How to Migrate from remove.bg® API in 60 Seconds
With the upcoming retirement of the standalone api.remove.bg endpoint on December 1, 2026, self-serve users are being directed to Leonardo.Ai. Here is how to retain seamless synchronous PNG output without rewriting your backend.
The Migration Problem: Why Leonardo.Ai Requires a Complete Rewrite
When Canva (owner of remove.bg) announced the consolidation of API services, developers were instructed to migrate to Leonardo.Ai. However, Leonardo's API is fundamentally engineered for generative AI generation, not synchronous pipeline utility:
- • Asynchronous only: Returns a
job_id. Requires polling loops. - • S3 presigned URLs: Must fetch raw image, convert to Base64 JSON, and fetch from temporary AWS buckets.
- • Token credit math: 1 image = variable token burn rates based on resolution.
- • Refactor cost: Complete overhaul of existing SDKs, queues, and webhook listeners.
- • 100% Wire-compatible: Same
POST /v1.0/removebgpath and parameters. - • Direct Binary PNG: Instant raw HTTP stream response. Zero S3 storage hops.
- • Zero code rewrite: Just change 1 line of configuration (
baseURL). - • Zero Retention: Images processed in RAM and discarded immediately.
The 3-Step 60-Second Migration Process
Get Your API Key
Obtain your drop-in API credentials from the dashboard or use our sandbox testing key during local staging development.
Replace the Endpoint URL in Your Config
Locate your application's remove.bg client configuration. Change the base URL:
Run Your Test Suite
Execute your existing test cases. Because response headers (X-Width, X-Height, X-Credits-Charged) and image streams are identical, your assertions will pass without modifications.
Frequently Asked Migration Questions
What happens to my unused remove.bg credits?
According to official announcements, unused credits do not automatically transfer to Leonardo.Ai tokens. We recommend exhausting your remaining balance before December 1, 2026, while running our endpoint in canary mode.
Are there any parameter differences?
No. Standard parameters including image_file, image_url, size, and format are supported natively.
Ready to migrate your pipeline?
Test our endpoint with your production images in real time using our interactive benchmark studio.