Skip to content
GuidesReal EstateMarketingFamilyLive EventseSports

Phone-photo preparation

The source photo sets the ceiling.

AI cannot rescue a misleading angle, crushed detail, motion blur, or a photo that hides the room. Capture a clean, honest source before asking a model to furnish it.

By Ryan WannerPractical guideReviewed August 20, 2026

The honest source-photo checklist.

  1. 01

    Prepare

    Physically remove movable clutter, open blinds consistently, turn on working lights, and clean the lens.

  2. 02

    Level

    Keep vertical lines vertical. Use the grid and avoid tilting up or down unless the room requires it.

  3. 03

    Frame

    Show enough floor and two walls to explain the room. Do not hide condition or crop permanent features.

  4. 04

    Expose

    Tap for balanced room detail, avoid blown windows, and bracket another frame when lighting is difficult.

  5. 05

    Avoid distortion

    Step back before using extreme wide angle. Do not stretch the room beyond a truthful view.

  6. 06

    Retain originals

    Keep every original file, capture time, dimensions, and the selected source beside the staged edit.

Let the model inspect before it edits.

Source-photo inspector

Inspect this room photo as a source image for virtual staging. Do not edit it.

Return:
1. room type and likely camera position
2. permanent features that must be locked
3. visible condition facts that must remain visible
4. perspective, horizon, vertical-line, exposure, glare, reflection, and sharpness problems
5. movable clutter that should be physically removed before another photo
6. whether the image is usable, usable with ordinary photo correction, or should be reshot
7. a phone-camera reshoot checklist from the same truthful viewpoint

Do not recommend changing room dimensions, removing permanent features, hiding condition, or generating a replacement room.
Living room staging example: Before — original empty room

Before — original empty room

Living room staging example: After — virtually staged draft

After — virtually staged draft

What this example teaches: The source shows the full window, floor plane, wall geometry, and camera position clearly enough to audit the furnished edit. Controlled fictional example created for this guide. It is not a real listing, endorsement, or comparison of named models.

Situation

Small living room shot on a phone

The first frame is tilted, uses extreme wide angle, and blows out the window. A second level frame keeps the room readable.

Useful output

Use the second frame; preserve the window, flooring, walls, baseboards, and room proportions; add only scale-appropriate movable pieces.

Completion receipt

Untouched originals, selected source filename, capture dimensions, source inspection, staging prompt, edit, and QA checklist.

Keep building the system.

Prompt library

Turn the clean source into a room-locked brief.

Open standalone guide →

Quality control

Compare every output to the original.

Open standalone guide →

FSBO staging

Run the full owner-operated photo workflow.

Open standalone guide →

Research sources

Check the current rules, capabilities, and source basis.

  1. 01NAR: 2026 Code of Ethics ↗

    Current professional standards requiring a true picture in advertising and prohibiting misleading images and manipulations.

  2. 02NIST: Generative AI Profile ↗

    Model-neutral guidance for generative-AI risk, testing, documentation, transparency, and content provenance.

  3. 03OpenAI: Images in ChatGPT ↗

    Current first-party instructions for creating, uploading, editing, selecting, revising, and saving images in ChatGPT.

  4. 04Google: Generate and edit images with Gemini Apps ↗

    Current first-party image generation, upload, editing, availability, and responsible-use notes for Gemini Apps.

Product access, limits, local listing rules, platform policies, and laws can change. Re-check the linked authority before important or public work.

Keep building

Check us out on Skool for 30+ classes and growing.

AI Acceleration: Real Estate is a private, self-directed curriculum for practical AI work across content, communication, lead follow-up, CRM, client research, operations, and relationship management. Build it. Review it. Keep what works.

Explore the Skool community ↗

Follow Ryan + AI Acceleration

No ranking, revenue, closing, or time-saving promise. The classes teach the work and the review systems around it.