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AI product photos, on-model photos and product videos for online stores · India

EcomShot: Revenue, team and how it was built

Solo founderB2BE-commerce

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.Added 6 November 2026

Outcome
US$2.36K total verified revenue, November 2026Revenue falling
Evidence
A disclosed by a company or a filing, or verified by a payment processor
Launch
October 2025
Status
Still running
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 channel
Not stated

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.

EcomShot: US$2.36K total verified revenue, November 2026. AI product photos, on-model photos and product videos for online stores, India, solo founder, evidence grade A.
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01

How much revenue does EcomShot make?

Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.

US$2,364 of verified revenue in the first year of a one-person AI product-photo app, with no month above US$523
FactValueGradeHow we knowSources
Verified revenue, all time to 6 November 2026US$2,364ATrustMRR 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 2026US$2,236.44calcCalculated 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 monthUS$523, September 2026ATrustMRR monthly revenue timeline. The only other month above US$300 was May 2026 with US$452.[1]
Verified revenue, October 2026US$112ATrustMRR 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 202678.6%calcCalculated: (112 minus 523) divided by 523. TrustMRR shows last-30-days revenue growth of -45.5%.[1]
First month with revenueUS$28.44, December 2025ATrustMRR monthly timeline. Monthly revenue from January to August 2026 ranged from US$107 to US$452.[1]
MRR, 6 November 2026US$157 from 6 active subscriptionsATrustMRR metric snapshot. That is about US$26.17 per subscription (calculated), between the Starter and Creator prices.[1, 3]
Run rate from the MRRabout US$1,884 a yearcalcCalculated: 157 times 12. Credits bought outside subscriptions are not included.[1]
Profit margin, last 30 days70%CTrustMRR snapshot. The revenue is verified; the costs behind the margin are not shown as verified.[1]
Visitors, last 30 days280CTrustMRR snapshot; Google Analytics and Google Search Console are connected to the profile. Revenue per visitor US$0.37.[1]
For-sale listingasking US$5,000, listed since 13 March 2026CTrustMRR 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 date1 November 2025CTyped 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"CHome page claim; the TrustMRR profile gives an estimated user count of 2,000, also typed by the founder. Not verified.[2, 1]
PricesUS$0, US$10, US$24 and US$49 a month, billed yearlyCPricing page, 6 November 2026. Monthly-billing prices load by script.[3]
Team1 named personCThe 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 figure13 monthscalcCalculated: 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.

EcomShot plans on 6 November 2026, read from the company's pricing page with the yearly switch selected (grade C)
PlanPer month, billed yearly (US$)Per month, billed monthly (US$)Limit
Free005 credits on sign-up, HD downloads
Starter1060 credits a month (60 product photos or 30 model photos), 2K downloads
Creator24200 credits a month, 33 five-second videos, bulk creation, Shopify push, 4K downloads
Pro49600 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.

02

When did EcomShot launch, and how did it grow?

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.

  1. 12 October 2025CThe terms of service carry this "Last updated" date. They say that customers own the images they generate and that consumed credits are not refunded. [6]
  2. 26 October 2025CFirst 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. [8]
  3. 1 November 2025CFounded date that the founder entered on TrustMRR. [1]
  4. December 2025AFirst verified revenue: US$28.44. [1]
  5. 13 March 2026CListed for sale on TrustMRR, asking US$5,000. [1]
  6. May 2026AUS$452 of verified revenue, the best month until then. [1]
  7. September 2026AUS$523, the best month so far. [1]
  8. October 2026AUS$112 from three payments. [1]
  9. 6 November 2026AUS$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. [1, 2, 3]
03

Why did EcomShot work?

Four causes, in the order they mattered. Each one is a reusable lesson.

01

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.

02

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.

03

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. [1, 6, 4, 3, 2]

  • 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.

Tools named in the sources

Each one opens its page in the Tools tab, with every story that uses it.

04

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.

Died 2005 to 2012Burned US$3.5M

Picnik

The 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+.

Competition
Died 2006 to 2009Burned US$20K

Snipshot

The 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.

Competition
Died 2007 to 2010Burned US$20K

Splashup

The 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.

Product/Tech Failure
Died 1998 to 2000Burned US$135M

Boo.com

The 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.

Ran Out of Cash

The failed startups come from our database of 1,749 dead startups, retold here in our own words. Its entries are AI-assisted summaries of public sources, so these cards carry no evidence grade.

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.

05

Can one person copy EcomShot now?

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.

Where it 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.

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

What could go wrong for EcomShot?

The risks are the mirror image of the causes above.

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

The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.

  1. A TrustMRR profile: ecomshot.ai, revenue last synced 6 November 2026
    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. C EcomShot home page, read 6 November 2026
    Read in full. Source for the features, the platforms named, the testimonials, the counters and the contact address.
  3. C EcomShot pricing page, read 6 November 2026
    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. C EcomShot FAQ, read 6 November 2026
    Read in full. Source for the credit rules, image ownership and the adult-content scan.
  5. C EcomShot AI Model Photography page, read 6 November 2026
    Read in full. Source for the AI-generated and uploaded models.
  6. C EcomShot terms of service, last updated 12 October 2025
    Read the sections on image ownership, payments, refunds and upstream providers.
  7. C EcomShot free AI tools page, read 6 November 2026
    Read in full. Source for the four editing tools and the "10M+ Images Processed" claim.
  8. C Internet Archive copy of ecomshot.ai, 26 October 2025
    Read in full. The earliest archived copy; source for the launch prices and the first headline.
  9. C Database of failed startups, local export
    Local export. AI-written summaries, not independently verified. Source for the failed predecessors.

Run this company? Send corrections or a verified figure to aiolum@livyden.com

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