Batch Process Full Sessions
Process entire wedding, portrait, or product sets in one pass. Keep your Lightroom or DAM workflow moving while the API handles background extraction in parallel.
Use Case
Background Removal API for Photography
For portrait, fashion, and product photographers, delivery speed matters as much as image quality. FAPIhub removes repetitive masking tasks so editors can focus on creative retouching and client-ready output.
The Challenge Photography Teams Face
Manual masking is one of the most time-consuming parts of photography post-production. Even experienced retouchers need several minutes per image when handling hair, veils, edges, and textured clothing. On a 400-image wedding or a high-volume portrait session, this becomes an editing bottleneck that delays delivery timelines.
Studios that outsource cutouts often pay per image and then still spend in-house time reviewing edge quality and sending revisions. This creates an unpredictable workflow where costs stack up and deadlines shift. Freelancers face the same pressure: either spend late nights masking manually or pay external editors and reduce profit margin.
An API-based workflow solves this by handling first-pass cutouts automatically. Editors can batch process an entire gallery, keep only difficult edge cases for manual correction, and export final files much faster. That means faster client turnaround, better consistency across a full shoot, and more time for creative work that clients actually notice.
How FAPIhub Solves It
Cut Outsourcing Costs
Use API automation for first-pass masking and reserve manual edits only for exceptions. Lower cost per delivered photo while preserving turnaround promises to clients.
Consistent Transparent Output
Receive PNG output with transparency for composites, album layouts, and marketing assets. Keep quality consistent across editors and projects.
Integrate in Minutes
This Python snippet batch-processes portrait files and writes transparent PNG results.
import requests
from pathlib import Path
API_KEY = "YOUR_API_KEY"
input_dir = Path("session_exports")
output_dir = Path("session_cutouts")
output_dir.mkdir(exist_ok=True)
for image_path in input_dir.glob("*.jpg"):
with open(image_path, "rb") as image_file:
response = requests.post(
"https://fapihub.com/v2/rembg/",
headers={"token": API_KEY},
files={"image": image_file},
timeout=30
)
if response.status_code == 200:
(output_dir / f"{image_path.stem}.png").write_bytes(response.content)Frequently Asked Questions
Yes. FAPIhub is optimized for difficult portrait edges such as hair, fur, and semi-transparent fabrics. Most teams run API output as the first pass, then perform selective retouching only when needed.
Yes. Export to a watched folder, run a Python or Node job, and process each file automatically via API. This is a common setup for studios handling recurring session volume.
The API returns binary PNG output with transparent backgrounds. If you need layered PSD workflows, teams typically import PNG output into Photoshop actions for final compositing.
JPEG, PNG, and WebP are supported for input. Output is PNG to preserve alpha transparency for compositing and creative layouts.
Yes. The free plan includes 100 full-resolution requests each month with no credit card required.