Stitchmate VS ViewForge

Stitchmate's answer

Competitors are either dated desktop apps frozen in 2005 (PCStitch, WinStitch) or basic free tools with clunky interfaces and mediocre output.

Stitchmate offers modern, fluid editing that feels like Figma—instant response, smooth at any zoom level. It works fully on mobile, not just desktop.

And the conversion algorithms are smarter: automatic confetti reduction, perceptual color matching to real thread brands, real-time preview as you adjust.

ViewForge's answer:

Data ownership. Fitment lives in your Shopify metaobjects, so uninstalling does not take your compatibility data with it. Convermax, EasySearch and PartFinder all keep it in their own databases, and getting it back depends on their export tooling on the day you cancel.

Cost at the low end. The search widget, the compatibility table on the product page and the saved-vehicle garage are all on the free tier, up to 50 products, with no expiry. EasySearch puts the table and the garage behind its $75/month Premium plan. Convermax starts at $250/month.

Automotive and non-automotive coverage. Eight built-in templates, and fully custom templates from $19/month, for catalogs that do not decompose into Year/Make/Model at all.

Stitchmate's answer

Three things:

• First, editor UX built to Figma-level standards—GPU-accelerated rendering, instant response, smooth zooming and panning, keyboard shortcuts, all running at 60fps.
• Second, a complete mobile experience that actually works—not a stripped-down afterthought, but full editing on tablets and phones.
• Third, conversion quality: smart confetti reduction that groups isolated cells automatically, perceptual color matching (CIEDE2000) to real thread catalogs, and the unique FLOW score designed to predict how satisfying a design will be before you start.

ViewForge's answer:

Three things. (1) Data ownership: ViewForge writes fitment as Shopify metaobjects native to your store — most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — most competitors are automotive-only. (3) Smart Parse: extract fitment automatically from your existing product titles and descriptions instead of re-typing everything.

Stitchmate's answer

Cross-stitch enthusiasts who want to turn personal photos—pets, portraits, landscapes—into charts they'll actually enjoy working. Pattern designers selling on Etsy who need professional exports and clean conversions without wrestling with legacy software. Mobile-first crafters who want to design on their iPad or tablet.

ViewForge's answer:

Shopify merchants whose customers need to know whether a part fits before they will buy it — and who do not have an engineer on staff to build that themselves.

Concretely: auto and truck parts retailers, powersports and motorcycle dealers, tractor and agricultural parts sellers, marine and outboard suppliers, small-engine and power equipment stores, bicycle and e-bike component shops, printer supply merchants, and electronics accessory sellers.

Catalog sizes run from a few dozen products on the free tier up into the tens of thousands; it is running in production on a catalog of roughly 40,000 SKUs. The common thread is not the industry — it is that "does this fit my thing" is the question deciding the sale.

Stitchmate's answer

Built out of frustration with existing tools that feel stuck in the Windows XP era—slow, clunky, desktop-only. The goal: software that respects both the craft and the crafter, with world-class performance, algorithms designed around what makes a design satisfying to work, and a mobile experience that doesn't compromise.

ViewForge's answer:

ViewForge came out of agency work. Normal View was building for a parts retailer running roughly 12,000 SKUs who needed fitment search, and every app we evaluated stored the merchant's compatibility data in the vendor's own database.

That is a strange trade when you look at it directly. Fitment data is genuinely expensive to produce — it is weeks of work — and the merchant would not own the result. It would belong to whichever app happened to be installed that year.

Shopify metaobjects made a different answer possible: write fitment as native structured data inside the merchant's own store. The theme reads it, the Storefront API queries it, Admin GraphQL exports it, and it is still there after an uninstall. That decision is what the rest of the app is built around.

Everything else came from real catalogs rather than a roadmap. Eight verticals exist because a tractor catalog is not Year/Make/Model. Smart Parse exists because that retailer had already written fitment into 12,000 product titles, and nobody was ever going to retype them.

Stitchmate's answer

React, TypeScript, Canvas2D/WebGL2 hybrid rendering for 60fps performance, Web Workers for background processing, Vercel hosting, Supabase for cloud storage.

ViewForge's answer:

• TypeScript
• Shopify metaobjects, as the fitment data store
• Shopify theme app extensions for the storefront components: fitment search, saved-vehicle garage, compatibility table, product-page fit notice
• Shopify Storefront API, for querying fitment from the theme
• Shopify Admin GraphQL API, for writing and exporting fitment records
• NHTSA vehicle database, for VIN decoding
• ACES and PIES XML parsing, for automotive catalog import

Stitchmate's answer

• Individual crafters converting family photos and pet portraits
• Hobbyists designing their own custom patterns or gifts for weddings and birthdays
• Pattern designers selling on Etsy and Ravelry
• Mobile-first users designing on iPads and tablets