render_uuid by default, or JobAccepted when is_async=True)
client.ai.list(limit=, offset=, customizable_only=) List your 2D mockups; set customizable_only=True for shopper-ready items
client.ai.get(mockup_id) Get a 2D mockup
client.ai.delete(mockup_id) Delete a 2D mockup

Images

Method Description
client.images.remove_background(url=, base64=, content_type=) Remove an image's background (25 credits; returns a BackgroundRemoval with a signed transparent-PNG cutout URL valid for 7 days)

Account

Method Description
client.account.get() Get account info, credits, subscription

Packages (public)

Method Description
client.packages.plans() List active subscription plans (no auth)
client.packages.pricing() List public pricing (no auth)

Webhook Endpoints

Method Description
client.webhook_endpoints.list() List registered endpoints
client.webhook_endpoints.create(url=, events=, description=None) Register an endpoint (empty events = all)
client.webhook_endpoints.get(uuid) Get an endpoint
client.webhook_endpoints.update(uuid, url=, events=, description=, enabled=) Update an endpoint
client.webhook_endpoints.delete(uuid) Delete an endpoint
client.webhook_endpoints.rotate_secret(uuid) Rotate the signing secret
client.webhook_endpoints.test(uuid) Send a synthetic test delivery
client.webhook_endpoints.events(status=, event_type=, limit=) Deliveries feed across all endpoints
client.webhook_endpoints.deliveries(uuid) List delivery attempts for one endpoint
client.webhook_endpoints.replay_delivery(uuid, delivery_id) Replay one failed delivery
client.webhook_endpoints.replay_failed(uuid) Replay all failed/dead deliveries
verify_webhook_signature(secret, signature, timestamp, raw_body) Verify an inbound HMAC signature (split headers)

Export Options

export_options = {
    "image_format": "webp",  # "webp", "png", "jpg"
    "image_size": 1920,       # max dimension in pixels
    "quality": 95,            # 1-100 (for webp/jpg)
}

Smart Object Configuration

smart_objects = [{
    "uuid": "smart-object-uuid",
    "asset": {
        "url": "https://example.com/design.png",
        "fit": "fill",      # "fill" (default), "contain", "cover"
        "rotate": 0,         # degrees
        "position": {"top": 100, "left": 100},
        "size": {"width": 800, "height": 600},
        "remove_background": False,  # True isolates the subject (+25 credits per artwork)
    },
    "color": {
        "hex": "#FFFFFF",
        "blending_mode": "multiply",
    },
}]

Requirements

License

MIT -- see LICENSE.

MCP Server

SudoMock also offers an official Model Context Protocol (MCP) server, enabling AI assistants like Claude, Cursor, and VS Code Copilot to generate mockups directly.

Links

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Official Python SDK for SudoMock - Mockup Generation API

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