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?
Show HN: Photowand – Turn selfies into professional photos with AI
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