Free AI Background Removal API — PixelAPI vs Remove.bg vs Cloudinary
Source: Dev.to
Quality Comparison
Hair and fine details
- Remove.bg – Historically the best; years of model tuning.
- PixelAPI – Uses BiRefNet, the current academic state‑of‑the‑art, handling hair edges very well.
- Cloudinary – Solid, but occasionally struggles with wispy hair.
Complex backgrounds
- All three handle simple backgrounds well.
- For busy patterns or similar foreground/background colors, PixelAPI (BiRefNet) and Remove.bg outperform Cloudinary.
Transparent objects
- Glass, water, semi‑transparent fabrics are challenging for all.
- Remove.bg handles them best, PixelAPI is close, while Cloudinary tends to over‑clip.
Verdict on quality
- All three are production‑ready for most use cases.
- Remove.bg offers the most polished edge refinement.
- PixelAPI provides the newest model technology.
Developer Experience
PixelAPI
import requests, time
API_KEY = "your_key"
# Submit (multipart upload)
with open("photo.jpg", "rb") as f:
resp = requests.post(
"https://api.pixelapi.dev/v1/image/remove-background",
headers={"Authorization": f"Bearer {API_KEY}"},
files={"image": ("photo.jpg", f, "image/jpeg")}
)
job_id = resp.json()["id"]
# Poll (async — result in ~2 s)
while True:
time.sleep(2)
r = requests.get(
f"https://api.pixelapi.dev/v1/image/{job_id}",
headers={"Authorization": f"Bearer {API_KEY}"}
).json()
if r["status"] == "completed":
print(r["output_url"]) # transparent PNG URL
break
Async model: submit a job and poll for the result. Slightly more code than a synchronous API, but avoids timeouts on large images.
Remove.bg
import requests
response = requests.post(
"https://api.remove.bg/v1.0/removebg",
files={"image_file": open("photo.jpg", "rb")},
data={"size": "auto"},
headers={"X-Api-Key": "your_key"}
)
with open("output.png", "wb") as f:
f.write(response.content)
Synchronous: simpler code, but can timeout on large images. The free tier returns low‑res previews (up to 625×400); a paid plan is required for full resolution.
Cloudinary
import cloudinary.uploader
cloudinary.config(
cloud_name="yours",
api_key="key",
api_secret="secret"
)
result = cloudinary.uploader.upload(
"photo.jpg",
background_removal="cloudinary_ai"
)
print(result["secure_url"])
Integrated: works seamlessly if you already use Cloudinary for media management. Overkill if you only need background removal.
Pricing Deep Dive
PixelAPI
- Free: 100 credits (2 credits per removal = 50 images)
- Starter: $9 /mo → 1,500 credits → 750 images ($0.012/image)
- Pro: $29 /mo → 6,000 credits → 3,000 images ($0.0097/image)
- Scale: $99 /mo → 25,000 credits → 12,500 images ($0.0079/image)
Remove.bg
- Free: 50 images/mo (low‑res only)
- Subscription: from $0.23 /image (1‑credit plans)
- Pay‑as‑you‑go: $0.45–1.99 /image depending on resolution
Cloudinary
- Free: 25 credits/mo (≈ 25 transformations)
- Plus: $89 /mo for 225 credits
- Background removal is an add‑on transformation.
Winner on price: PixelAPI by a wide margin, especially at scale. Remove.bg is 20–50× more expensive per image.
When to Use Each
-
PixelAPI
- Cost‑sensitive projects (startups, indie developers, high volume)
- Need other AI tools (upscale, face restore, image generation)
- Want full‑res results on the free tier
- Comfortable with async polling
-
Remove.bg
- Require the absolute best edge quality
- Prefer a synchronous API
- Budget is not a primary concern
- Only need background removal
-
Cloudinary
- Already using Cloudinary for media management
- Need a full CDN + transformation pipeline
- Background removal is just one step in a larger workflow
My Take
I built PixelAPI, so I’m biased, but the facts speak for themselves: Remove.bg is the established player with excellent quality, suitable for large enterprises that can afford $0.23 /image. For indie developers, startups, or anyone processing many images, the pricing advantage of PixelAPI—combined with comparable results from a state‑of‑the‑art model—makes it the more sensible choice.
Try Them All
- PixelAPI: (free web tool, no signup)
- Remove.bg: (free web tool)
- Cloudinary: Requires account setup
Test with your own images and see which service fits your workflow best.