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PhotoRoom

AI

Give AI agents production-grade image editing with PhotoRoom. Agents remove backgrounds, generate AI lifestyle backgrounds, add shadows, upscale, expand, and relight product photos, and strip unwanted text, saving every result to FlowRunner file storage.

12 actions API key available
PhotoRoom website ↗ Platform Documentation ↗ Capability data verified 2026-07-27
A batch of new products with raw supplier photos lands in the catalog feed
Get Account reads the remaining image credits before anything spends them
Remove Background produces clean cutouts for the first ten SKUs, saved to FlowRunner file storage
Generate AI Background places each product into the season's lifestyle scene with AI shadow and relighting
The sample results are collected alongside the credit cost of running the full batch
The merchandiser reviews the sample against brand standards and approves the full run
Create Product Photo (Clothing) handles the apparel SKUs with ghost mannequin treatment as the batch completes
The finished set posts to the merchandising channel with durable, storefront-ready URLs

What This Integration Enables

Product photography is the last manual step in most catalog pipelines: the data flows, the images queue. PhotoRoom turns the editing into API calls, and this connector wires them into your flows with the storage problem already solved: every result is saved to FlowRunner file storage and returned as a durable URL, ready for a storefront, a PIM, or the next step. FlowRunner agents remove backgrounds, generate AI lifestyle scenes with matching shadows and relighting, upscale and expand images, strip watermarks and scene text, blur backgrounds, beautify product shots, and turn raw apparel photos into flat-lay or ghost mannequin images. The pipeline shape that emerges: - Durable URLs by default, so storefronts and PIMs never inherit an expiring link - Sample-first batching: ten SKUs and the credit arithmetic before three thousand commit - Apparel modes that replace the mannequin session for the catalog's long tail - One treatment configuration applied identically across every SKU in the run Because every successful call consumes credits from a finite pool, this is automation that deserves a meter and a gate. Get Account is the meter. The [human-in-the-loop](/concepts/human-in-the-loop) approval on sample output before a batch run is the gate, and it is also where brand judgment lives: an agent can apply a treatment consistently, but deciding the treatment fits the brand is a person's call.

Without FlowRunner

Product photos gated by a retoucher Every new SKU waits in an editing queue measured in days
Inconsistent listings Backgrounds, shadows, and crops vary by whoever edited each image
Credits burned blind Batch jobs run without anyone checking the pool or the output first

With FlowRunner

Editing at feed speed Cutouts, lifestyle scenes, and apparel shots generate as products arrive
One look across the catalog The same treatment, prompt, and shadow settings apply to every SKU
Spend checked, sample approved Get Account meters the pool and a person signs off before the batch runs

Use Case Scenarios

The catalog that edits itself

A new product appears in [Shopify](/integrations/shopify). The agent pulls the supplier photo, runs Remove Background with auto-crop for the marketplace-ready cutout, then Generate AI Background for the lifestyle variant used on the homepage and in email. Both results come back as durable URLs and flow straight into the product record. The listing goes live with finished imagery the same hour the product arrives, not after the retouching queue clears.

Apparel drops without the mannequin session

A fashion retailer photographs garments flat on arrival. Create Product Photo (Clothing) turns each raw shot into a ghost mannequin image, with Ironing mode cleaning wrinkles on the ones that need it, and the results publish to [BigCommerce](/integrations/bigcommerce). The studio session that used to gate every drop becomes an exception for hero products, while the long tail ships with consistent, professional imagery from day one.

Rescuing the assets you already have

Marketing inherits a folder of old campaign images: low resolution, watermarked, wrong aspect ratios. The agent runs Remove Text to strip the overlaid captions, Upscale Image at 2x or 4x for print-worthiness, and Expand Image to outpaint the square crops into the banner sizes the new site needs, with Relight Image evening out the mixed lighting. What would have been a reshoot becomes an afternoon batch job with a durable URL for every rescued asset.

Human-in-Loop Highlight

Every action in this connector except Get Account spends credits that do not come back: Remove Background costs 1 credit per successful call and the v2 editing operations cost 5, so a 3,000-SKU catalog refresh commits 15,000 credits before anyone sees result number eleven. That is why FlowRunner batch flows here run sample-first. The agent processes ten representative SKUs, then presents two things side by side: the sample images and the arithmetic, current pool from Get Account against the projected cost of the full run. The merchandiser judges both, because the expensive failure is not a failed call, failed requests are free, it is a technically successful batch in the wrong style, which costs the credits and then costs the do-over. A person approves the look and the spend together, and only then does the batch run.

Agent processes routinely
Detects exception requiring judgment
Clear match Continues automatically
Ambiguous Routes to human via preferred channel
Human decides
Agent resumes with decision

Agent Capabilities

12 actions

Background and Scene

4
  • Remove Background Cuts the subject from its background and saves the result to file storage, with output format, alpha mask, solid color placement, canvas sizing, auto-crop, and despill options. 1 credit per successful call.
  • Generate AI Background Replaces the background with an AI-generated scene from a text prompt, or composites onto a supplied image, with optional AI shadow and relighting. The lifestyle-shot generator.
  • Add Shadow Adds an AI drop shadow beneath the cutout subject with tunable softness, intensity, spread, and direction.
  • Blur Background Keeps the subject sharp over a Gaussian or bokeh blurred background with adjustable radius.

Enhancement

5
  • Relight Image Applies AI relighting in place or against a new background, with modes for general use, color preservation, or portraits.
  • Beautify Image Enhances product appeal with a general mode or modes tuned for food and cars.
  • Upscale Image Raises resolution 2x or 4x with AI upscaling, optionally removing the background in the same call.
  • Expand Image Outpaints beyond the original borders to a larger target size, generating plausible new canvas.
  • Remove Text Erases text by AI inpainting, targeting overlays and watermarks, natural scene text, or both.

Composed Edits

2
  • Edit Image The all-in-one editing call: background removal, new solid, AI, or image background, shadows, relighting, outlines, padding, positioning, and export format in a single pass. 5 credits per successful call, like the other v2 operations.
  • Create Product Photo (Clothing) Turns a raw apparel photo into Flat Lay, Ghost Mannequin, or Ironing output, with optional guiding prompt and aspect-ratio sizing.

Account

1
  • Get Account Reads the plan and the available and subscription credits. The meter every batch flow checks before it spends.

Frequently Asked Questions

What can FlowRunner do with PhotoRoom?

FlowRunner agents can run Remove Background, Edit Image, and Generate AI Background in PhotoRoom, plus 9 more actions.

Does connecting PhotoRoom to FlowRunner require OAuth?

No. PhotoRoom connects to FlowRunner with an API key, no OAuth flow required.

Can PhotoRoom trigger a FlowRunner workflow automatically?

PhotoRoom doesn't currently expose triggers in FlowRunner. It connects as an action step inside workflows started by another trigger.

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