Photos, data & automation,
built for your store.
One team, four tools: AI on-model product photography, document OCR & extraction, ERPNext automation, and laser/CNC-ready vector conversion. Send one image today; we send back a sample you can judge with your own eyes.
AI Virtual Try-On & Product Photos
Flat-lay or mannequin shots → on-model photos. Your real product, generated model, ~30 sec/image. No photoshoot, no retoucher.
See AI PhotosOCR & Document Data Extraction
Invoices, line sheets, POs, scans → clean structured CSV/JSON/API. Python pipeline, your schema, free sample batch.
See OCRERPNext / Frappe Automation
Setup, data migration, module customization, hosting & maintenance — an ERP your ops team actually uses.
See ERPNextLaser / CNC-ready vector files
Any design (PDF, scan, even a phone photo) → laser/CNC-ready DXF in minutes. Clean outlines, mm-scaled, test-cut friendly.
See DXFSame three steps for all four tools
A store link, or 2–3 product photos / a document / a design file.
One free result, your real item, within a business day.
If it beats what you have, we run the batch. Pay only if you ship it.
On-model photos from your flat-lay shots.
No photoshoot, no retoucher. Send us your product photo (or just your store link) and we generate on-model images with your exact garment — right fit, right print, right fabric. If the sample beats your current photos, you can run a whole batch free and pay only if you ship it.
Why brands switch
- Pixel-accurate productThe model wears your actual SKU, not a generic mockup.
- Any model, pose, backgroundStudio, street, campaign — one shoot, dozens of assets.
- Batch pricingPay per usable image; free sample up front, no commitment.
How it works
Documents in. Structured data out.
We build Python OCR pipelines that pull the fields you actually use out of messy documents — not raw text dumps. Invoices, shipping docs, line sheets, scans. You tell us the fields; we deliver clean CSV/JSON or a live API endpoint you can call.
What we extract
- Any document typeVendor invoices, POs, packing lists, product line sheets, handwritten POs.
- Your schemaWe map fields to your column names; totals, SKUs, units, dates, whatever you run on.
- Delivered how you use itCSV/JSON export, or an API endpoint that plugs into your stack.
How it works
ERPNext that fits how you actually work.
Most ERP projects fail at fit, not software. We set up ERPNext/Frappe around your real flows — not the other way round — migrate your data cleanly, automate the boring parts, and keep it running.
What’s included
- Setup + data migrationItems, customers, stock, open invoices — mapped to your reality.
- Module fitSales, purchases, warehouse, manufacturing, assets — enabled and configured, not just installed.
- Frappe automationsApprovals, alerts, integrations, custom doctypes that save your ops team hours a week.
- Hosting & maintenanceUpdates, backups, monitoring; you run the store, we run the ERP.
How it works
Any design → laser/CNC-ready DXF in minutes.
Have a PDF, a scan, or just a phone photo of a design? We vectorize it into clean, closed outlines in millimeters — no spiral lines, no open paths — so it cuts on the first test pass. Send the file, get the DXF back.
What you get
- Input-agnosticPDFs, scans, photos, screenshots — all accepted, all vectorized.
- Clean closed outlinesLayers split for cut vs. engrave, no junk paths your machine will fight.
- mm-scaled & test-cut friendlySane scale from the start; you dial final size in your CAM.
How it works
Send one thing today.
One form covers all four tools. Fill in what you need and the request opens in your email app — attach the photos, documents or design file there.
- AI photos: store link, or 2–3 product photos
- OCR: 3–5 real (messy) documents + the fields you need
- ERPNext: current stack and the flow you want off manual
- DXF: the file + machine / material / target size
Request composed — send it
Static front-end: it builds the request and hands it to your email client. Swap in a form endpoint or backend route when you want submissions stored automatically.