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Google Duplex VS ViewForge

Compare Google Duplex VS ViewForge and see what are their differences

Google Duplex

An AI assisstant that can talk on the phone πŸ€–

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 β€” 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, Google Duplex seems to be more popular. It has been mentioned 3 times since March 2021.

social mentions
3 vs 0
Productivity popularity
100% vs 0%

Base details

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

Google Duplex
ViewForge
Website ai.googleblog.com normalview.pro
Pricing β€”
Freemium Free trial $19 / Monthly ($19/month Starter 1,000 products, custom templates, CSV import) Official pricing
Platforms β€”
Shopify
Company β€” Startup from the United States Β· 1 - 9 employees Β· 2026
Listed in
AI AI Assistant Productivity Chatbots +1
eCommerce Tools Custom Search Fitment

About Google Duplex and ViewForge

In their own words, as submitted to SaaSHub.

Google Duplex
ViewForge

No description of Google Duplex 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 β€” 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.

Google Duplex 4 features
ViewForge 9 features
  • Natural Conversation
    Google Duplex is designed to interact in a natural, human-like manner. It can understand complex sentences, nuances, and context, which makes it capable of handling real-world conversations with minimal miscommunication.
  • Task Automation
    Duplex excels at automating simple, repetitive tasks such as making restaurant reservations or booking appointments, thus saving time and effort for users.
  • Improved Customer Experience
    Businesses benefit from a seamless, automated service through Google Duplex, which ensures appointments and bookings are handled efficiently without requiring human intervention from the business side.
  • Accessibility
    Duplex aids individuals who may have difficulty with certain tasks due to disabilities by handling conversations and bookings on their behalf, increasing their accessibility to various services.

Possible disadvantages

  • Privacy Concerns
    The collection and handling of data by Google Duplex raise privacy concerns, as users may worry about how their data is stored and used, and the system might be listening to sensitive conversations.
  • Ethical Considerations
    There are ethical concerns regarding the transparency of interactions, as people interacting with Duplex may not know if they are speaking to a machine, leading to potential deception.
  • Limited Scope of Application
    Despite its advanced capabilities, Google Duplex is currently limited to specific tasks such as making reservations and cannot handle more complex tasks or understand all cultural nuances.
  • Reliability Issues
    Google Duplex's performance can be inconsistent, especially in noisy environments or when faced with unusual conversational scenarios, potentially leading to errors and miscommunication.
  • 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 β€” 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

Videos

Walkthroughs and reviews on video.

Google Duplex 2 videos + Add
ViewForge 1 video + Add

Testing Google Duplex LIVE! 😬

More videos

  • - Galaxy S10+ Google Duplex AI Making Reservations

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
Google Duplex
ViewForge
100% 100%
Productivity
0% 0%
0% 0%
eCommerce Tools
100% 100%
100% 100%
AI
0% 0%
0% 0%
Custom Search
100% 100%

Questions & Answers

As answered by people managing Google Duplex 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 β€” most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics β€” 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 β€” 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 β€” 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 β€” it is weeks of work β€” 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 Google Duplex and ViewForge. For example, how are they different and which one is better?

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Social recommendations and mentions

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

Google Duplex 3 mentions
ViewForge 0 mentions
  • How is this bot so real? Lol. Feels like I'm talking to Karl Franz
    Sounding like AI and being able to actually hold a conversation while in character are two different things though. Some really fancy ones are getting really close. Source: almost 4 years ago
  • For first time, average pay for supermarket and restaurant workers tops $15 an hour - $15 an hour is suddenly the rule, not the exception, for U.S. workers. It’s a major shift from pre-pandemic norms.
    For example: https://ai.googleblog.com/2018/05/duplex-ai-system-for-natural-conversation.html. Source: about 5 years ago
  • Suggestions for creating an "uncanny valley" AI voice
    I'm working on a game that has an AI narrator talking to the player. I messed around with some filters in Audacity that I don't know how to use until I realized I don't want a stereotypical computer voice, what I'm actually looking for... Source: over 5 years ago

Tracking ViewForge since Aug 2026.

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