# EcomShot

Aiolum story: https://aiolum.com/story/ecomshot/ · added 2026-11-06 · updated 2026-11-06

**In short.** EcomShot (AI product photos, on-model photos and product videos for online stores, India): US$2.36K total verified revenue, November 2026. Evidence grade A: disclosed by a company or a filing, or verified by a payment processor. Team: 1 named founder, Sujith (sujithdevx on TrustMRR); headcount not published. Launched October 2025; still running, revenue falling.

AI product photos, on-model photos and product videos for online stores · India · AI-native · solo founder · still running, revenue falling · group: Photos and portraits

- Outcome: US$2.36K total verified revenue, November 2026 (evidence grade of the headline number: A; headline in US dollars: 2364)
- Launch: October 2025; months from launch to the outcome: 13
- Team: 1 named founder, Sujith (sujithdevx on TrustMRR); headcount not published
- Outside funding: None found in any source; listed for sale on TrustMRR since March 2026
- Main factor: Niche
- Meters, 1 to 4: evidence strength 3, copyable pattern 3, capital needed 1
- Tags: AI-native, Solo founder, Bootstrapped, Running, B2B, E-commerce

Links:

- Visit ecomshot.ai: https://ecomshot.ai/
- Verified revenue on TrustMRR: https://trustmrr.com/startup/ecomshot-ai

**The product.** A web app for online sellers. The seller uploads one phone photo of a product and gets studio-style product photos, photos of the product on an AI-generated or uploaded human model, short product videos and ghost-mannequin shots. Side tools remove or change backgrounds, upscale images and erase objects. Each image costs credits; plans run from US$0 to US$49 a month, and photos can be pushed to a Shopify store.

**Why it worked.** A product photo shoot with a studio, a photographer and models is a fixed cost that small Etsy, Amazon and Shopify sellers often cannot pay for each product. Image models can now place a product in a scene or on a person from one photo, so one developer can sell that result as a subscription. The verified revenue is small: US$2,364 in its first year, with no month above US$523.

Evidence grades: A = disclosed by a public company, a filing or a payment processor, or verified by one; B = two or more independent reports agree, or a journalist confirmed it; C = a founder claim that no one else verified; D = reported, not verified: one founder claim or a third-party estimate with no second source; E = no revenue figure found, so the headline is a non-money fact and the other facts carry their own grades; calc = computed on this page from graded facts.

## Summary

EcomShot sells AI product photography: an image model takes a plain photo of a product and generates new photos of the same product in a studio or lifestyle scene. It also makes on-model photos, pictures of a garment or accessory worn by a person, here a person generated by AI or a model photo that the seller uploads, and ghost-mannequin shots, catalog pictures in which a garment keeps its worn shape but no body or mannequin is visible. The site names Shopify, Amazon, Etsy, eBay and WooCommerce sellers as its users and offers a one-click push to Shopify.

The site names one person, Sujith, as the contact in its footer, terms and privacy policy; TrustMRR lists him as the founder, in India. An archived copy shows the product live with paid plans on 26 October 2025, and the terms are dated 12 October 2025. TrustMRR, a site that reads revenue directly from a company's payment provider through an API key, shows US$2,364 of revenue from Dodo Payments in total by 6 November 2026, the first US$28.44 in December 2025, and MRR (monthly recurring revenue, the subscription income expected each month) of US$157 from 6 active subscriptions.

The headline number is grade A, but it is small and uneven: the best month was September 2026 with US$523, and October 2026 brought US$112 from three payments. The founder has listed the business for sale on TrustMRR since 13 March 2026, asking US$5,000. The home page shows testimonials and counters that no source confirms; the "watch" section lists them. The page also shows four failed companies that sold photo editing in the browser before AI could generate the photos.

## Pricing

EcomShot plans on 6 November 2026, read from the company's pricing page with the yearly switch selected (grade C)

| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Free | 0 | 0 | 5 credits on sign-up, HD downloads |
| Starter | 10 |  | 60 credits a month (60 product photos or 30 model photos), 2K downloads |
| Creator | 24 |  | 200 credits a month, 33 five-second videos, bulk creation, Shopify push, 4K downloads |
| Pro | 49 |  | 600 credits a month, 100 five-second videos, bulk creation, Shopify push, 4K downloads |

The pricing page loads with the Yearly switch selected and shows, for example, "$10 /month" and "$120 billed annually" for Starter. The switch says yearly billing gives "2 months free"; the monthly prices are drawn by a script when the switch is changed and could not be read, so the monthly column is empty. One credit buys one product photo; a model photo costs two credits. On 26 October 2025 the archived home page showed lower launch prices: Starter US$9, Creator US$19 and Pro US$49 a month, with 50, 150 and 500 photos.

## How much revenue does EcomShot make? The numbers, graded

US$2,364 of verified revenue in the first year of a one-person AI product-photo app, with no month above US$523

| Fact | Value | Grade | Note | Sources |
|---|---|---|---|---|
| Verified revenue, all time to 6 November 2026 | US$2,364 | A | TrustMRR profile, from Dodo Payments through an API key; Dodo is not the merchant of record. Revenue last synced 6 November 2026 at 02:41 UTC. The last-12-months figure is the same. | [1] |
| Sum of the monthly timeline, December 2025 to November 2026 | US$2,236.44 | calc | Calculated from the twelve monthly figures on the profile. It is US$127.56 below the all-time figure; the profile does not explain the gap. | [1] |
| Best month | US$523, September 2026 | A | TrustMRR monthly revenue timeline. The only other month above US$300 was May 2026 with US$452. | [1] |
| Verified revenue, October 2026 | US$112 | A | TrustMRR monthly timeline. The daily table shows three payments in the 30 days to 6 November: US$12.48, US$90.67 and US$9.00. | [1] |
| Fall from September to October 2026 | 78.6% | calc | Calculated: (112 minus 523) divided by 523. TrustMRR shows last-30-days revenue growth of -45.5%. | [1] |
| First month with revenue | US$28.44, December 2025 | A | TrustMRR monthly timeline. Monthly revenue from January to August 2026 ranged from US$107 to US$452. | [1] |
| MRR, 6 November 2026 | US$157 from 6 active subscriptions | A | TrustMRR metric snapshot. That is about US$26.17 per subscription (calculated), between the Starter and Creator prices. | [1, 3] |
| Run rate from the MRR | about US$1,884 a year | calc | Calculated: 157 times 12. Credits bought outside subscriptions are not included. | [1] |
| Profit margin, last 30 days | 70% | C | TrustMRR snapshot. The revenue is verified; the costs behind the margin are not shown as verified. | [1] |
| Visitors, last 30 days | 280 | C | TrustMRR snapshot; Google Analytics and Google Search Console are connected to the profile. Revenue per visitor US$0.37. | [1] |
| For-sale listing | asking US$5,000, listed since 13 March 2026 | C | TrustMRR acquisition section, entered by the seller, who says he is selling "to focus on other projects". TrustMRR shows 15 offers received. The asking price is 2.1 times the all-time revenue (calculated). | [1] |
| Founded date | 1 November 2025 | C | Typed by the founder into the TrustMRR profile. The site was live with paid plans earlier, on 26 October 2025 (archived copy), and the terms are dated 12 October 2025. | [1, 6, 8] |
| Users | "Trusted by 2,000+ e-commerce sellers" | C | Home page claim; the TrustMRR profile gives an estimated user count of 2,000, also typed by the founder. Not verified. | [2, 1] |
| Prices | US$0, US$10, US$24 and US$49 a month, billed yearly | C | Pricing page, 6 November 2026. Monthly-billing prices load by script. | [3] |
| Team | 1 named person | C | The footer, FAQ, terms and privacy policy give one contact address, sujith@ecomshot.ai; TrustMRR lists one founder. No source gives a headcount. | [2, 4, 6, 1] |
| Time from launch to the headline figure | 13 months | calc | Calculated: October 2025 to November 2026. | [1, 8] |

How to read this table: a grade A value comes from Dodo Payments, the payment provider, through TrustMRR's connection to the company's account. A grade C value is a statement by the company on its own pages, or a value that the founder typed into his TrustMRR profile. A "calc" value was computed on this page from the rows above it.

## When did EcomShot launch, and how did it grow? Timeline

From a live site with launch prices in October 2025 to US$2,364 of verified revenue and a for-sale listing in November 2026, in 13 months. Each entry carries its grade.

- **12 October 2025** (grade C [6]): The terms of service carry this "Last updated" date. They say that customers own the images they generate and that consumed credits are not refunded.
- **26 October 2025** (grade C [8]): First archived copy of the site: "Create Store-Ready Product Photos with AI in seconds", 3 free photos, Starter US$9, Creator US$19 and Pro US$49 a month, with a "Launch Offer" to lock in the price.
- **1 November 2025** (grade C [1]): Founded date that the founder entered on TrustMRR.
- **December 2025** (grade A [1]): First verified revenue: US$28.44.
- **13 March 2026** (grade C [1]): Listed for sale on TrustMRR, asking US$5,000.
- **May 2026** (grade A [1]): US$452 of verified revenue, the best month until then.
- **September 2026** (grade A [1]): US$523, the best month so far.
- **October 2026** (grade A [1]): US$112 from three payments.
- **6 November 2026** (grade A [1, 2, 3]): US$2,364 of verified revenue in total, MRR of US$157 from 6 subscriptions. The site now sells on-model photos, product videos, ghost-mannequin shots and four editing tools, at US$10 to US$49 a month billed yearly.

## Why did EcomShot work?

### One photo in, a set of listing images out

The seller takes a phone photo with any background. The app isolates the product, the seller picks a scene, style or model, and the app returns high-resolution images in about 30 seconds, according to the home page. That replaces a studio day with a web form.

### Credits on a subscription

Every plan is a monthly credit allowance: one product photo costs one credit, a model photo two, and a video more. The model provider charges for each generation, so credits tie the price to the cost of each image.

### Many landing pages for many product types

The site map lists 14 category pages (jewelry, candles, perfume, books and others), 4 free tool pages and 4 feature pages. No source says how customers found the product; TrustMRR shows 280 visitors in the last 30 days.

## How it was built

These details come from the founder's TrustMRR profile and the company's own pages. They are grade C, except the payment provider, which TrustMRR confirms through its connection.

- Front end in Next.js and Tailwind CSS; back end in Python with FastAPI, PostgreSQL and Prisma, as the founder lists on TrustMRR.
- Payments through Dodo Payments, connected to TrustMRR with an API key.
- Image and video generation runs on outside providers that the terms do not name: "Our upstream providers do not permit refunds for the GPU processing time".
- Uploaded images are scanned for adult content and rejected when flagged, according to the FAQ.
- Generated photos can be pushed to a Shopify store from the app; the Creator and Pro plans include this.
- The pages load Google Analytics, and the TrustMRR profile has Google Analytics and Google Search Console connected.

Sources: [1, 6, 4, 3, 2]

## Who tried this before EcomShot, and why did they fail?

Four companies in our database of failed startups tried to make good photos cheap and easy for people without a studio or Photoshop, before AI could generate the photo. The values below are from that database and are not independently verified.

The failed startups come from our database of dead startups, retold here in our own words; Its entries are AI-assisted summaries of public sources, so they carry no evidence grade.

### Picnik (2005 to 2012; funding US$3.5M; cause: Competition)

- Promise: Photo editing in the browser, without installing software.
- Why it died: Google bought it and closed it when it moved photo editing into Google+.
- Record: 

### Snipshot (2006 to 2009; funding US$20K; cause: Competition)

- Promise: Simple photo editing in the browser, without Adobe software.
- Why it died: Larger rivals and free tools offered more; the simple editor had no edge.
- Record: 

### Splashup (2007 to 2010; funding US$20K; cause: Product/Tech Failure)

- Promise: Online photo editing with real-time collaboration.
- Why it died: It was built on Flash and had no business model when the web moved to HTML5 and phones.
- Record: 

### Boo.com (1998 to 2000; funding US$135M; cause: Ran Out of Cash)

- Promise: A fashion shop online with magazine-quality product images and 3D views.
- Why it died: The heavy images needed broadband when customers had dial-up; it spent US$135 million in 18 months.
- Record: 

## What changed

The three browser editors helped people fix a photo they had already taken, and free tools soon did the same, so their price could not hold. Boo.com shows the other side: rich product images sold clothes, but making them and showing them cost far more than the shop earned.

Image models change the first part: they generate the scene, the model and the lighting from one plain photo, which an editor could not do. The cost moves from a photo shoot to a few cents of GPU time per image, which a credit plan can pass on. The second lesson still holds for EcomShot: free background removers and many other AI photo apps sell the same result, and the verified revenue shows that one developer has not yet found many paying sellers.

## Can one person copy EcomShot now?

**Verdict: Yes, the product is easy to build; finding buyers is the hard part.**

One developer built and runs it with a common web stack and outside image models, so the build is copyable. The verified figures show the limit: US$2,364 in a year and 6 active subscriptions. A copy needs a narrower buyer or a distribution channel that this story does not show.

1. Pick one product type whose sellers pay for photos, such as jewelry or apparel, and show before-and-after pairs for it.
2. Price in credits so that each generated image covers its model cost.
3. Connect to the store platform the sellers use, as EcomShot does with Shopify.
4. Publish verified revenue, as on TrustMRR, so that a later buyer can trust the numbers.

**What is still open.** Photo sets made for the rules of one marketplace (white backgrounds, sizes, angles), and image work that sellers repeat for every new product.

## What could go wrong for EcomShot?

- **Small and falling revenue.** All-time verified revenue is US$2,364. September 2026 brought US$523, October US$112 and the last 30 days three payments. The twelve monthly figures add up to US$2,236.44, US$127.56 less than the all-time total, and the profile does not say why. The founder has offered the business for sale since March 2026.
- **Testimonials, rating and counters not confirmed.** The home page shows three testimonials with a first and last name and a job title but no company or store ("Sarah Mitchell, Founder", "James Park, E-commerce Manager", "Priya Sharma, Operations Lead"), a rating of "4.9/5" with no source, and "50,000+ Photos Generated". The tools page claims "10M+ Images Processed" for the background remover, which is far larger than the home page counter. No source this page read confirms any of them.
- **AI models and uploaded model photos.** On-model photos use either an AI-generated person, chosen "by gender, age, and ethnicity", or a model photo that the seller uploads "to keep a consistent face across your catalog". The pages read do not say that the seller needs the consent of the person in an uploaded photo. The photos show a garment on a model; they are not sold as customer reviews or testimonials.
- **Competition.** On this site PureZap sells AI backgrounds for marketplace product photos with US$43.53 of verified revenue in total, and Genlook sells AI virtual try-on to fashion stores with a much larger recurring revenue; free background removers do part of the same work.
- **Dependence on model providers.** The terms say that "Our upstream providers do not permit refunds for the GPU processing time", so the images come from outside model providers, which no page names. A price rise or a change in their terms would hit the 70% margin that TrustMRR shows.
- **Prices and FAQ changed.** Launch prices on 26 October 2025 were US$9, US$19 and US$49 a month; today they are US$10, US$24 and US$49 billed yearly. The FAQ says "AI Product Photography is available on paid plans", while the pricing page lists "AI Product Photography access" in the free plan.

## Sources

1. TrustMRR profile: ecomshot.ai, revenue last synced 6 November 2026 — https://trustmrr.com/startup/ecomshot-ai.md (grade A). Read the markdown profile. Revenue figures from Dodo Payments through an API key (grade A); founder, founded date, tech stack, user estimate and listing text are entered by the founder (grade C).
2. EcomShot home page, read 6 November 2026 — https://ecomshot.ai/ (grade C). Read in full. Source for the features, the platforms named, the testimonials, the counters and the contact address.
3. EcomShot pricing page, read 6 November 2026 — https://ecomshot.ai/pricing (grade C). Read in full, including the page source. The yearly switch is selected on load; monthly prices are drawn by a script and could not be read.
4. EcomShot FAQ, read 6 November 2026 — https://ecomshot.ai/faq (grade C). Read in full. Source for the credit rules, image ownership and the adult-content scan.
5. EcomShot AI Model Photography page, read 6 November 2026 — https://ecomshot.ai/ai-model-photography (grade C). Read in full. Source for the AI-generated and uploaded models.
6. EcomShot terms of service, last updated 12 October 2025 — https://ecomshot.ai/terms-of-service (grade C). Read the sections on image ownership, payments, refunds and upstream providers.
7. EcomShot free AI tools page, read 6 November 2026 — https://ecomshot.ai/tools (grade C). Read in full. Source for the four editing tools and the "10M+ Images Processed" claim.
8. Internet Archive copy of ecomshot.ai, 26 October 2025 — https://web.archive.org/web/20251026194247/https://ecomshot.ai/ (grade C). Read in full. The earliest archived copy; source for the launch prices and the first headline.
9. Database of failed startups, local export — /method/#dead (grade C). Local export. AI-written summaries, not independently verified. Source for the failed predecessors.

Contact: aiolum@livyden.com. Run EcomShot? Send corrections or a verified figure to aiolum@livyden.com (subject: Correction: EcomShot).