Install Jentic One Beta
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.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fobjectcut.com%2Fobjectcut" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fobjectcut.com%2Fobjectcut" | sh
jentic register # connects your agent to your Jentic One instanceJentic 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.
What an agent can do with ObjectCut 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
Handle complex edges such as hair and fur using the AI segmentation model
GET STARTED
Patterns agents use ObjectCut 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
2 endpoints — objectcut is an image background and foreground removal api distributed through the rapidapi marketplace.
METHOD
PATH
DESCRIPTION
/api/v1/remove-background
Remove background from an image referenced by URL
/api/v1/remove-background/upload
Remove background from an uploaded image (multipart)
/api/v1/remove-background
Remove background from an image referenced by URL
/api/v1/remove-background/upload
Remove background from an uploaded image (multipart)
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the ObjectCut API by hand means holding a RapidAPI key, adding it to the x-rapidapi-key header, pointing at the objectcut.p.rapidapi.com host, and coding your own retry handling. Through Jentic you install once, import the ObjectCut API from the API Directory, store the key once, and your agent calls it.
Permission scoping
ObjectCut exposes only background and foreground removal, so scope it by operation: limit the agent to the removal operations it needs, such as the URL-based removal or the upload variant, and leave the other out unless you add it. You choose which operations it may call, so nothing beyond image cutout runs.
Credential isolation
Your RapidAPI key is stored once, encrypted, by your own Jentic One instance and injected into the x-rapidapi-key header at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'remove an image background', and Jentic returns the matching ObjectCut operation with its input schema so the agent calls the right variant without reading the RapidAPI page.
Alternatives and complements available in the Jentic catalogue.
Specific to using ObjectCut 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 (your Jentic One instance) 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.
Can I limit what my agent is allowed to do with the ObjectCut API?
Yes. Because you run Jentic One yourself, your own rules decide which ObjectCut operations the agent may call and which credential it uses. ObjectCut exposes only two operations, the URL-based removal at POST /api/v1/remove-background and the upload variant at POST /api/v1/remove-background/upload, so you can grant the agent just one of them and leave the other out. Scoped this way, nothing beyond image background and foreground removal ever runs, and the RapidAPI key stays under your control.
For Agents
Remove backgrounds or foregrounds from images via URL or upload using AI segmentation, returning the processed image.
Use for: I want to remove the background from this product photo URL, Upload a photo and remove its background for use on a website, Get a transparent PNG cutout of a model from a JPEG, Strip the background from a batch of e-commerce product images
Not supported: Does not run object detection, image generation, upscaling, or face recognition - use for AI background and foreground removal only.
ObjectCut is an image background and foreground removal API distributed through the RapidAPI marketplace. The service accepts either a URL or an uploaded image and returns a processed image with the chosen layer removed, using AI segmentation to handle hair, fur, and complex edges. It suits e-commerce product image pipelines, creative tools, and document processing where consistent cutouts are needed at scale.