Autoenhance.ai can merge your exposure brackets into a single HDR image.
When you drag in your files to upload, choose HDR as the image type. That lets the system know it should look for brackets and merge them before enhancement.
How HDR grouping works
1. Looking at metadata
The HDR grouper looks for brackets shot within a certain timeframe or brackets with consistent EV steps. So it's important to make sure the uploaded files contain this metadata.
2. Visual analysis
Autoenhance.ai performs smart visual analysis that checks brightness, edges, and composition to spot exposures that belong together. This is useful when metadata is missing.
After uploading an HDR order with multiple brackets, the HDR grouper starts grouping the brackets. It can take a couple of minutes until the images are grouped, after which the enhancement process will start.
Occasionally, the HDR grouper will miss a bracket, which then gets enhanced as a single image. This happens mostly when one of the HDR brackets contains no metadata and not enough visual information (e.g. nearly white brackets that are very overexposed). If a bracket is missed, check if the metadata is intact or drop the unusable bracket and try again.
Recommended capture settings
The goal of shooting HDR is to capture brackets that cover the full dynamic range of a shot. This allows Autoenhance.ai to balance shadows and highlights and create good looking window pulls.
Most users shoot 3 brackets with −2 / 0 / +2 EV, which gives nice results. Autoenhance.ai is able to group and merge up to 9 brackets per image, but this will result in slower processing times.
It doesn't matter if you shoot HDR in JPG or RAW, both work well and give similar results. JPG will be faster to process and saves you on storage space.
Cost and credits
Autoenhance charges per final image download, not per exposure. So whether you upload a single bracket image or an HDR image with multiple brackets, the merged HDR counts as one image when you download it.