AI digitizing · licensed to professional digitizers

Every logo drafted in your house style — before your digitizer sits down.

StitchDraft learns your shop’s style from your own back-catalogue, drafts every incoming job as a production-ready .DST, and gets sharper with every correction your experts make. Your files. Your style. Your model.

0 stitches · thread 1 of 2 · digitizing…

Live replay of real engine output — every stitch drawn in production order.

The bottleneck

Digitizing caps every embroidery business.

Every logo must be hand-converted to machine stitches by a skilled digitizer before a single garment runs. It’s skilled, repetitive — and it ties your capacity to your headcount.

30–60 min
typical expert time to digitize one left-chest logo from scratch
4–24 hrs
typical turnaround promised to customers
~80%
of the work is mechanical — fills, satin columns, underlay, routing — the part software can draft

Why this is different

Generic auto-digitizing failed for 20 years. Style-calibrated drafting is not that.

You’ve seen one-click digitizing since the ’90s, and you rejected it for good reason: the output isn’t yours. Wrong densities, wrong techniques, wrong sequencing.

StitchDraft inverts the model. It is calibrated on your back-catalogue, so drafts come out in your signature — your densities, your satin widths, your trim discipline. Your experts approve or touch up, and every touch-up tunes your engine further.

  • Your files → your style fingerprint → your model. Never pooled with a competitor’s.
  • Experts review drafts in minutes instead of digitizing from zero.
  • Every correction is captured and feeds the next calibration pass.
  • The backlog you already own becomes your competitive asset.

How it works

From artwork to approved stitch file in five steps.

Ingest backlog

Your historical stitch files are mined into a measured style profile: densities, satin widths, underlay habits, trim discipline.

Job arrives

Customer artwork (PNG, JPG, vector, PDF) is vectorized and classified shape-by-shape: satin column, tatami fill, fine-detail run.

Draft in your style

The engine generates a production .DST using your measured parameters — underlay, pull compensation, lock stitches included.

Expert review

Your digitizer sees a sewn-preview in the browser, approves or fixes the hard 20%. Minutes, not most of an hour.

Flywheel

The difference between draft and final is captured as training signal. The next draft needs less fixing.

Proof · measured, not promised

Head-to-head on identical artwork.

Comparison of the same centenary logo digitized twice: professional digitizer's stitch file on top, StitchDraft's draft below

Top: professional digitizer, 4,403 stitches. Bottom: StitchDraft draft after calibration on just 26 of that shop’s files, 3,283 stitches. Same artwork, same 100 mm size, zero human touch-up.

Working prototype output, July 2026. The draft is not yet the pro’s equal on wide serif strokes and finest detail — that remaining gap is exactly what your experts’ corrections close, which is why StitchDraft licenses to digitizers rather than pretending to replace them.

The style fingerprint

26 files in. One signature out.

A pilot corpus of one shop’s real production files, mined automatically. Their style is measurably consistent — which is exactly what makes per-shop calibration work.

ParameterMeasured across 26 designsConsistency
Satin density0.41 mmidentical on all 26 files
Satin column width2.1 mm median · 3.5 mm p95scales with letter size
Run / underlay stitch1.9 mmstable
Trim discipline1.9 per 1,000 stitchestight routing, every job
Technique rangesatin-led lettering · 11-colour fills · hairline runsfull range captured

The same mining runs unattended over a 50,000-file backlog. Every additional file sharpens the fingerprint per fabric, per size, per technique.

The flywheel

Your experts don’t just use it. They compound it.

Draft

Engine produces the .DST in your house style.

↓ minutes

Correct

Your expert fixes what falls short — small text, a stitch angle, a density.

↓ captured

Diff

Draft vs final compared automatically, block by block.

↓ parameters

Recalibrate

The gap becomes a measured update. The next draft starts closer.

↩ every job

What your shop gains

Capacity, not headcount.

The same team ships multiples of the volume. Overnight turnaround becomes minutes. Growth stops being gated on hiring scarce digitizers.

Illustrative capacity model for simple-to-medium logo work at 3–10 min review per draft vs 30–60 min manual digitizing; validated per shop during the pilot. Complex jobs still route to full manual work.

The guarantee

Your style is your model.

A digitizing shop’s house style is its identity. Ours is the guarantee that it stays that way.

You’re not giving your craft to an AI company. You’re turning your own back-catalogue into an asset only you can use.

  • Your corpus, corrections and calibration profile are isolated per licensee — contractually and architecturally.
  • No cross-shop training. Your data never improves a competitor’s drafts.
  • If you leave, your profile leaves with you.

Commercials

You only pay for files your experts accept.

Drafts and regenerations are free — a file is only ever billed once your team approves it for production. If a draft isn’t worth finishing, it costs nothing.

Pricing is agreed with founding partners as part of the pilot — talk to us.

Start here

One pilot. 100 backlog files. Two weeks to a number.

Everything on this page that can be argued with gets settled by one pilot:

  • Acceptance rate — the share of drafts your experts approve with minor or no changes
  • Minutes-to-fix — expert time per draft vs digitizing from scratch
  • Flywheel slope — how fast both improve over the two weeks
An auto-digitized draft of the Eighteen logo in dark thread on light fabric

A job the shop hadn’t digitized yet, drafted by the engine — the pilot, in miniature.