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QualiBooth: Your premier web accessibility solution. Achieve ADA and WCAG compliance effortlessly with real-time scans and continuous monitoring. Get started now!

Year/Make/Model fitment search for Shopify. 8 verticals, Smart Parse, and your data in Shopify metaobjects — not a vendor database. Free tier, Pro at $49.

Website, pricing, platforms and company facts side by side.
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| Website | qualibooth.com | normalview.pro |
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| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


QualiBooth simplifies web accessibility compliance by conducting real-time scans and analyses of web pages. It swiftly identifies accessibility barriers, providing accurate scores and actionable insights for prompt resolution. The platform adheres to industry standards such as the European...
ViewForge is a Year Make Model (YMM) parts finder for Shopify. Shoppers pick their vehicle, machine or device from cascading dropdowns and see only the parts that fit. Fitment search works across eight verticals — auto, motorcycle, tractor, marine, power equipment, bicycle, printer and...
What each product offers, as listed by its team.


Walkthroughs and reviews on video.
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ViewForge: YMM Search & Filter
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Qualibooth and ViewForge.
Qualibooth's answer
QualiBooth stands out by combining automated scanning with human expertise, ensuring comprehensive web accessibility compliance. This approach addresses the limitations of relying solely on AI solutions. With powerful reporting tools and recommendations, QualiBooth assists developers in seamlessly integrating accessibility checks into their workflow across various environments, from development to production.
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.
Qualibooth's answer
QualiBooth prioritizes genuine digital accessibility. Unlike automated overlay solutions, QualiBooth's software offers comprehensive insights into accessibility issues. Recognizing the limitations of AI in fully addressing complex challenges, QualiBooth advocates for manual intervention by experts to ensure meaningful enhancements. The approach emphasizes human judgment and ongoing compliance through a combination of monitoring tools and manual audits.
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.
Qualibooth's answer
QualiBooth caters to businesses of all sizes, ranging from startups to large enterprises, across various industries. It serves web developers, website owners, digital agencies, and organizations committed to ensuring their online platforms are accessible to all users, in compliance with regulations such as the European Accessibility Act, ADA, and WCAG.
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.
Qualibooth's answer
QualiBooth, founded in 2022, is driven by a mission to ensure digital accessibility for all. They believe in breaking down barriers and empowering individuals with disabilities to fully engage online. Through innovation and dedication, QualiBooth strives to create a more inclusive digital world.
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.
ViewForge's answer:
Share your experience with using Qualibooth and ViewForge. For example, how are they different and which one is better?
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