What Let's Enhance Actually Does (From Someone Who Bills Per Photo)
I run a small photo-editing side business - product shots for Shopify stores, listing photos for a couple of real-estate agents, and the occasional old-family-photo restoration job. Most of that work used to mean opening Photoshop, cloning out scratches for an hour, and praying the upscale did not look like plastic. Let's Enhance is the tool that took the worst of that off my plate. It is a web app: you drop in a low-resolution or damaged image, pick a model, and it returns a sharp, cleaned-up file - up to 16x larger, print-ready at 300 DPI, with artifacts and noise scrubbed out.
The honest framing: it does not replace a trained retoucher for fine art or high-fashion work. What it does is turn "this is impossible in the time I have" into "done in ten minutes" for the 90% of jobs that are catalog, listing, or restoration cleanup. That is exactly where the money is.
The features that matter in practice
- Six specialized models. This is the part most people miss. Prime reconstructs realistic photo texture; Old Photo handles restoration and colorization; DigiArt is tuned for anime and illustrations; Ultra, Gentle and Strong cover the rest. Picking the right model beats any amount of slider tweaking, and the wrong one wastes a credit.
- Old Photo Restoration. Colorize, de-scratch, fix fading - on scans from the 1960s and earlier. I sell this as a separate line because nobody else the client knows can do it, and the willingness to pay is high.
- Batch processing. Up to 20 images per run, with presets for e-commerce and real estate. A 200-SKU catalog that was a week of grunt work is now an afternoon.
- Chat Editor. Describe an edit in plain language - "brighten the background, remove the shadow" - and it applies before upscaling. Saves a round trip to Photoshop.
- Claid.ai API. On business plans you can pipe enhancement straight into a store or app. I have set this up for one client so their upload flow auto-cleans images - that is a monthly retainer, not a one-off.
How people actually make money with it
The tool itself is cheap. The income is in the service you ship faster:
1. E-commerce catalog cleanup. The most steady work. A store with 200 messy product photos pays you $300-$1,500 a month to upscale and fix the whole catalog; your Let's Enhance cost is $24-$34. Batch presets make the turnaround fast enough to take more stores.
2. Old-photo restoration. Best margin in the list. People pay $15-$60 per scanned family photo, or $100-$400 for a full album, because the emotional value is real and almost nobody can do it by hand at speed. I market this locally and through a simple before-after gallery.
3. Real-estate listing photos. Agents pay $25-$75 per photo or $200-$600 a month to make low-res MLS shots look like print ads. Upscaling a small interior to large-format quality is a five-minute job that bills like an hour of design.
4. Print-on-demand and AI-art prints. Midjourney and Stable Diffusion spit out great concepts at weird resolutions. Run them through Let's Enhance to 300 DPI and you have a canvas- or poster-ready file. Artists I know charge $20-$80 per enhanced print file, and the upscale is the step that makes the sale.
5. Photography batch prep. Wedding and event shooters send 500 raw exports that need denoise and sharpen before delivery. Batch mode plus the face and grain models turn a painful evening into a short queue. Charge it as part of the editing line.
Where it falls short
- The credit system is the weak point. One image equals one credit, and high-resolution or large batches burn them fast. A 500-credit Max plan feels big until you upscale a 1,000-image archive.
- Free tier is a teaser. Ten one-time credits, watermarked output - you cannot judge final quality before paying, so the "free" trial barely helps a buying decision.
- Browser-only. No desktop app, every job needs the internet and their servers. Big batches can stall and there is no offline fallback.
- Background removal is a side feature capped at 16 megapixels - fine for small product shots, weak for serious cutout work. Photoroom or Clipdrop do that better.
- Face enhancement can look uncanny on close portraits - too-smooth skin - and complex areas occasionally throw artifacts you must catch and redo.
- Cancel and you lose leftover credits. Rollover only helps while subscribed, which stings if you pause between seasons.
Who it is for, and who should skip it
Use it (paid) if you do image work in volume - e-commerce sellers, real-estate agents, photographers prepping prints, freelancers running restoration as a service. Skip it if you mostly do one-off fine-art retouching where manual control beats speed, if you need a desktop app for offline or bulk local work, or if you process thousands of images a month at full resolution (a one-time tool like Topaz wins on cost there). If you are a hobbyist who touches three photos a year, the free 10 credits are enough and you will never need more.
Getting started (in plain terms)
- Sign up at letsenhance.io - you get 10 credits immediately, no card needed.
- Run a real sample through each model (Prime, Old Photo, DigiArt) so you learn which fits which job.
- Start on the Starter or Pro paid plan before quoting client work - the free watermark stops you judging final output.
- Use batch mode and the e-commerce or real-estate presets for any multi-image job; it is the feature that makes the service pay.
- Price your credit cost in, not out: pick the plan for your worst month, and never cancel mid-project or you eat the leftover credits.