Image Editing API

The API accepts JPEG, PNG, WebP, and TIFF inputs. Output format is configurable per request, with PNG as the default for transparency-preserving operations like background removal.

Each editing operation bills per image processed. Background removal and style transfer cost fractions of a cent per image. Upscaling costs slightly more due to GPU compute. No monthly minimums or seat licenses.

Yes. Build a pipeline on the visual canvas connecting any combination of operations, then call the pipeline endpoint. All chained operations execute in sequence and return the final result.

Input images can be up to 50 megapixels. For upscaling operations, the 4x multiplier applies to the input resolution, so a 2000x2000 input produces an 8000x8000 output.

Yes. Submit arrays of image URLs in a single request. The API processes them in parallel and sends webhook notifications as each image completes, so your app does not need to poll.

Simple operations like background removal return in under two seconds. Multi-step pipelines with upscaling typically complete in three to five seconds. Batch jobs process concurrently for higher throughput.

The API uses standard REST endpoints with JSON payloads. It works with any language that can make HTTP requests. SDKs are available for Python and Node.js with built-in retry and webhook handling.

New accounts receive a starter credit that covers roughly 500 standard editing operations. After that, pay-per-use pricing applies with no expiration on unused credits.