High-Speed Bulk Processor

Bulk AI Background Remover API

Remove backgrounds instantly using our secure API. Edge-processed in-memory.

Batch Settings

Choose What to Do

📸 Convert HEIC ⬜ Pad to Square 🗜️ Compress Size 🎨 Swap Colors 🛡️ Remove GPS & Camera Data (Privacy Mode)

Step 1: Swap Colors

Recolor Method

Target Color

Source Color

Step 2: Pad to Square

Padding Background Color (Hex)

Step 3: Compress Size

Quality Level (0.1 - 1.0)

Step 4: Strip GPS & Metadata

Natively strips EXIF headers, GPS location coordinates, and camera tracking metadata in-memory. Smartphone orientation is baked into pixels.

Processing Speed (Cores)

Drag & drop files or entire folders

Accepts PNG, JPG, WEBP, and HEIC up to 2,000 files

Browse Files

Selected Files

Need to finish this batch?

You just ran out of credits or hit local batch limits. Grab 15,000 non-expiring credits for $9.99 right now to complete your task instantly.

Secure Edge-Based Subject Extraction

Extract subject layers instantly using Workers AI in-memory GPU models.

GPU-Accelerated AI Models

Execute professional background removal using Workers AI bria-rmbg models. Clean borders with high fidelity.

Enterprise Privacy Guards

We do not store your images. The raw binary payload is processed in edge memory and immediately deleted.

90% Cost-Effective Scale

Migrate standard remove.bg SDK calls to our proxy. Return Base64 JSON or binary outputs at a fraction of standard cost.

Edge-Based AI Background Removal

When standard browser processing is skipped, ImgPipeline securely sends binary payloads to our Hono edge backend. Background extraction is executed in-memory on Cloudflare Workers AI servers using high-performance hardware, and payloads are immediately discarded after processing.

Frequently Asked Questions

Answers to technical and implementation inquiries regarding the image engine.

How does the Edge AI background removal work?

It securely sends the image payload to our serverless Hono edge API, processes it in-memory using Workers AI background removal models, and returns the result before discarding the file.

What is the cost of running AI background extraction?

Each background removal consumes 5 API credits from your balance due to the GPU resources required for neural network calculations.