Both apps render a cascading dropdown, a saved garage and a filtered collection. If you compare screenshots you will find nothing, because the widget is not the hard part. The hard part is getting fitment data in and keeping it right — and Spark Fitment has exactly one route: a CSV you already own.
Everyone has a dropdown. The data is the job.
Cascading selector in the theme editor. Universal-fit products that always show. A garage that remembers the vehicle between visits. Live filtering on collections. Spark Fitment does all of that and so does ViewForge, and any comparison built on those four bullets is a comparison of two things that are the same. The widget has been solved for years. What separates fitment apps is upstream of it.
CSV import with visual product mapping. That is the whole pipeline, and it works on one condition: you already have a clean, finished fitment spreadsheet. If a supplier handed you one, good — the job is an afternoon. Most merchants are not in that position. The fitment exists, but it is inside product titles, or in a supplier XML nobody can open, or in a spreadsheet where Chevrolet is also Chevy and CHEV. A CSV mapper has no answer to any of those; it assumes the hard work is already done.
Manual entry on the free tier, for a catalog you can type. CSV import from $19, with fuzzy matching that catches Chevy against Chevrolet before it lands and a coverage dashboard that tells you which products still have no fitment. Smart Parse from $49, which reads fitment out of your own product copy. ACES/PIES XML with NHTSA VIN decode on Premium, for suppliers who ship the industry format. Four routes, because merchants arrive holding four different things.
If your fitment lives in titles like "Fits 2015–2019 Ford Focus SE", an app that only reads CSV makes you retype it into a spreadsheet before it can be imported. On 900 products that is not an afternoon, it is a fortnight, and it is the single most common reason a fitment project stalls. Smart Parse reads the copy you already have and produces structured records with a confidence score on each, so you review the forty ambiguous ones instead of all nine hundred. There is nothing equivalent on Spark Fitment at any tier.
If you sell auto parts, your suppliers already publish fitment as ACES XML — it is the Auto Care Association standard, and it is what the catalog data you are paying for arrives in. Spark Fitment lists no XML support at any price. That means converting the standard format of your own industry into a CSV before the app will look at it. ViewForge takes the file directly on Premium, alongside NHTSA VIN decode, so a shopper can enter a VIN instead of guessing at a submodel.
Spark Fitment describes a fixed Year / Make / Model / Submodel / Engine selector and advertises no custom or renameable dimensions. For a pure car parts catalog those are the right five fields. ViewForge ships eight templates — automotive, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — and all four dimensions rename and reorder, so Brand / Series / Model / Implement is a configuration rather than a feature request. That matters the day the catalog stops being only cars, and not before.
Two things, said plainly. Their free tier allows 5,000 vehicle entries against our 50 products — different units, and worth the arithmetic: one brake pad fitting 200 vehicles is 200 entries but a single product, so which tier is larger depends entirely on how wide your fitment matrix runs. And they ship conversion analytics free — selections, popular vehicles, add-to-carts. ViewForge has no equivalent; the coverage dashboard measures catalog completeness, not conversion. If that reporting is what you came for, buy theirs.
Spark Fitment keeps vehicle entries in its own admin on their infrastructure. ViewForge writes every record as a native Shopify metaobject — in your store, queryable through the Admin GraphQL API, and still there after an uninstall. That is not a reason to switch on its own. It is the reason switching is cheap to reverse, which is the more useful property in an app you are still evaluating.
Both apps render the same dropdown. The difference is what you are allowed to feed it — and three of the four ViewForge routes exist precisely because the merchant did not already have a clean spreadsheet.
Install freeIts App Store listing describes bulk CSV import and visual product mapping, and lists no ACES or PIES XML support at any tier. Auto parts suppliers publish fitment as ACES XML — the Auto Care Association standard — so using it with Spark Fitment means converting the file to CSV first. ViewForge imports ACES/PIES directly on the $240/month Premium tier, together with NHTSA VIN decode.
No. Spark Fitment imports fitment from a CSV you supply and offers visual mapping of products to vehicles; nothing in its listing reads product titles or descriptions. ViewForge Smart Parse, on the $49/month Professional tier, extracts fitment from existing product copy such as "Fits 2015–2019 Ford Focus SE" and returns structured records with a confidence score on each, so you review the ambiguous ones rather than retyping the catalog.
Its listing describes a fixed Year/Make/Model/Submodel/Engine selector and does not advertise custom or renameable dimensions, so a catalog of tractors, marine engines, printers or bicycle components has no obvious field structure to use. ViewForge ships eight templates — automotive, motorcycle, tractor, marine, power equipment, bicycle, printer and electronics — and all four cascading dimensions can be renamed and reordered from the $19/month Starter tier.
Spark Fitment is free up to 5,000 vehicle entries, $50/month up to 20,000 entries, and $100/month for unlimited entries. ViewForge is free up to 50 products with fitment, then $19/month for 1,000 products, $49/month for 5,000 plus Smart Parse, and $240/month for unlimited with VIN decode and ACES/PIES import. The units differ: they meter vehicle entries, ViewForge meters products. One part fitting 200 vehicles is 200 entries but one product, so which plan is cheaper depends on how wide your fitment matrix is.
Conversion analytics — selections, popular vehicles and add-to-carts — included on its free tier. ViewForge has no equivalent; its coverage dashboard reports which products are still missing fitment, which is a catalog-completeness tool rather than a conversion one. Spark Fitment also permits more fitment rows on its free tier than ViewForge permits products, which favours a small catalog of parts that each fit many vehicles.
Export your vehicle entries as CSV from the Spark Fitment admin and map the columns in the ViewForge importer, included from the $19/month Starter tier. Fuzzy matching flags near-duplicate make and model spellings before they land. If the export is incomplete, Smart Parse can often rebuild the missing fitment from your product copy instead. ViewForge writes the records as Shopify metaobjects, so the data ends up in your store rather than a vendor database. Confirm with the coverage dashboard, then uninstall.
Judge a fitment app on the day you have 3,000 SKUs, a supplier XML file you cannot open, and fitment buried in product titles nobody has touched since 2019. That is the day the dropdown stops mattering and the import pipeline is the entire product. Spark Fitment answers it with a CSV mapper. ViewForge answers it four different ways, in your store, in metaobjects you keep. see ViewForge →