Easygenerator VS ViewForge

Easygenerator's answer

Easygenerator is built so internal experts and L&D teams can create training together, without needing any instructional design skills. The award-winning AI suite turns existing documents into courses, improves content, and translates learning into 75+ languages, so teams can scale training quickly. This makes it easy for organizations to capture internal knowledge and share it globally.

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.

Easygenerator's answer

Easygenerator is designed for ease of use, so anyone can create training without instructional design skills. It combines AI-powered content creation, built-in collaboration, and quick translation, making it simple to scale learning across the organization.

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.

Easygenerator's answer

Easygenerator is built for L&D teams, HR professionals, and internal experts who need to create and share company knowledge at scale. It’s especially useful for organizations with global teams and fast-changing information.

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.

Easygenerator's answer

Easygenerator was created to make learning creation accessible to everyone, not just instructional designers. The goal has always been to help organizations capture internal knowledge and share it easily across the business. We call this model "Employee-generated Learning," and we've been promoting and advocating for it since 2013.

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.

Easygenerator's answer

Easygenerator is a cloud-based SaaS platform that uses AI, web technologies, and integrations with popular learning platforms. It supports standards like manual and dynamic SCORM to ensure content works across different learning environments.

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

Easygenerator's answer

Easygenerator is used by more than 2,000 organizations worldwide, including Electrolux, DHL, Danone, and Morningstar.