Every photo, perfected. Automatically.

How it works: Every photo is classified by scene (beach, pool, sunset, night, indoor, portrait) from its pixels, then graded with a scene-specific recipe: white-anchored exposure that never clips highlights, subject-first relighting that finds faces and lifts them before the background, and shadow protection that stops dark areas turning noisy. The detected scene is returned on every job — you SEE which recipe your photo earned, in the studio and in the API response.

Why it matters: This is the exact engine running live at resort photo operations every day — tuned on hundreds of thousands of real vacation photos, not lab test sets. Photos shot seconds apart get the SAME grade (burst consistency), something per-photo tools cannot promise.

Who it's for: Resorts, waterparks and cruise photo ops; print labs; event and school photographers — anyone delivering hundreds of photos a day.

What you save: Replaces per-photo manual grading (~1–3 min each). A 500-photo day becomes minutes of compute for $25 — and corrected photos sell measurably more.

How it works: Our face detector locates every face and its eye and mouth landmarks. Skin is smoothed under a soft radial mask while eyes and lips stay pin-sharp; eyes get a gentle brighten; teeth are whitened only where the pixels are actually bright (never the lips). Strength is deliberately conservative — natural, not plastic.

Why it matters: Retouching is the classic photographer upcharge: automate it and every portrait order can carry a retouch tier at zero labour cost.

Who it's for: Portrait, school, graduation and wedding photographers; studios selling retouch tiers.

What you save: 5–10 min of manual retouching per portrait becomes 8 cents — and retouch turns from a cost into an upsell you charge for.

How it works: One click. We measure what is actually wrong with the photo — backlight silhouette, darkness, noise, softness, ruined faces — and run only the repairs it needs: subject-first low-light recovery, texture-preserving denoise, and face restoration with a Fidelity dial (high = the real face, faithfully recovered, never an invented one). The triage verdict is returned with every job, so you see exactly which repairs ran.

Why it matters: Consumer rescue apps charge $22/month per PC with watermarked trials, and their face 'restoration' invents new faces on tiny inputs. Ours is $0.12 per photo in the browser or API, identity-safe by design — built because our own speed-camera systems produce exactly these ruined frames, and we refused to throw them away.

How it works: Super-resolution models (Real-ESRGAN) rebuild genuine detail at 2x or 4x while removing noise and JPEG artifacts. The face-restore pass (CodeFormer) reconstructs small or low-resolution faces — group shots, old phone photos, screenshots — so they print cleanly at poster sizes.

Why it matters: Low-resolution originals are the #1 reason print orders get rejected or returned. Upscale first, print with confidence.

Who it's for: Print labs and gift shops; anyone printing customer phone photos, screenshots or old files on canvas and albums.

What you save: Rescues low-resolution orders that would be rejected or returned — a saved $80 canvas order pays for 1,300 upscales.

How it works: Face detection finds the head and the eyeline; every photo is cropped so heads are the same size and eyes sit on the same line across the whole job — the yearbook and ID-photo standard, solved in one pass.

Why it matters: School and sports photographers pay competitors $0.20 per image for exactly this. Ours is $0.08.

Who it's for: School, sports and ID photographers; yearbook production.

What you save: Hours of manual cropping per job — and competitors charge $0.20/image for exactly this. Ours is $0.08.

How it works: An AI matting model extracts the subject cleanly — including fine hair detail — and returns a transparent PNG ready for compositing, e-commerce listings or ID processing.

Why it matters: Bulk extraction without a clipping-path service: thousands of images, seconds each, no outsourcing queue.

Who it's for: E-commerce sellers, product photographers, ID/passport services, compositing workflows.

What you save: Clipping-path outsourcing ($0.50–2 per image, 24h turnaround) becomes 6 cents in seconds.

How it works: We detect the specular flash signature on eyeglass lenses — very bright, colorless pixel clusters near the eyes — and reconstruct those pixels with AI inpainting. If a photo has no glare, we refund the full charge automatically: you never pay for a no-op.

Why it matters: Glare rescue is 10–15 minutes of manual cloning per image. Competitors charge $1.00 per photo; we charge $0.40, and $0.00 when there is nothing to fix.

Who it's for: School and corporate portrait photographers — anyone shooting people in glasses under flash.

What you save: 10–15 minutes of clone-stamping per affected photo. And when there's no glare, you pay nothing.

How it works: We sample frames across your clip, measure the median exposure, warmth and saturation, and apply ONE temporally-stable grade to the whole video — never per-frame corrections, so there is zero flicker on cuts. Audio passes through untouched.

Why it matters: Per-frame video tools flicker; ours is stable by construction. Flat pricing per clip instead of per-second metering.

Who it's for: Videographers, venues and creators delivering event clips.

What you save: Color-correcting a clip in an editor takes 15+ minutes; this is one call, flicker-free by design.

How it works: One API call returns a JSON report: sharpness, exposure and composition scored 0–100 with the same measures that decide which photos are sellable at live venues, plus the detected scene (sunset, beach, pool, night, indoor, portrait…), a print-readiness table (what sizes this resolution supports) and a burst fingerprint for duplicate detection across a shoot.

Why it matters: Score a whole shoot before you edit or deliver: cull the blurry frames, upscale the low-res ones, and never send a client an unprintable file. Enterprise correction tools don't offer scoring or culling at all.

Who it's for: High-volume shooters and labs that must not deliver a bad file; API users building culling into their own pipeline.

What you save: Catches blurry and unprintable files BEFORE a client sees them — one avoided reprint or complaint covers thousands of scores.

How it works: The subject is extracted with AI matting — hair detail included — and composited back over a smoothly blurred copy of the original background. The subject itself is never touched.

Why it matters: Phone-portrait-mode bokeh for any camera, applied in batch: event headshots, dating profiles, team pages, product-with-person shots.

Who it's for: Event headshots, team pages, dating and social profiles, marketplace sellers.

What you save: Portrait-mode bokeh without reshooting or an editor — batchable across a whole event.

How it works: Upload 3–20 photos, pick a template (Energy, Memories, Cinematic, Clean, Mono) and a format — 9:16 for TikTok/Reels/Shorts, 1:1 for feeds, 16:9 for YouTube — and get a rendered MP4 with motion, transitions and a consistent grade. Built on the same render engine that ships resort reels every day.

Why it matters: A ready-to-post reel from a shoot is the deliverable clients actually share. Correction tools stop at stills; we ship the video too.

Who it's for: Photographers and venues who deliver social content; marketers turning shoots into posts.

What you save: An editor charges $50–150 per social cut. This is $1.90 per format, minutes after the shoot — and clients share it, which markets YOU.

How it works: The subject is extracted with AI matting and composited over your chosen scene — beach sunset, city skyline, cherry blossom, mountain lake, ancient ruins, tropical paradise — or any solid color for ID and e-commerce work.

Why it matters: Studio-look composites without a studio: one op, batchable.

Who it's for: Studios without location budgets; ID services; e-commerce with brand-scene needs.

What you save: A location shoot or studio set becomes a 10-cent composite.

How it works: Inside each detected face we find small outlier spots — redder or darker than the surrounding skin, the acne signature — and heal ONLY those pixels toward the neighbouring skin tone. Eyes and lips are protected; skin texture everywhere else is untouched. This is targeted spot healing, not smoothing.

Why it matters: Teen portraits, school photos and headshots cleaned automatically — the most-requested manual edit, gone.

Who it's for: School and teen portrait photographers; headshot studios.

What you save: The single most-requested manual edit, automated — texture kept, retakes avoided.

How it works: Generative outpainting grows the canvas beyond the original frame — the scene continues naturally while your subjects stay exactly as shot. Turn a portrait crop into a widescreen banner or a taller story frame.

Why it matters: Rescue tight crops and repurpose one photo across every format a client needs.

Who it's for: Designers repurposing photos across formats; anyone rescuing tight crops.

What you save: Reshoots and awkward letterboxing — one photo becomes banner, story and print formats.

How it works: Your customer's own photo becomes a new portrait — studio lighting, golden-hour beach, city nights, fantasy worlds, vintage film — while their face, expression and identity stay exactly the same. Works only on the customer's own uploaded photo, by design.

Why it matters: The viral share-magnet: one shoot becomes five worlds. A premium upsell with zero extra shooting.

Who it's for: Studios and venues selling premium creative products; social-first customers.

What you save: Five themed 'shoots' from one photo — a premium upsell with zero extra shooting time.

How it works: Rerender a photo as artwork — watercolor, classical oil, illustration, pop-art poster or pencil sketch — keeping the original composition and subjects.

Why it matters: Gift-product fuel: canvases, posters and cards from photos people already love.

Who it's for: Gift-product sellers: canvases, posters, cards; venues adding artistic upsells.

What you save: Commissioning artwork from a photo costs $30–200; this is 15 cents in seconds.

How it works: Type what you want changed — "make the sky golden hour", "remove the trash can", "add soft snow" — and the AI applies it to your photo. Every person's face and identity is pinned by the system and cannot be altered by the prompt; unsafe requests are refused before any credits are spent.

Why it matters: The edit you can imagine but can't click: one sentence instead of an editing session.

Who it's for: Everyone who knows what they want but not which tool does it — and API users building edit features into their own apps.

What you save: An editing session (or an outsourced edit request) becomes one sentence for 20 cents.

How it works: Seven curated stylistic grades — warm, cool, vibrant, black & white, sepia, cinematic and portrait polish — applied consistently across an entire batch.

Why it matters: One look across 500 photos, delivered in minutes, at $0.02 each.

Who it's for: Anyone delivering a consistent brand or album look across a large batch.

What you save: Per-photo preset fiddling — one look, 500 photos, minutes.