TL;DR
- Our October 26, 2026 analysis matched selected translation and language identities on 9,666 of 1,099,406 recent store-domain records (0.88%).
- Weglot was the largest matched name group, with 4,674 records.
- Language coverage and currency conversion are separate checks. Inspect translated product content, language switching and localized purchase steps on the live storefront.
October 26 study: recent public signals
We selected the most recent successful full scan per record from September 26 through October 25, 2026 (UTC), required saved app and pixel lists, and excluded 3,163 records currently marked confirmed dead. The 1,099,406-record denominator includes 105,592 scans with no detected apps. It describes recent StoreInspect coverage, not a representative census of live merchants.
This panel uses 12 specified name groups, matched exactly after normalizing case and surrounding spaces. Hreflang tooling is included as a language-related signal. This list does not fully observe native Translate & Adapt, custom translations or backend localization.
| Tracked name group | Recent records | Share of full cohort |
|---|---|---|
| Weglot | 4,674 | 0.43% |
| GTranslate | 1,548 | 0.14% |
| LangShop | 1,198 | 0.11% |
| Langify | 939 | 0.09% |
| Transcy | 869 | 0.08% |
| Hreflang Manager | 493 | 0.04% |
| Image Translate Easy | 74 | Under 0.01% |
| Ez Market Translate | 15 | Under 0.01% |
| Content Translation | 1 | Under 0.01% |
| EA Auto Translate Language | 0 | 0.00% |
| Language Translate by Uplinkly | 0 | 0.00% |
| Translate My Store | 0 | 0.00% |
The 9,666 figure counts each matched record once. Name groups can overlap, so do not add provider rows together. The 3 zero-count groups had no matches under these exact rules.
| Estimated monthly traffic | Cohort records | Matched records | Match rate |
|---|---|---|---|
| Under 50K | 1,066,914 | 8,582 | 0.80% |
| 50K–200K | 27,301 | 776 | 2.84% |
| 200K–1M | 5,164 | 305 | 5.91% |
| 1M–5M | 27 | 3 | 11.11% |
The under-50K tier accounts for 97.04% of this cohort; the 1M–5M tier has only 27 records.
Detector versions were not recorded for this cohort, so do not read the gap between these counts and the June study below as provider growth.
Earlier research and product checks
The studies and product comparisons below keep their own dates, samples and matching rules.
What our storefront data adds to the shortlist
Our June 26, 2026 extraction found 10,149 records with a detected translation/language app among 743,081 store records with app-name data: 1.37%. Weglot was the largest matched provider, with 4,911 records, or 48.4% of the translation group.
Those figures show which tools are most commonly observed.
Method and scope
The study used stored StoreInspect app-name records, traffic estimates, country/category fields, and contacts. Records marked confirmed dead were excluded. No maximum scan or email-verification age was imposed, and age distributions were not retained.
The translation rule includes full translation suites and narrower language/hreflang tools. Currency/geolocation uses a separate finite name rule. Co-detections can overlap, so provider shares need not sum to 100%. Current vendor and native capabilities below were checked separately on October 10, 2026 through publisher documentation, not hands-on installation tests.
| June matched provider | Records | Share of translation group |
|---|---|---|
| Weglot | 4,911 | 48.4% |
| GTranslate | 2,049 | 20.2% |
| LangShop | 1,583 | 15.6% |
| Langify | 1,292 | 12.7% |
| Hreflang Manager | 431 | 4.2% |
| Remaining matched names | 41 | 0.4% |
Compare native coverage first
Shopify Translate & Adapt supports manual and automatic content translation, including products, collections, blogs, policies, and pages. Manual editing lets the merchant control wording and adapt content, images, and logos by market. Shopify also documents automatic-translation maintenance features whose availability can depend on country.
Start by testing the native workflow against the actual content types and languages you publish. A third-party app should solve a documented requirement the current setup does not meet, such as a specific review process, app-content coverage, or cross-store URL mapping. Manual editing and market localization are native features, not only third-party ones.
Current tool comparison
The comparison below lists documented capabilities.
| Tool | Publisher-documented control checked October 10 | What to verify in a trial |
|---|---|---|
| Weglot | Manual editing, glossary rules, team collaboration, professional translation options, and language/word-based plans | Exact reviewer permissions, content exclusions, app widgets, and word allowance for your catalog |
| GTranslate | In-context editing on paid plans; Bilingual Startup $12/month, Startup $25/month, Business $35/month adds URL translation | Whether the chosen plan covers languages, indexable pages, translated URLs, manual review, and third-party content |
| LangShop | AI/manual translation, glossary/content rules, dynamic/app-content coverage and language/currency selectors | Your actual content types, plan limits, language/market mapping, and review process |
| Langify | Manual and machine translation, import/export; free plan lists unlimited manual translations in up to five languages | App-content coverage, paid automation limits, theme compatibility, and editing ownership |
| GWA: Hreflang Manager | Hreflang mapping for multi-store or Markets setups, including content matching | Existing native hreflang, duplicate output, URL relationships, and mapping accuracy; it is not a translation-writing substitute |
GTranslate's paid plans explicitly permit editing. For legal-copy approval or team review, test the workflow you need in a trial. Prices are the listed USD monthly options checked October 10; recheck the exact plan before subscribing.
Currency and translation matches compared
For the currency-specific decision, our Shopify currency converter app study compares native Markets, current free-plan limits and a live selector that changed country alongside currency.
The June overview counted:
| Matched group | Records |
|---|---|
| Translation/language rule | 10,149 |
| Currency/geolocation rule | 50,999 |
| Both rules | 1,419 |
| Translation only | 8,730 |
| Currency/geolocation only | 49,580 |
| Either rule | 59,729 |
Currency/geolocation matches were about five times as common as translation/language matches.
Translation matches rose with estimated traffic: 0.57% of under-50K records, 2.56% at 50K–200K, and 5.53% at 200K–1M in the traffic query. The separately run traffic table contained nine more records than the overview.
Candidate account cuts for localization research
| June screening rule | Records | Any stored contact | Any verified email | Verified-email role heuristic + LinkedIn |
|---|---|---|---|---|
| 50K+ estimate, currency/geolocation match, no translation match | 33,201 | 28,735 | 12,689 | 425 |
| 50K+ estimate, country classified non-English, no translation match | 41,371 | 35,591 | 20,504 | 565 |
| 50K+ estimate, 5+ apps, no translation match | 215,647 | 182,369 | 92,294 | 4,590 |
These cuts can overlap. Country classification is a stored field, not visitor language. “Any stored contact” can be a non-email contact, and the role column uses a broad title heuristic, so confirm the person's current role before outreach.
Use these cuts to choose accounts to inspect, then ask:
- Which languages and markets are actually published, including native translations?
- Which visitor markets matter according to authorized analytics or the merchant?
- Are product, policy, navigation, cart, and relevant app strings translated correctly?
- Do campaign landing pages match the intended language and market?
- Is there a specific URL, editing, approval, or maintenance requirement the current tools miss?
Those checks give your message an observed issue to describe.
Merchant QA before choosing a tool
Test one representative product and collection in every target language, including variant labels, metafields, reviews, signup forms, search, cart, and policy pages. Confirm who owns updates when product copy or an app widget changes.
Check language switching on mobile, translated URLs, canonical/hreflang output, currency and checkout behavior, and whether manually reviewed text survives automatic refreshes. Record the test date, pages, languages, chosen plan, and observed result. That record is the evidence behind a recommendation.
FAQ
Which translation app should I compare first?
Start with native Translate & Adapt and the requirements it must meet. Weglot had the largest matched footprint in both our June and October studies; GTranslate, LangShop, and Langify have different documented controls worth comparing.
Does no translation-app match mean a storefront is English-only?
No. Native, custom, manual, or headless translation can escape the app-name rule. Inspect published languages and the actual buying journey before making that claim.
Does a translation app guarantee good international SEO?
No. Check the localized content and URL relationships it produces, including canonical tags, hreflang, indexation and copy quality.
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