ObjectCut API

Name: ObjectCut API API
Brand: ObjectCut API
Availability: InStock

✓ Official Vendor SpecMediaImage ProcessingapiKey2 EndpointsREST

For Agents

Remove backgrounds or foregrounds from images via URL or upload using AI segmentation, returning the processed image.

Connect the ObjectCut API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the ObjectCut API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Install Jentic One Beta (Self-Hosted)

Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with ObjectCut API API.

Remove the background from an image referenced by URL and return the cutout

Remove the background from an uploaded image submitted as multipart form data

Process product photos at scale to produce consistent transparent backgrounds

Strip backgrounds from user-submitted photos before storing them in a CMS

GET STARTED

Start building with ObjectCut API API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use ObjectCut API API for, with concrete tasks.

★ E-commerce product image cleanup

Standardise product imagery across an online store by sending each photo URL to POST /api/v1/remove-background and storing the returned cutout. ObjectCut applies AI segmentation, which handles glossy surfaces and soft edges better than a fixed threshold mask, so a catalogue manager can run a batch over thousands of SKUs without manual retouching. The pipeline cuts hours of designer time per product launch.

For each URL in a product image list, call POST /api/v1/remove-background and save the returned cutout to the catalogue store

User-generated content moderation pipelines

Strip backgrounds from user-uploaded photos before they are stored or displayed by sending the upload through POST /api/v1/remove-background/upload. The endpoint accepts multipart form data, so a moderation worker can handle images directly from a form post without needing a public URL. The cleaner output simplifies downstream face detection and classification.

POST a user-submitted image to /api/v1/remove-background/upload and store the cutout for downstream moderation review

Creative tool integration

Add a one-click 'remove background' feature to a design or content tool by wiring the user's selected image through ObjectCut. The API returns the processed image directly, which lets the tool drop it back onto the canvas with transparency preserved. Because both URL and upload variants exist, the integration handles assets from cloud libraries and local pickers.

When a user clicks 'remove background', POST the active image to /api/v1/remove-background/upload and replace the canvas image with the response

AI agent integration via Jentic

A creative agent searches Jentic for background removal, loads the POST /api/v1/remove-background schema, and processes incoming product images for a daily catalogue update. The agent references a list of URLs, calls the endpoint per image, and writes the output to a designated bucket. Jentic supplies the validated schema so the agent can build the pipeline without reading the RapidAPI listing manually.

Use Jentic to search 'remove image background', load POST /api/v1/remove-background, and execute it for each URL in the daily product image queue

Key Endpoints

2 endpoints — objectcut is an image background and foreground removal api distributed through the rapidapi marketplace.

METHOD

PATH

DESCRIPTION

POST

/api/v1/remove-background

Remove background from an image referenced by URL

POST

/api/v1/remove-background/upload

Remove background from an uploaded image (multipart)

POST

/api/v1/remove-background

Remove background from an image referenced by URL

POST

/api/v1/remove-background/upload

Remove background from an uploaded image (multipart)

Why though Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

RapidAPI keys are stored encrypted in the Jentic vault (MAXsystem) and added to the x-rapidapi-key header at execution time. The agent never sees the raw key in its prompt or logs.

Intent-based discovery

Agents search Jentic with intents like 'remove image background' and Jentic returns the matching ObjectCut operation with its parameter schema, so the agent can call the right variant without reading the RapidAPI page.

Time to first call

Direct integration: half a day to onboard via RapidAPI, wire the header, and handle multipart uploads. Through Jentic: under an hour to discover the operation, load the schema, and process the first image.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

remove.bg API

The most established AI background removal API — broader plan tiers and direct (non-RapidAPI) distribution

Choose this when the agent needs higher volume or direct vendor billing rather than RapidAPI marketplace distribution

Alternative

PhotoRoom API

AI image editing focused on product photography — adds shadow generation and scene placement on top of cutouts

Choose this when the agent needs not just a cutout but a styled product scene

Complementary

Cloudinary Upload API

Image storage, transformation, and CDN — pair with ObjectCut to host and serve the cutouts

Choose this when the agent needs a delivery pipeline for the processed images

FAQs

Specific to using ObjectCut API API through Jentic.

What authentication does the ObjectCut API use?

ObjectCut is distributed through RapidAPI and authenticates with the x-rapidapi-key header on every call to /api/v1/remove-background and /api/v1/remove-background/upload. Through Jentic the RapidAPI key is held in the vault (MAXsystem) and injected at execution time so it never enters the agent's prompt context.

Can I send an image URL or do I need to upload the file?

Both. POST /api/v1/remove-background accepts an image URL in the body, while POST /api/v1/remove-background/upload accepts the image as multipart form data. Pick the URL variant when the image is already hosted publicly and the upload variant when you have raw bytes from a form or local file.

Does ObjectCut handle complex edges like hair?

Yes. The AI segmentation model is designed to handle hair, fur, and similarly soft boundaries, which is why it ships behind a single endpoint rather than a tunable threshold. Results are returned as the processed image so the agent can store or display it directly.

What are the rate limits for the ObjectCut API?

The OpenAPI spec does not publish explicit rate limits. ObjectCut throttles per RapidAPI plan tier — check your RapidAPI subscription for monthly request and concurrency limits. Through Jentic, the agent loop can pace calls so a batch run does not breach the plan.

How do I remove a product photo background through Jentic?

Install the SDK with pip install jentic, search 'remove image background', load POST /api/v1/remove-background, and execute it with the public image URL. Jentic returns the processed image bytes so the agent can write the cutout to its catalogue store.

Can I use ObjectCut for foreground removal as well?

The API description covers both background and foreground removal. The published endpoints are framed as remove-background; if you need a different layer mode, check the RapidAPI listing for parameter options or contact ObjectCut. The Jentic schema reflects whichever fields the spec exposes.