ProofVue
Design Analyzer

From a rough ideato a factory-ready spec

Drop in a messy tech pack, a few reference photos, or a plain description of what you want made. The AI structures it into a clean, manufacture-level spec sheet: measurements and grading notes, materials and weights, stitching and construction, trims, tolerances, and artwork placement, in the format a factory can quote from.

AI analysis arrives with the AI layer at launch
Before
your notes
navy hoodie thing
heavyweight?? ~400 gsm maybe
fleece inside, the soft one
kangaroo pocket, front
drawcord = flat not round
double needle hem (i think)
embroidery, left chest, small
ribbed cuffs + waist
size M sample first
tolerances?? no idea lol
After
AI-structured
Product
Pullover hoodie, heavyweight fleece
Materials
80/20 cotton-poly, 400 gsm brushed-back
Measurements
Body 71cm (M), 1:1 grade, +2cm per size
Construction
Set-in sleeve, flatlock, double-needle hem
Trims
Flat 8mm drawcord, matte tips, woven label
Tolerances
+/- 1cm length, +/- 0.5cm openings
Upload

Clean up any tech pack

Your idea rarely starts as a tidy document. It starts as phone notes, a screenshot, a paragraph you typed on the train. Paste in whatever you have and the AI reads it, groups it into the fields a factory expects, and writes each one in clean, unambiguous language.

Where a detail is missing, it marks the gap to confirm instead of guessing a number.

The AI cleanup runs once the AI layer is live at launch
You drop in
Messy notesReference photosPlain description
The AI returns
Structured
Product
Pullover hoodie, heavyweight fleece
Materials
80/20 cotton-poly, 400 gsm brushed-back
Construction
Flatlock seams, double-needle hems
Trims
Flat 8mm drawcord, woven main label
Spec sheet

Manufacture-level detail

A factory cannot quote a mood board. It needs numbers. The spec sheet lands at manufacture level: fabric composition and weight, seam and stitch construction, stitch density, trims down to the drawcord and label, and a point-of-measure table with grading and tolerances.

Every field reads the way a pattern maker reads, so nothing gets lost in translation on the factory floor.

  • Materials and weights, with composition spelled out
  • Stitching, seams, and construction, not just a photo
  • Points of measure with grading and tolerances
Materials
Fabric
Brushed-back fleece
Weight
400 gsm
Composition
80% cotton / 20% poly
Construction
Seams
Flatlock, set-in sleeve
Hem
Double-needle, 1.5cm
Stitch density
10 SPI
Points of measure
Point of measureSize MGrade
Body length (HPS)71.0 cm+2.0
Chest, 2.5cm below armhole58.0 cm+2.5
Sleeve length62.0 cm+1.5
Cuff opening9.0 cm+0.5
Bottom rib height8.0 cm0
Quotes

Speak the factory's language

A clean spec is the difference between a vague reply and a firm price. When a factory can see exactly what you want made, quotes come back faster, closer to real, and with fewer rounds of back and forth.

Pair the spec with the outreach templates and send it straight to a manufacturer with direct contact on record.

See the outreach templates
298OF 377
Send it somewhere real

298 of the 377 manufacturers on record have direct contact. A clean spec plus an outreach template goes straight to the factory that can quote it.

Quote-ready
MaterialsMeasurementsConstructionTrimsTolerancesArtwork
AI-analyzed

The AI reads and rebuilds

The analyzer parses messy input, notes, reference photos, or a plain description, and rebuilds it as one consistent, factory-ready spec. It keeps the details you gave, writes them in a factory's format, and flags anything it cannot determine rather than inventing a value.

Structured from messy input

Notes, reference photos, or a plain description become labeled spec fields in a clean, readable layout.

Consistent factory format

The same sections in the same order every time, written the way a pattern maker and a quoting team read.

Nothing invented, gaps flagged

Missing measurements, materials, or trims are marked to confirm, never filled with a guessed number.

Hand your factorya spec it can quote

The Design Analyzer is in development; the AI cleanup arrives with the AI layer.