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RunwayML VS ViewForge

Compare RunwayML VS ViewForge and see what are their differences

RunwayML

Create impossible video

Rating
0 reviews
Alternatives Is it good?
ViewForge

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.

Rating
0 reviews
Pricing
Freemium Free trial $19 / Monthly ($19/month Starter 1,000 products, custom templates, CSV import)
Alternatives Is it good?
Mind Diary
MindDiary therapy practice management software: digital intake, lead capture, client check-ins, therapist-reviewed AI notes, telehealth, and revenue follow-up. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, RunwayML seems to be more popular. It has been mentioned 55 times since March 2021.

social mentions
55 vs 0
AI popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

RunwayML
ViewForge
Website runway.com normalview.pro
Pricing
Official pricing
Freemium Free trial $19 / Monthly ($19/month Starter 1,000 products, custom templates, CSV import) Official pricing
Platforms —
Shopify
Company — Startup from the United States · 1 - 9 employees · 2026
Listed in
Marketing Social Media Tools Video Editors AI +1
eCommerce Tools Custom Search Fitment

About RunwayML and ViewForge

In their own words, as submitted to SaaSHub.

RunwayML
ViewForge

No description of RunwayML yet.

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...

Read more about ViewForge

Features and specs

What each product offers, as listed by its team.

RunwayML 5 features
ViewForge 9 features
  • User-Friendly Interface
    RunwayML offers an intuitive interface that allows users with varying technical expertise to easily navigate through the platform and use machine learning models without needing extensive coding knowledge.
  • Pre-Trained Models
    The platform provides a wide array of pre-trained models that can be easily implemented for different tasks such as image generation, object detection, and more, saving time on model training and preparation.
  • Real-Time Collaboration
    RunwayML supports real-time collaboration features, making it easier for teams to work together on machine learning projects, share insights, and make collective decisions.
  • Integration with Popular Tools
    RunwayML integrates seamlessly with popular creative software like Adobe Photoshop, Unity, and other digital tools, enhancing its utility for creative professionals.
  • Accessibility
    The platform is hosted in the cloud, which means users can access its features from anywhere with an internet connection, facilitating remote work and collaboration.

Possible disadvantages

  • Subscription Costs
    While RunwayML offers powerful tools and a free tier, advanced features and higher usage quotas come at a subscription cost, which may be a barrier for individual users or small teams with limited budgets.
  • Dependence on Internet Connection
    Because it's cloud-based, RunwayML requires a stable internet connection to function effectively. Poor connectivity can hinder performance and accessibility.
  • Limited Customization Options
    Although RunwayML provides a range of pre-trained models, the level of customization for these models might not meet the needs of users requiring highly specific or intricate adjustments.
  • Learning Curve for Advanced Features
    While the basic functionalities are user-friendly, mastering the more advanced features and getting the most out of the platform requires a certain level of expertise in machine learning.
  • Scalability Issues
    For very large-scale or highly specialized projects, the platform's resources and tools might not be sufficient, necessitating alternative or supplementary solutions.
  • Fitment Information
    Cascading Year/Make/Model fitment search, up to four levels
  • Vertical integration nobody else has
    8 built-in vertical templates, plus custom templates on paid tiers
  • Shopify Metaobjects
    Fitment stored as native Shopify metaobjects — your data survives uninstall
  • Smart Data Processing
    Smart Parse: extract fitment from existing product titles and descriptions, with confidence scoring
  • CSV Import/Export
    CSV import with fuzzy matching and a coverage dashboard
  • ACES / PIES
    ACES / PIES import and NHTSA VIN decoding
  • My Garage
    Saved-vehicle garage, compatibility table, and product-page fit notice
  • Context Aware Fitment Search
    Collection-level fitment assignment
  • No Obligations
    Free tier with no expiry, up to 50 products

Analysis

An editorial look at what each product does well and who it suits.

RunwayML
ViewForge

Overall verdict

  • Yes, RunwayML is generally considered a good tool for creative professionals and artists who want to integrate machine learning into their workflows.

Why this product is good

  • RunwayML provides an accessible platform for creatives to leverage machine learning models without requiring deep technical expertise in AI. It offers a user-friendly interface, seamless integration with other tools, and a growing library of pre-trained models that can be easily applied to various creative projects ranging from video editing to generative art.

Recommended for

  • Video editors looking to enhance their projects with AI-driven effects and editing tools.
  • Artists who want to experiment with generative art using machine learning models.
  • Designers aiming to incorporate unique AI elements into their work.
  • Educators and students interested in exploring AI and ML in creativity-focused fields.
  • Developers seeking to prototype with machine learning models quickly without extensive coding.

No analysis of ViewForge yet.

Videos

Walkthroughs and reviews on video.

RunwayML 1 video + Add
ViewForge 1 video + Add

RunwayML Live Demo: AI/ML Easy Object Removal With New Inpainting Tool

ViewForge: YMM Search & Filter

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
RunwayML
ViewForge
100% 100%
AI
0% 0%
0% 0%
eCommerce Tools
100% 100%
100% 100%
AI Video Generator
0% 0%
0% 0%
Custom Search
100% 100%

Questions & Answers

As answered by people managing RunwayML and ViewForge.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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.

What's the story behind your product?

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.

Which are the primary technologies used for building your product?

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

User comments

Share your experience with using RunwayML and ViewForge. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

RunwayML no reviews yet
ViewForge no reviews yet
  • Top 11 AI Image Generators to Try in 2024
    www.animotica.com · Jun 2024

    In summary, RunwayML is perfect for creatives who need a versatile and comprehensive tool for their multimedia projects. Whether you’re working on images, videos, or audio, this platform offers the functionality and...

We have no reviews of ViewForge yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

RunwayML 55 mentions
ViewForge 0 mentions
  • Beyond LLMs: How World Models Are Changing Generative Media
    Recently, companies like Runway are leveraging world models beyond robotics and autonomous vehicles, applying them directly to video generation and user interfaces. - Source: dev.to / 15 days ago
  • The Text Field is the New Dashboard
    The guy: Matthew Gallagher, 41. He spent $20,000 and two months building Medvi, a GLP-1 weight-loss telehealth company, from his living room in Los Angeles. The stack: ChatGPT, Claude, and Grok writing code. Midjourney for images. Runway... - Source: dev.to / 5 months ago
  • [2025 Guide] Transform Photos: Best Image to Video AI Tools
    Tools range from cinematic generators like Runway to specialized D2C platforms like Koro that automate product showcases. - Source: dev.to / 9 months ago

View more

Tracking ViewForge since Aug 2026.

Alternatives to RunwayML and ViewForge

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