Photography guides
How to Compare AI and Manual Editing on 10 Property Photos
Comparing a beautiful AI image with a poor original does not measure workflow value. Use the same originals for both methods and count review, rejected versions and export time. This is a repeatable test protocol, not the results of a benchmark we have already conducted.
1. Choose the sample before seeing the outputs
Select ten originals you have the rights to use. Include bedroom, bathroom, living room, kitchen and exterior where available. Include difficult cases such as a yellow cast, backlighting and a photo likely to need reshooting. Do not replace failures with easier images during the test.
Assign each file an ID and record its initial problem. Ten images make this proposed comparison manageable; the sample is not statistically representative of all properties.
2. Give both methods the same objective
The brief is to improve visibility without changing the room, openings, furnishings or view. Use the same final crop where possible and record tools and settings. Adding furniture is a different task from correcting brightness.
Set attempt and time limits in advance. If you do the manual editing yourself, the results reflect your skill with that editor. They do not automatically measure a professional photographer's performance.
3. Keep accuracy separate from appearance
Compare versions at the same size. Label them A and B if a second reviewer can assess them without knowing the method. Score visibility, color and sharpness from 1 to 5. A structural change fails the accuracy check even if the image looks attractive.
Record concrete reasons such as an altered window, distorted fixtures, excessive color or noise. Retain both assessments when reviewers disagree. An aesthetic preference is not a forecast of booking growth.
4. Calculate cost per approved photo
For each method, record preparation, active editing, waiting, review and export, keeping active work separate from waiting. Include rejected attempts; omitting them unfairly favors a workflow.
Total cost = spending allocated to the test + active work hours × your chosen hourly rate. Cost per approved image = total cost ÷ approved images. If no image passes, that value is undefined. A subscription also used for other jobs needs an explicit allocation method.
5. Choose a workflow by image type
Report all approvals, failures, time and cost instead of showcasing only the best examples. AI may help already sharp images while blur or strong backlighting may require a new photo. That is more useful than claiming one method always wins.
Retain originals, outputs and publishing permissions if you want to turn the test into a case study. State tools, date, reviewers and limitations. The download is a blank template: fill it with observed measures rather than guesses presented as evidence.
Action checklist
- Ten originals selected before the test.
- Equal objectives and attempt limits.
- Accuracy assessed separately from aesthetics.
- Failures and review time included.
- Cost allocation and sample limitations disclosed.
One row per image and method. Minutes, spending in euros and scores from 1–5; blank cells for your own measurements.
Compare the result on your own photo
Import a listing or upload a photo to AI Property Photo. Compare the result with the original and publish it on your listing platform only after reviewing it.
Try your own photoContinue reading
Sources and method
Sources checked on October 1, 2026. Checklists and evaluation methods are AI Property Photo editorial suggestions, not official rules or promises of results.