We paid $5,000 and got back a few dozen photos. The colors were off in several shots – too warm, inconsistent lighting, some faces looked washed out. I wanted to fix them myself, but photo editing is incredibly complicated. Photoshop has hundreds of buttons, layers, masks, adjustment curves. I spent hours watching YouTube tutorials just to adjust colors on one photo. There had to be a better way.
So I built Photowand.
What it does: Upload any photo, describe what you want in plain English, and get professional-quality results in ~20 seconds. "Fix the colors and lighting" or "change background to beach sunset" or "make this look like a professional headshot." No Photoshop skills needed.
Try it without signup: photowand.ai
How it compares to existing AI tools:
vs ChatGPT: - Better photorealistic quality (specialized model, not general-purpose) - 4x faster processing (20 seconds vs 80+ seconds) - Bulk generation (create 50 variations simultaneously) - Iterative editing (make changes to existing photos, not just one-shot generation)
vs Gemini: - No watermarks on any images - Faster generation (20 seconds vs 40+ seconds) - Simpler interface (just describe what you want) - Commercial licensing included
Technical approach: Custom diffusion models optimized for photorealistic photography. I trained specifically on professional photo datasets (headshots, products, real estate, food) rather than general internet images.
Key features: - Natural language editing ("fix the lighting" instead of adjusting curves) - Consistency across batches (same person in multiple poses) - 400+ photo pack templates (LinkedIn headshots, product photos, etc.) - Unlimited revisions (describe changes, apply instantly)
What happened after I launched: - Now processing 500k+ photos daily - People using it globally in more than 180 countries - Turns out lots of people have the same problem (photographers cost $500-$5,000)
Where it still fails: - Wedding photography (emotional timing requires human intuition) - Complex hand interactions (I flag ~5% for manual review) - Extreme artistic vision (brand-specific creative direction) - Events requiring physical presence
The irony: I made this to fix my wedding photos. Now people mostly use it for business photography (LinkedIn headshots, product catalogs, real estate listings).
Tech stack: Custom diffusion models, Next.js, R2 storage, Cloudflare
Try the demo: photowand.ai (no signup required)
I'm here all day to answer questions about the architecture, training approach, or where AI photography still needs humans.
What would make this more useful for you?