What is a merch mockup?

A merch mockup is an image of a product such as a tee, a mug or a tote showing your design where it will be printed. Sellers make a matching set to launch one design across several products and list each one before anything is printed.

Can ChatGPT or Claude make merch mockups of my exact design?

Yes, once SudoMock is connected. The assistant renders your one design file on the saved mockup of each product, so the tee, the mug and the tote carry the same print, each in its own print area.

Do I need a separate design file for each product?

No. One transparent PNG at the size of the largest print area covers the set, and each render fits it inside that product's area. A full mug wrap or an all over print is the exception, because its file is shaped for one product.

Where does the design go on a mug mockup?

On the side that faces the camera. A mug is printed around its body, but a photo shows one side, so the print area covers that face, centered below the rim. A second photo of the other side becomes a second mockup.

What does it cost to render a merch set?

Plans start at $25/month. Subscriptions from $0.002 per render. Each product's photo mockup costs 25 credits once, and each render on it costs 5 credits from the same monthly pool.

Merch Mockups With ChatGPT or Claude: Tee, Mug and Tote

What a merch set needs

A merch set needs one design file and one mockup for each product. The file is the print file you send your print provider, and each mockup carries a print area drawn where that product is printed, so every image shows the print where the buyer will find it.

The design. One transparent PNG, made at the size of the largest print area in the set, usually the tee front. Each render fits it inside the smaller areas, so one file serves the tee, the mug and the tote.
A mockup per product. A photo of each blank product becomes a photo mockup that stays in your account. With no photo of your own, start from the t-shirt mockup templates, mug mockup templates and tote bag mockup templates: Use This Mockup opens the template's photo in your account as a photo mockup. If you sell with PSD templates, the assistant renders on those instead.
A print area per product. Take its place and its shape from the print file your provider asks for on that product, so the mockup shows the print at the size the buyer receives.

The set below uses three blank product photos saved as photo mockups:

Product	Where the print area sits	Area in the photo
White tee, flat lay	Front, centered below the collar	626 x 709 px of a 1536 px photo
White 11 oz mug	The side facing the camera	1810 x 2120 px of a 4131 px photo
Canvas tote on a wall peg	Front panel, below the handles	1020 x 1224 px of a 3584 x 4800 px photo

Save each product as a mockup with its print area

Each product becomes a photo mockup once, with its print area saved on it. In the editor you drag the area into place by eye, and over the API you send it as four corner points in the photo's own pixels.

Without code, open each mockup in My mockups, choose Edit areas, drag the corners to where your provider prints that product, then choose Done. Name it on its card with Rename, such as Merch mug, so an assistant can find it.

Over the API, this is the create request for the mug, with its points from the top left corner clockwise:

curl -X POST https://api.sudomock.com/api/v1/photo-mockups \
  -H "x-api-key: $SUDOMOCK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "source_url": "https://example.com/blanks/white-mug-11oz.jpg",
    "name": "Merch mug",
    "is_async": true,
    "print_areas": [
      { "name": "Front", "points": [[600, 1010], [2410, 1010], [2410, 3130], [600, 3130]] }
    ]
  }'

const response = await fetch('https://api.sudomock.com/api/v1/photo-mockups', {
  method: 'POST',
  headers: {
    'x-api-key': process.env.SUDOMOCK_API_KEY,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    "source_url": "https://example.com/blanks/white-mug-11oz.jpg",
    "name": "Merch mug",
    "is_async": true,
    "print_areas": [
      {
        "name": "Front",
        "points": [
          [
            600,
            1010
          ],
          [
            2410,
            1010
          ],
          [
            2410,
            3130
          ],
          [
            600,
            3130
          ]
        ]
      }
    ]
  }),
});

const data = await response.json();
console.log(data);

import os
import requests

response = requests.post(
    "https://api.sudomock.com/api/v1/photo-mockups",
    headers={
        "x-api-key": os.environ["SUDOMOCK_API_KEY"],
        "Content-Type": "application/json",
    },
    json={
        "source_url": "https://example.com/blanks/white-mug-11oz.jpg",
        "name": "Merch mug",
        "is_async": True,
        "print_areas": [
            {
                "name": "Front",
                "points": [
                    [
                        600,
                        1010,
                    ],
                    [
                        2410,
                        1010,
                    ],
                    [
                        2410,
                        3130,
                    ],
                    [
                        600,
                        3130,
                    ],
                ],
            },
        ],
    },
)

print(response.json())

package main

import (
	"bytes"
	"fmt"
	"io"
	"net/http"
	"os"
)

func main() {
	payload := []byte(`{
  "source_url": "https://example.com/blanks/white-mug-11oz.jpg",
  "name": "Merch mug",
  "is_async": true,
  "print_areas": [
    {
      "name": "Front",
      "points": [
        [
          600,
          1010
        ],
        [
          2410,
          1010
        ],
        [
          2410,
          3130
        ],
        [
          600,
          3130
        ]
      ]
    }
  ]
}`)

	req, err := http.NewRequest("POST", "https://api.sudomock.com/api/v1/photo-mockups", bytes.NewBuffer(payload))
	if err != nil {
		panic(err)
	}
	req.Header.Set("x-api-key", os.Getenv("SUDOMOCK_API_KEY"))
	req.Header.Set("Content-Type", "application/json")

	resp, err := http.DefaultClient.Do(req)
	if err != nil {
		panic(err)
	}
	defer resp.Body.Close()

	body, _ := io.ReadAll(resp.Body)
	fmt.Println(string(body))
}

<?php

$payload = <<<'JSON'
{
  "source_url": "https://example.com/blanks/white-mug-11oz.jpg",
  "name": "Merch mug",
  "is_async": true,
  "print_areas": [
    {
      "name": "Front",
      "points": [
        [
          600,
          1010
        ],
        [
          2410,
          1010
        ],
        [
          2410,
          3130
        ],
        [
          600,
          3130
        ]
      ]
    }
  ]
}
JSON;

$ch = curl_init('https://api.sudomock.com/api/v1/photo-mockups');
curl_setopt_array($ch, [
    CURLOPT_CUSTOMREQUEST => 'POST',
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => [
        'x-api-key: ' . getenv('SUDOMOCK_API_KEY'),
        'Content-Type: application/json',
    ],
    CURLOPT_POSTFIELDS => $payload,
]);

$response = curl_exec($ch);
curl_close($ch);

echo $response;

Follow the status_url it returns until the job succeeds, then read the Front area's print_area_id from the quads of the mockup its result_url returns. Give the three mockups names an assistant can match, such as Merch tee, Merch mug and Merch tote.

An assistant builds the same mockup with create_photo_mockup, which takes the photo's link and a name, then sets the area with update_photo_mockup_print_areas.

A mug needs one decision the tee and the tote do not. It is printed around its body, but a photo from the front shows one side, so its area covers the face toward the camera. A design drawn as a full wrap shrinks to fit that face, so send the mug render the part of the design that faces the buyer, or save a photo of the other side as a second mockup.

Render the set from one message

With the three mockups saved, the whole set is one message. The assistant calls render_photo_mockup once per product with the same design link and answers with an image for each.

Connect SudoMock to ChatGPT or Claude with the steps in Product mockups with ChatGPT or Claude, then ask:

Text

Render this design on my Merch tee, Merch mug and Merch tote
mockups, on each one's print area with fit, as 1024 px JPGs,
and list the image links by product:
https://example.com/designs/rocket.png

Each call names the mockup, its print_area_uuid, the design's artwork_url and fit. Over the API, each product is one render request. This is the tee as we ran it on 22 October 2026, with your own mockup id and print area uuid in place of ours, and the finished image is at data.print_files[0].export_path:

curl -X POST https://api.sudomock.com/api/v1/photo-mockups/be3f4fe3-fd45-494a-9ce4-835b1582e009/render \
  -H "x-api-key: $SUDOMOCK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "print_areas": [
      {
        "uuid": "f75fd6fa-8381-4e6f-b68f-d7447e83fc23",
        "artwork_url": "https://example.com/designs/rocket.png",
        "placement": { "fit": "fit" }
      }
    ],
    "export_options": { "image_format": "jpg", "image_size": 1024 }
  }'

const response = await fetch('https://api.sudomock.com/api/v1/photo-mockups/be3f4fe3-fd45-494a-9ce4-835b1582e009/render', {
  method: 'POST',
  headers: {
    'x-api-key': process.env.SUDOMOCK_API_KEY,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    "print_areas": [
      {
        "uuid": "f75fd6fa-8381-4e6f-b68f-d7447e83fc23",
        "artwork_url": "https://example.com/designs/rocket.png",
        "placement": {
          "fit": "fit"
        }
      }
    ],
    "export_options": {
      "image_format": "jpg",
      "image_size": 1024
    }
  }),
});

const data = await response.json();
console.log(data);

import os
import requests

response = requests.post(
    "https://api.sudomock.com/api/v1/photo-mockups/be3f4fe3-fd45-494a-9ce4-835b1582e009/render",
    headers={
        "x-api-key": os.environ["SUDOMOCK_API_KEY"],
        "Content-Type": "application/json",
    },
    json={
        "print_areas": [
            {
                "uuid": "f75fd6fa-8381-4e6f-b68f-d7447e83fc23",
                "artwork_url": "https://example.com/designs/rocket.png",
                "placement": {
                    "fit": "fit",
                },
            },
        ],
        "export_options": {
            "image_format": "jpg",
            "image_size": 1024,
        },
    },
)

print(response.json())

package main

import (
	"bytes"
	"fmt"
	"io"
	"net/http"
	"os"
)

func main() {
	payload := []byte(`{
  "print_areas": [
    {
      "uuid": "f75fd6fa-8381-4e6f-b68f-d7447e83fc23",
      "artwork_url": "https://example.com/designs/rocket.png",
      "placement": {
        "fit": "fit"
      }
    }
  ],
  "export_options": {
    "image_format": "jpg",
    "image_size": 1024
  }
}`)

	req, err := http.NewRequest("POST", "https://api.sudomock.com/api/v1/photo-mockups/be3f4fe3-fd45-494a-9ce4-835b1582e009/render", bytes.NewBuffer(payload))
	if err != nil {
		panic(err)
	}
	req.Header.Set("x-api-key", os.Getenv("SUDOMOCK_API_KEY"))
	req.Header.Set("Content-Type", "application/json")

	resp, err := http.DefaultClient.Do(req)
	if err != nil {
		panic(err)
	}
	defer resp.Body.Close()

	body, _ := io.ReadAll(resp.Body)
	fmt.Println(string(body))
}

<?php

$payload = <<<'JSON'
{
  "print_areas": [
    {
      "uuid": "f75fd6fa-8381-4e6f-b68f-d7447e83fc23",
      "artwork_url": "https://example.com/designs/rocket.png",
      "placement": {
        "fit": "fit"
      }
    }
  ],
  "export_options": {
    "image_format": "jpg",
    "image_size": 1024
  }
}
JSON;

$ch = curl_init('https://api.sudomock.com/api/v1/photo-mockups/be3f4fe3-fd45-494a-9ce4-835b1582e009/render');
curl_setopt_array($ch, [
    CURLOPT_CUSTOMREQUEST => 'POST',
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => [
        'x-api-key: ' . getenv('SUDOMOCK_API_KEY'),
        'Content-Type: application/json',
    ],
    CURLOPT_POSTFIELDS => $payload,
]);

$response = curl_exec($ch);
curl_close($ch);

echo $response;

For the mug and the tote only the mockup id in the path and the print area uuid change. The average SudoMock render finishes in under a second.

The three renders of 22 October 2026, at 1600 px. The rocket design was made with an AI image model.

White t-shirt flat lay rendered by SudoMock with a retro red rocket, three ringed planets and a curling cloud trail centered on the chest The tee: the rocket file fit in the Front print area below the collar.

White 11 oz ceramic mug on a white background rendered by SudoMock with the same rocket design centered on the side facing the camera, handle on the right The mug: the same file in the area on the side facing the camera.

Natural canvas tote hanging from a wooden wall peg above a bench, rendered by SudoMock with the same rocket design on its front panel The tote: the same file on the front panel below the handles.

Same file, same place, every render

The design matches across the set because every render places the same file and nothing redraws it. Its size on each product follows that product's print area, and nothing else changes.

It matches over time as well. We sent the tee request above twice on 22 October 2026 and got the same file back both times, byte for byte (SHA-256 7234905657fdb195630ee57ec4bf2fa814dd575fa19ec5de50ecbffeeaa6326d), and the mug request did the same. A restock photo, a reprint or a product added to the set months later matches the launch images.

An image generator draws the product and the design again on every attempt. In SudoMock's comparison with an AI image editor on a tee, a mug and a tote, tested on 20 October 2026, Photo Mockups kept the exact design in 9 of 9 cells and the editor in 20 of 36 attempts.

Rules for an assistant that renders merch sets

Four rules let you send only a design link and get the whole set back, one line per product. Paste them into the ChatGPT or Claude project that holds your shop rules.

Text

1. My merch set is the photo mockups whose names start with
   "Merch". Find them with list_photo_mockups and render on
   each one's print area, the one named Front when a mockup
   has several.
2. For every design I send, render it on every mockup in the
   set with render_photo_mockup, fit, as jpg at image_size 1024.
3. Use my design file as it is. Never crop, recolor or redraw
   it, and never make a product image with an image model.
4. Reply with one line per product: product, design and image
   link. Name any product that did not render.

A set built on PSD templates follows the same rules with list_psd_mockups and render_psd_mockup.

Next step

Open a mug mockup template with Use This Mockup, check its print area with Edit areas and rename it Merch mug, do the same for a tee and a tote, then send the message above. Render artwork onto a photo mockup covers the placements beyond fit. To turn the set into Etsy listings with titles and tags, see Etsy listing generator with Claude and SudoMock, and for lifestyle scenes of each product, AI product photography for print on demand.

What a merch set needs

The design. One transparent PNG, made at the size of the largest print area in the set, usually the tee front. Each render fits it inside the smaller areas, so one file serves the tee, the mug and the tote.
A mockup per product. A photo of each blank product becomes a photo mockup that stays in your account. With no photo of your own, start from the t-shirt mockup templates, mug mockup templates and tote bag mockup templates: Use This Mockup opens the template's photo in your account as a photo mockup. If you sell with PSD templates, the assistant renders on those instead.
A print area per product. Take its place and its shape from the print file your provider asks for on that product, so the mockup shows the print at the size the buyer receives.

The set below uses three blank product photos saved as photo mockups:

Product	Where the print area sits	Area in the photo
White tee, flat lay	Front, centered below the collar	626 x 709 px of a 1536 px photo
White 11 oz mug	The side facing the camera	1810 x 2120 px of a 4131 px photo
Canvas tote on a wall peg	Front panel, below the handles	1020 x 1224 px of a 3584 x 4800 px photo

Save each product as a mockup with its print area

Over the API, this is the create request for the mug, with its points from the top left corner clockwise:

curl -X POST https://api.sudomock.com/api/v1/photo-mockups \
  -H "x-api-key: $SUDOMOCK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "source_url": "https://example.com/blanks/white-mug-11oz.jpg",
    "name": "Merch mug",
    "is_async": true,
    "print_areas": [
      { "name": "Front", "points": [[600, 1010], [2410, 1010], [2410, 3130], [600, 3130]] }
    ]
  }'

const response = await fetch('https://api.sudomock.com/api/v1/photo-mockups', {
  method: 'POST',
  headers: {
    'x-api-key': process.env.SUDOMOCK_API_KEY,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    "source_url": "https://example.com/blanks/white-mug-11oz.jpg",
    "name": "Merch mug",
    "is_async": true,
    "print_areas": [
      {
        "name": "Front",
        "points": [
          [
            600,
            1010
          ],
          [
            2410,
            1010
          ],
          [
            2410,
            3130
          ],
          [
            600,
            3130
          ]
        ]
      }
    ]
  }),
});

const data = await response.json();
console.log(data);

import os
import requests

response = requests.post(
    "https://api.sudomock.com/api/v1/photo-mockups",
    headers={
        "x-api-key": os.environ["SUDOMOCK_API_KEY"],
        "Content-Type": "application/json",
    },
    json={
        "source_url": "https://example.com/blanks/white-mug-11oz.jpg",
        "name": "Merch mug",
        "is_async": True,
        "print_areas": [
            {
                "name": "Front",
                "points": [
                    [
                        600,
                        1010,
                    ],
                    [
                        2410,
                        1010,
                    ],
                    [
                        2410,
                        3130,
                    ],
                    [
                        600,
                        3130,
                    ],
                ],
            },
        ],
    },
)

print(response.json())

package main

import (
	"bytes"
	"fmt"
	"io"
	"net/http"
	"os"
)

func main() {
	payload := []byte(`{
  "source_url": "https://example.com/blanks/white-mug-11oz.jpg",
  "name": "Merch mug",
  "is_async": true,
  "print_areas": [
    {
      "name": "Front",
      "points": [
        [
          600,
          1010
        ],
        [
          2410,
          1010
        ],
        [
          2410,
          3130
        ],
        [
          600,
          3130
        ]
      ]
    }
  ]
}`)

	req, err := http.NewRequest("POST", "https://api.sudomock.com/api/v1/photo-mockups", bytes.NewBuffer(payload))
	if err != nil {
		panic(err)
	}
	req.Header.Set("x-api-key", os.Getenv("SUDOMOCK_API_KEY"))
	req.Header.Set("Content-Type", "application/json")

	resp, err := http.DefaultClient.Do(req)
	if err != nil {
		panic(err)
	}
	defer resp.Body.Close()

	body, _ := io.ReadAll(resp.Body)
	fmt.Println(string(body))
}

<?php

$payload = <<<'JSON'
{
  "source_url": "https://example.com/blanks/white-mug-11oz.jpg",
  "name": "Merch mug",
  "is_async": true,
  "print_areas": [
    {
      "name": "Front",
      "points": [
        [
          600,
          1010
        ],
        [
          2410,
          1010
        ],
        [
          2410,
          3130
        ],
        [
          600,
          3130
        ]
      ]
    }
  ]
}
JSON;

$ch = curl_init('https://api.sudomock.com/api/v1/photo-mockups');
curl_setopt_array($ch, [
    CURLOPT_CUSTOMREQUEST => 'POST',
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => [
        'x-api-key: ' . getenv('SUDOMOCK_API_KEY'),
        'Content-Type: application/json',
    ],
    CURLOPT_POSTFIELDS => $payload,
]);

$response = curl_exec($ch);
curl_close($ch);

echo $response;

An assistant builds the same mockup with create_photo_mockup, which takes the photo's link and a name, then sets the area with update_photo_mockup_print_areas.

Render the set from one message

With the three mockups saved, the whole set is one message. The assistant calls render_photo_mockup once per product with the same design link and answers with an image for each.

Connect SudoMock to ChatGPT or Claude with the steps in Product mockups with ChatGPT or Claude, then ask:

Text

Render this design on my Merch tee, Merch mug and Merch tote
mockups, on each one's print area with fit, as 1024 px JPGs,
and list the image links by product:
https://example.com/designs/rocket.png

curl -X POST https://api.sudomock.com/api/v1/photo-mockups/be3f4fe3-fd45-494a-9ce4-835b1582e009/render \
  -H "x-api-key: $SUDOMOCK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "print_areas": [
      {
        "uuid": "f75fd6fa-8381-4e6f-b68f-d7447e83fc23",
        "artwork_url": "https://example.com/designs/rocket.png",
        "placement": { "fit": "fit" }
      }
    ],
    "export_options": { "image_format": "jpg", "image_size": 1024 }
  }'

const response = await fetch('https://api.sudomock.com/api/v1/photo-mockups/be3f4fe3-fd45-494a-9ce4-835b1582e009/render', {
  method: 'POST',
  headers: {
    'x-api-key': process.env.SUDOMOCK_API_KEY,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    "print_areas": [
      {
        "uuid": "f75fd6fa-8381-4e6f-b68f-d7447e83fc23",
        "artwork_url": "https://example.com/designs/rocket.png",
        "placement": {
          "fit": "fit"
        }
      }
    ],
    "export_options": {
      "image_format": "jpg",
      "image_size": 1024
    }
  }),
});

const data = await response.json();
console.log(data);

import os
import requests

response = requests.post(
    "https://api.sudomock.com/api/v1/photo-mockups/be3f4fe3-fd45-494a-9ce4-835b1582e009/render",
    headers={
        "x-api-key": os.environ["SUDOMOCK_API_KEY"],
        "Content-Type": "application/json",
    },
    json={
        "print_areas": [
            {
                "uuid": "f75fd6fa-8381-4e6f-b68f-d7447e83fc23",
                "artwork_url": "https://example.com/designs/rocket.png",
                "placement": {
                    "fit": "fit",
                },
            },
        ],
        "export_options": {
            "image_format": "jpg",
            "image_size": 1024,
        },
    },
)

print(response.json())

package main

import (
	"bytes"
	"fmt"
	"io"
	"net/http"
	"os"
)

func main() {
	payload := []byte(`{
  "print_areas": [
    {
      "uuid": "f75fd6fa-8381-4e6f-b68f-d7447e83fc23",
      "artwork_url": "https://example.com/designs/rocket.png",
      "placement": {
        "fit": "fit"
      }
    }
  ],
  "export_options": {
    "image_format": "jpg",
    "image_size": 1024
  }
}`)

	req, err := http.NewRequest("POST", "https://api.sudomock.com/api/v1/photo-mockups/be3f4fe3-fd45-494a-9ce4-835b1582e009/render", bytes.NewBuffer(payload))
	if err != nil {
		panic(err)
	}
	req.Header.Set("x-api-key", os.Getenv("SUDOMOCK_API_KEY"))
	req.Header.Set("Content-Type", "application/json")

	resp, err := http.DefaultClient.Do(req)
	if err != nil {
		panic(err)
	}
	defer resp.Body.Close()

	body, _ := io.ReadAll(resp.Body)
	fmt.Println(string(body))
}

<?php

$payload = <<<'JSON'
{
  "print_areas": [
    {
      "uuid": "f75fd6fa-8381-4e6f-b68f-d7447e83fc23",
      "artwork_url": "https://example.com/designs/rocket.png",
      "placement": {
        "fit": "fit"
      }
    }
  ],
  "export_options": {
    "image_format": "jpg",
    "image_size": 1024
  }
}
JSON;

$ch = curl_init('https://api.sudomock.com/api/v1/photo-mockups/be3f4fe3-fd45-494a-9ce4-835b1582e009/render');
curl_setopt_array($ch, [
    CURLOPT_CUSTOMREQUEST => 'POST',
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => [
        'x-api-key: ' . getenv('SUDOMOCK_API_KEY'),
        'Content-Type: application/json',
    ],
    CURLOPT_POSTFIELDS => $payload,
]);

$response = curl_exec($ch);
curl_close($ch);

echo $response;

For the mug and the tote only the mockup id in the path and the print area uuid change. The average SudoMock render finishes in under a second.

The three renders of 22 October 2026, at 1600 px. The rocket design was made with an AI image model.

Natural canvas tote hanging from a wooden wall peg above a bench, rendered by SudoMock with the same rocket design on its front panel The tote: the same file on the front panel below the handles.

Same file, same place, every render

The design matches across the set because every render places the same file and nothing redraws it. Its size on each product follows that product's print area, and nothing else changes.

Rules for an assistant that renders merch sets

Four rules let you send only a design link and get the whole set back, one line per product. Paste them into the ChatGPT or Claude project that holds your shop rules.

Text

1. My merch set is the photo mockups whose names start with
   "Merch". Find them with list_photo_mockups and render on
   each one's print area, the one named Front when a mockup
   has several.
2. For every design I send, render it on every mockup in the
   set with render_photo_mockup, fit, as jpg at image_size 1024.
3. Use my design file as it is. Never crop, recolor or redraw
   it, and never make a product image with an image model.
4. Reply with one line per product: product, design and image
   link. Name any product that did not render.

A set built on PSD templates follows the same rules with list_psd_mockups and render_psd_mockup.

Merch Mockups With ChatGPT or Claude: One Design on a Tee, a Mug and a Tote

Key takeaways

What a merch set needs

Save each product as a mockup with its print area

Render the set from one message

Same file, same place, every render

Rules for an assistant that renders merch sets

Next step

Frequently asked questions

What is a merch mockup?

Can ChatGPT or Claude make merch mockups of my exact design?

Do I need a separate design file for each product?

Where does the design go on a mug mockup?

What does it cost to render a merch set?

Sources

Product Mockups With ChatGPT or Claude From One Product Photo

AI Product Photography for Print on Demand: Generate the Scene Once, Render Every Design Exactly

Etsy Listing Generator: Build Your Own With Claude and SudoMock

Explore by use case

Your own PSD, rendered via API

Merch Mockups With ChatGPT or Claude: One Design on a Tee, a Mug and a Tote

Key takeaways

What a merch set needs

Save each product as a mockup with its print area

Render the set from one message

Same file, same place, every render

Rules for an assistant that renders merch sets

Next step

Frequently asked questions

What is a merch mockup?

Can ChatGPT or Claude make merch mockups of my exact design?

Do I need a separate design file for each product?

Where does the design go on a mug mockup?

What does it cost to render a merch set?

Sources

Product Mockups With ChatGPT or Claude From One Product Photo

AI Product Photography for Print on Demand: Generate the Scene Once, Render Every Design Exactly

Etsy Listing Generator: Build Your Own With Claude and SudoMock

Explore by use case

Your own PSD, rendered via API

Key takeaways

What a merch set needs

Save each product as a mockup with its print area

Render the set from one message

Same file, same place, every render

Rules for an assistant that renders merch sets

Next step

Frequently asked questions

What is a merch mockup?

Can ChatGPT or Claude make merch mockups of my exact design?

Do I need a separate design file for each product?

Where does the design go on a mug mockup?

What does it cost to render a merch set?

Sources

Related articles

Product Mockups With ChatGPT or Claude From One Product Photo

AI Product Photography for Print on Demand: Generate the Scene Once, Render Every Design Exactly

Etsy Listing Generator: Build Your Own With Claude and SudoMock

Explore by use case

Your own PSD, rendered via API

Key takeaways

What a merch set needs

Save each product as a mockup with its print area

Render the set from one message

Same file, same place, every render

Rules for an assistant that renders merch sets

Next step

Frequently asked questions

What is a merch mockup?

Can ChatGPT or Claude make merch mockups of my exact design?

Do I need a separate design file for each product?

Where does the design go on a mug mockup?

What does it cost to render a merch set?

Sources

Related articles

Product Mockups With ChatGPT or Claude From One Product Photo

AI Product Photography for Print on Demand: Generate the Scene Once, Render Every Design Exactly

Etsy Listing Generator: Build Your Own With Claude and SudoMock

Explore by use case

Your own PSD, rendered via API