Poof Bg Poof API
✓ Official Vendor SpecMediaImage Processingbearer1 EndpointsREST
For Agents
Remove backgrounds from images automatically using machine learning, returning transparent PNG files suitable for design and e-commerce.
Use for: Remove the background from a product photo, Create a transparent PNG from a portrait image, Extract the subject from an image for design work, Process a batch of product images removing backgrounds
Not supported: Provides automated background removal only. Does not perform general image editing, color correction, or object manipulation—use dedicated image processing APIs. Does not host or deliver images—use CDN services.
Poof is a background removal API that uses machine learning to automatically extract subjects from images, leaving transparent backgrounds. The API accepts images in common formats (JPEG, PNG, WebP) and returns processed images with backgrounds removed, suitable for e-commerce product photography, marketing collateral, and profile pictures. Developers integrate it into content workflows, image editing tools, and automated design systems. The single endpoint simplicity makes it straightforward to implement compared to complex image processing libraries. Poof handles edge cases like hair detail preservation, partial transparency, and complex backgrounds without requiring manual selection or masking. It processes images in seconds with consistent quality, enabling high-throughput workflows for marketplaces, design platforms, and user-generated content moderation.
Install Jentic One Beta
Connect the Poof API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Poof 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.
1
Step 1: 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 | sh2
Step 2: 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 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.
Capabilities
What an agent can do with Poof API.
Remove backgrounds from images automatically with machine learning
Process JPEG, PNG, and WebP image formats
Preserve fine details like hair edges and transparency effects
Handle complex backgrounds including gradients and patterns
Return processed images as transparent PNG files
Process images in seconds with consistent quality
Use Cases
Patterns agents use Poof API for, with concrete tasks.
★ E-commerce Product Photography Processing
Online retailers automate product image preparation by removing backgrounds from supplier photos, user-generated content, and in-house photography. The API processes images uploaded by sellers, standardizing product presentation with clean white or transparent backgrounds. Marketplaces integrate Poof into their listing creation flows, automatically processing images before publication. This reduces manual editing time from minutes per image to seconds, enabling scalable product catalog management. Merchandising teams can re-shoot products on any background knowing post-processing will extract subjects cleanly.
When seller uploads product image, send to Poof API for background removal, receive transparent PNG, overlay on standardized marketplace background color, save processed image to CDN, update product listing with clean image URL.
Marketing Collateral and Design Automation
Marketing teams use Poof to prepare images for ads, social posts, and website graphics where subjects need to overlay branded backgrounds. Design systems integrate the API to automatically process headshots, product shots, and lifestyle imagery, enabling dynamic creative generation. Automated design tools call Poof to extract subjects, then composite them onto template backgrounds with text and branding. This enables personalized marketing at scale where hundreds of ad variants are generated programmatically with different subject combinations and backgrounds.
Load subject images for ad campaign, send each to Poof for background removal, composite extracted subjects onto branded template backgrounds, add text overlay, generate 50 ad variants, export for social media platforms.
User Profile Picture Enhancement
Social platforms and professional networking sites use Poof to enhance user-uploaded profile pictures by removing distracting backgrounds. The API processes profile photos, removing cluttered rooms, outdoor scenes, or event backgrounds, leaving the subject on transparent or neutral backgrounds. This creates visual consistency across user directories and improves perceived professionalism. Apps offer this as a premium feature where users upload casual photos and receive professionally presented profile pictures with clean backgrounds automatically.
When user uploads profile picture, detect faces and crop to portrait orientation, send to Poof for background removal, overlay on subtle gradient or solid color, offer both transparent and colored versions, let user select preferred output.
Batch Image Processing for Catalogs and Archives
Organizations with large image archives use Poof to bulk-process historical product photos, team headshots, or inventory images, standardizing backgrounds across collections. The API integrates into batch processing pipelines that iterate through S3 buckets or media libraries, process each image, and save results. This modernizes legacy catalogs where products were photographed on inconsistent backgrounds. Museums and archives use it to extract artifacts from old photography backgrounds, creating clean imagery for digital collections and search results.
Iterate through product image S3 bucket, fetch each image, send to Poof API, validate processed output, save transparent PNG to processed bucket, update database with new image URL, generate progress report for completed batch.
Key Endpoints
1 endpoints — poof is a background removal api that uses machine learning to automatically extract subjects from images, leaving transparent backgrounds.
METHOD
PATH
DESCRIPTION
POST
/remove
Remove background from an image and return transparent PNG
POST
/remove
Remove background from an image and return transparent PNG
Why Jentic?
Three things that make agents converge on Jentic-routed access.
Credential isolation
Poof API tokens are encrypted in Jentic's vault. Agents execute background removal operations without accessing tokens, and all API calls are logged for usage tracking.
Intent-based discovery
Agents search by intent like 'remove background from image' and Jentic returns Poof's operation schema with image input parameters, avoiding documentation of ML model details.
Time to first call
Direct Poof integration: 1 day to implement image upload, API call, and result handling. Through Jentic: 15 minutes—search for operation, submit image with natural language instruction, receive processed result.
Related APIs
Alternatives and complements available in the Jentic catalogue.
Complementary
imgix API
imgix provides real-time image transformation and optimization via URL parameters.
Use Poof for background removal, then imgix for on-the-fly resizing, format conversion, and delivery optimized for user devices.
FAQs
Specific to using Poof API through Jentic.
What authentication does the Poof API use?
The Poof API uses Bearer token authentication. You obtain an API token from your Poof account and include it in the Authorization header for all requests.
What image formats does Poof support?
Poof accepts JPEG, PNG, and WebP image formats as input. The API returns processed images as transparent PNG files suitable for design and e-commerce use.
How does Poof handle complex backgrounds and fine details?
Poof uses machine learning models trained to preserve fine details like hair edges and partial transparency while removing backgrounds. It handles complex scenes including gradients, patterns, and multi-subject images with consistent quality.
Can I process images in batch with the Poof API?
Yes, you can call the single /remove endpoint in a loop or parallel processing pipeline to batch-process multiple images. Many users integrate Poof into workflow systems that process image collections from S3, CDNs, or databases.
How do AI agents use the Poof API through Jentic?
Agents search Jentic for tasks like 'remove background from product photo' and receive the Poof operation schema. Jentic vaults API tokens, handles authentication, and allows agents to process images by URL or file upload with natural language instructions.
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