Raw ultrasound scans to photorealistic portraits. One click. Zero retouching.
Turning clinical 3D/4D ultrasound renders into keepsake-quality baby portraits — with exact anatomical fidelity and no manual editing.
We built a working system using the SundayPyjamas AI Suite Image API that converts medical-grade ultrasound scans into emotionally meaningful portraits — with a single API integration, batch processing, and dual-model routing for quality vs. throughput.
SundayPyjamas · Proof of Concept
1-click
Raw scan to photorealistic portrait
0
Manual retouching steps
<2 min
Full session gallery processed
100%
Anatomical fidelity preserved
The problem
3D/4D ultrasound renders are medical-grade outputs — accurate, but visually clinical. The monochromatic surface rendering that radiologists rely on for diagnosis rarely translates into the emotionally resonant keepsake that expectant families hope to bring home. Families leave sessions with images that require explanation rather than evoking joy.
Manual retouching is not an option at scale, and off-the-shelf image editing tools have no understanding of fetal anatomy — they reshape or distort the very features parents most want to preserve. Prenatal imaging clinics need a way to generate photorealistic portraits directly from scan data, at session speed, without changing what is actually in the image.
What we built
We built a working staff gallery application powered by the SundayPyjamas AI Suite Image API. Using a single API call with a precision-engineered enhancement prompt, a staff member selects session images and clicks one button. The AI converts the ultrasound surface rendering into a photorealistic baby portrait — natural skin texture with subsurface scattering, soft lighting that follows the original contours, and fine anatomical detail — while preserving the exact pose, placement, and structure recorded in the scan.
No features are reshaped. No anatomy is invented. The result is a medically grounded, emotionally meaningful image ready to hand to a family — with no additional editing software or design skills required.
What we built
- Staff gallery application powered by the SundayPyjamas AI Suite Image API — single API key auth, no additional backend required
- Precision-engineered enhancement prompt: re-textures ultrasound surface rendering with photorealistic skin, subsurface scattering, and natural lighting while preserving exact anatomical structure and pose
- Sequential batch processing with real-time progress — select a full session and enhance in one click
- Dual-model pipeline: fast model for high-volume throughput, quality model for hero images and prints
- Already-enhanced guard on batch runs — processed images are skipped automatically to protect API credit usage
- Session-scoped galleries per client, with state persistence across independent workflows
- Thumbs up/down feedback system on enhanced images with optional comments, feeding signal back for prompt tuning
How it works
A single-endpoint architecture: image enhancement via the AI Suite Image API, dual-model routing, batch processing with skip-if-enhanced logic, and a staff feedback loop.
Image enhancement
POST /api/v1/image → operation: 'edit'ultrasound scan + enhancement prompt → photorealistic portrait
Model selection
model parameter on POST /api/v1/imageflash model (throughput) | pro model (max quality) → per-image routing
Batch processing
Sequential POST per image in sessionsession gallery → skip-if-enhanced → progress tracker → complete
Quality feedback loop
Per-image thumbs up/down + commentsstaff rating → prompt tuning signal → improved outputs
Built for multi-location scale
The system supports session-scoped galleries with independent client workflows per location. A single API key authenticates against the SundayPyjamas AI Suite, with usage metered via the platform's credits model. No per-location infrastructure, no model hosting, and no image-processing pipeline to maintain.
SUNDAYPYJAMAS_API_KEY Bearer token•Endpoint:POST /api/v1/imageWhat the system demonstrates
The system generates photorealistic, keepsake-quality portraits directly from ultrasound scan data — with zero manual retouching, zero reshaping of features, and no additional editing software. A full client session of images can be processed in under two minutes.
The output shifts the emotional response from confusion to immediate recognition — families see their baby, not a medical scan. The system is production-ready and requires no changes to existing scan or appointment workflows to adopt.
“I have completed some initial image enhancement testing on your platform and am satisfied with the results.”
— Director, Ph.D.
What this architecture enables beyond prenatal imaging
The pattern here — precision-prompted image transformation via a single API call, dual-model routing for throughput vs. quality, batch processing with deduplication, and a human feedback loop — applies directly to other domains where raw technical imagery needs to become human-readable:
Medical imaging
Patient-friendly visualizations of MRI, CT, or dermatology captures. Same anatomical fidelity constraint, same single-endpoint integration.
Real estate & architecture
Raw renders or site photos transformed into presentation-quality visuals. Batch processing over property galleries with dual-model selection.
E-commerce product imagery
Raw product photos enhanced to catalog quality at scale. Same skip-if-processed logic, same feedback loop for continuous improvement.
Building something similar?
We can have a working proof-of-concept on your data in 10 days.