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Translation & Localization

Weglot

EU-Made Report an error

Panel rating · 6 judges · How to read the stars

Category median

Sovereignty: not determined

0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.

by Weglot SAS · www.weglot.com

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Weglot: AI-assisted analysis on whats-best.ai Weglot: AI-assisted analysis on whats-best.ai (dark)

Add ?theme=dark to the image address for dark backgrounds. The badge shows the category and the month of the latest evaluation, and EU-Made where that is the product’s provenance. It never shows a score.

Weglot at a glance

Vendor
Weglot SAS
Headquarters
Not stated on the vendor’s pages as of 1 Nov 2026
Data hosting
Not stated on the vendor’s pages as of 1 Nov 2026
Free plan
Not stated on the vendor’s pages as of 1 Nov 2026
Panel verdict
The AI panel rates Weglot 2.5/5, the mean of 6 judges. Weglot is a website translation service from WEGLOT SAS, a simplified joint-stock company in Paris under French law. how scores are made
As of
Vendor pages captured 1 Nov 2026; evaluated by the panel 2 Nov 2026. all sources

Weglot alternatives, European ones first →

Read this page as one judge. Each weighs the same scores by what they care about.

The In-House Document Translator

Weighted verdict

Works in the legal and export team of a machine builder in Baden-Württemberg with customers in France, Italy, Poland and China. Translates contracts, operating manuals and supplier correspondence every day, with no translation management system and no wish for one. Needs translations that read like the company wrote them, the company's terms kept through a glossary, Word and PDF files back with their layout intact, and a written promise that a draft contract is not kept or used to train anything.

Same scores as the panel view — this lens weights them the way this judge cares.

Scored by The In-House Document Translator

Panel median The In-House Document Translator This judge’s scores over the panel median. Each label opens its reasoning below.
Scores per criterion, in stars out of 5
Criterion Panel median The In-House Document Translator
Machine translation & AI quality 3.5 of 5 3.5 of 5
Translation memory, terminology & review workflow 2.5 of 5 2.5 of 5
Integrations, file formats & developer tools 3 of 5 3 of 5
Confidentiality of translated content 3 of 5 3 of 5
Data export, portability & self-hosting 2.5 of 5 2.5 of 5
European sovereignty 3.5 of 5 3.5 of 5
Pricing transparency 3.5 of 5 3.5 of 5

Machine translation & AI quality

How this is scored

What the machine translation does and how well it is controlled: the languages and language pairs covered, the engine (own neural or LLM model, or a choice of third-party engines such as DeepL, Google, Microsoft or an LLM), glossaries and formality applied during translation, document translation that keeps the layout (Word, PowerPoint, PDF, InDesign), custom or adaptive models trained on the customer's own translations, automatic quality estimation or scoring, and published evaluations of translation quality.

0 — No machine translation of any kind, and no way to connect an engine.

3 — Machine translation is offered or one engine can be connected; languages, glossary use and quality controls are basic or not described.

5 — Machine translation for the major European and world languages with the list published, glossaries applied during translation, a formality or tone setting, document translation that keeps formatting for common office formats, and either an own engine or a choice of several named engines.

8 — Custom or adaptive models that learn from the customer's translation memory or corrections, automatic quality estimation per segment with a threshold that routes weak segments to human review, LLM-based translation with style guides and context, engine selection per language pair stated, and a published quality evaluation with its method.

10 — Translation quality that an organisation can measure and steer: evaluations against named benchmarks or blind human review published with their method, quality estimation calibrated and explained, custom models with their training data and isolation documented, and every machine-translated segment traceable to the engine, model version and glossary that produced it.

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The In-House Document Translator

The captured pages describe website translation, and we found no public information on translating Word, PDF or InDesign documents with their layout. For the machine translation itself the evidence is strong: three named engines (DeepL, Google Translate, Microsoft) with automatic selection per language pair, a custom model on OpenAI and Gemini that learns from my glossary rules and manual edits, a tone of voice setting, engine versions per project, and a published Nimdzi study using human linguists as its method. 2 3 6 11 12

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Translation memory, terminology & review workflow

How this is scored

How translation is managed as an ongoing process: translation memory with fuzzy matches, a termbase or glossary managed centrally, style guides, review and approval stages, automated QA checks (placeholders, tags, length, terminology, punctuation), an in-context or visual editor, screenshots and context for translators, tasks and deadlines, roles per language, and ordering or inviting human translators and agencies inside the product.

0 — No management of translations at all; text goes in and comes out with nothing stored or reviewed.

3 — Translations can be edited or a glossary kept; translation memory, review stages and QA checks are basic or not described.

5 — A translation memory reused across projects, a central glossary, at least one review or approval stage, automated QA checks for placeholders and terminology, comments and screenshots for context, and roles that limit translators to their languages.

8 — Configurable multi-step workflows with automation rules, an in-context or visual editor for apps or websites, QA checks configurable per project with blocking rules, style guides applied by the AI, translation memory and termbase shared across projects with penalties and priorities, vendor or agency management with ordering inside the product, and progress and cost reporting per language.

10 — A translation process an enterprise runs on: workflows per content type with conditional routing on quality scores, linguistic quality assessment with a named framework (MQM or similar), termbase with approval workflow and forbidden terms, full revision history per segment, and productivity and quality metrics per translator and vendor.

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The In-House Document Translator

A central glossary with automatically applied rules and a builder template, a translation memory on the top plan, a visual editor on a live preview of the site, and ordering professional translators via TextMaster and an expert directory inside the product are all documented. We found no public information on automated QA checks for placeholders or terminology, review and approval stages, or roles that limit translators to their languages — the checks I rely on before a contract goes out the door. 2 3 6 15

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Integrations, file formats & developer tools

How this is scored

How content gets in and out: the file formats supported (XLIFF, PO, JSON, YAML, Android XML, iOS strings and xcstrings, Office documents, InDesign), a REST API and CLI, SDKs and over-the-air updates for apps, Git repository sync (GitHub, GitLab, Bitbucket) and CI pipelines, connectors for CMS, shop and design tools (WordPress, Contentful, Shopify, Figma), browser and office add-ins, webhooks, and a JavaScript snippet or proxy for website translation.

0 — No documented way to get content in or out except typing or pasting by hand.

3 — File upload and download or a basic API; formats, repository sync and connectors are basic or not described.

5 — A documented REST API, a list of supported file formats covering the common software and document formats, sync with at least one Git host or CI, and connectors or plugins for several named CMS, shop or design tools.

8 — A CLI and SDKs for named platforms, over-the-air updates for mobile or web apps, Git sync with branching, webhooks, connectors for the main CMS, shop, design and support tools, office or browser add-ins, a public status page, and API limits documented.

10 — Integration that scales across an organisation: an API covering every function of the product with versioning and SDKs, an app or connector framework third parties build on, continuous localization in CI with pull requests opened automatically, and every connector documented with its limits and the fields it syncs.

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The In-House Document Translator

Seventy-plus native integrations are documented — WordPress, Shopify, Webflow, Wix, Salesforce, Adobe Experience Manager, SAP Commerce Cloud, Zendesk, HubSpot — plus a documented API, an npm React SDK with Next.js support, a JavaScript snippet for any website, and an API status page. The documented file exchange covers CSV and XLIFF only, and we found no public information on Git repository sync, CI pipelines, a CLI or webhooks — nor on the Office and InDesign formats my documents live in. 4 5 6 13 15

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Confidentiality of translated content

How this is scored

What happens to the text a customer translates: whether source and target texts are stored and for how long, deletion after translation, whether customer content is used to train the vendor's or a third party's models, which machine translation and LLM providers a TMS sends text to and whether that can be restricted or switched off, encryption in transit and at rest, single sign-on, roles and audit logs, and certifications (ISO 27001, SOC 2) with their scope. Where the text is processed is scored under sovereignty.

0 — Customer texts are stored indefinitely and used for the vendor's own purposes, or no statement on data handling exists at all.

3 — The product is described as secure or GDPR-compliant and a privacy policy exists; retention of translated texts, model training and third-party engines are basic or not described.

5 — A documented statement that customer texts are not used to train models, retention or deletion of translated texts stated, the third-party engines or LLM providers named, encryption in transit and at rest, single sign-on on a business tier, and a data processing agreement offered.

8 — Texts deleted immediately after translation or after a retention period the customer sets, third-party AI processing switchable per project or account, zero-retention terms with the named LLM providers, audit logs, granular roles, ISO 27001 or SOC 2 certification stated with its scope, and a private or dedicated deployment option.

10 — Confidentiality that can be verified: an on-premise or customer-controlled deployment, customer-managed encryption keys, every subprocessor that sees content listed with its role, independent audit reports available, and every data flow of a translation request documented end to end.

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The In-House Document Translator

A data processing agreement, SOC 2 Type II, encryption in transit and at rest, SAML single sign-on and two-factor authentication are documented, and Weglot warrants its AI sub-processors do not retain or train on client data. Against that, the terms grant Weglot a free right to use translation data to improve the quality of the service — not the clean promise I need for a draft contract — and we found no public information on customer-set retention, switching AI providers per project, or audit logs. 3 6 7 10

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Data export, portability & self-hosting

How this is scored

Whether translation assets stay the customer's and can leave with them: export of translation memory and termbase in open formats (TMX, TBX, XLIFF, CSV), export of all projects and files, import from another TMS, an API that can read every asset, the return or deletion of data on termination, open-source code and a self-hosted or on-premise edition.

0 — Translations cannot be exported; they exist only in the vendor's interface or engine.

3 — Translated files can be downloaded; export of translation memory and glossary, import and termination terms are basic or not described.

5 — Translation memory exportable as TMX and glossary as TBX or CSV, all project files downloadable, import of translation memory and glossaries from another tool, and an API that reads translations and keys.

8 — Complete export of every asset (memory, termbase, files, comments, history) in open formats, a documented migration path from named competitors, the data returned or deleted on termination under stated terms, and a self-hosted or on-premise edition with its own documentation.

10 — The customer owns the assets end to end: open-source code under a named licence that runs fully self-hosted with feature parity stated, a complete export another tool can import without loss, and the deletion of every copy on termination documented.

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The In-House Document Translator

Export of all translations with a choice of format, language pairs and qualities (also by URL or by selection), CSV and XLIFF import, the user keeping copyright on translations, a six-month written-request window after the subscription ends, and deletion of customer data upon leaving are all stated. We found no public information on TMX or TBX export of memory and glossary, a documented migration path from another tool, or a self-hosted edition. 7 10 15

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European sovereignty

How this is scored

Who the contracting entity and the parent company are, where texts are translated, stored and processed, and who the subprocessors are (hosting, machine translation engines, LLM providers, CDN for over-the-air delivery, support and payment tools). Independently sourced by the sovereignty pipeline; translated texts often hold personal data and trade secrets, so the whole chain counts, including the engines a TMS calls. A self-hosted edition the customer runs on its own European servers counts as the customer's chain, whatever the vendor's seat.

0 — Non-EU vendor and contracting entity, hosting unstated, subprocessors unnamed, and no data processing agreement offered.

3 — A privacy policy and a data processing agreement exist, but hosting location is unstated or non-EU and the subprocessors are not listed.

5 — EU hosting available and an EU contracting entity or EU representative, but parts of the chain (machine translation or LLM providers, CDN, support, payment) run through non-EU providers without a stated safeguard.

8 — EU hosting on named infrastructure, EU contracting entity, subprocessors listed with their locations including the engines and LLM providers, a data processing agreement published, and security certifications (ISO 27001, SOC 2) stated — or a self-hosted edition documented that keeps every text on the customer's own servers.

10 — Sovereign end to end and evidenced: European ownership, entity, hosting, engine and every subprocessor, or a self-hosted open-source edition with no call home, data export and deletion documented, and certifications published with their scope rather than implied.

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The In-House Document Translator

Weglot is a Paris simplified joint-stock company under French law with the CNIL as supervisory authority, publishes a data processing agreement, SOC 2 Type II and a subprocessor directory with locations and email notification of changes, and states data is hosted on servers in the European Union at Amazon Web Services. The captured pages give different figures for hosting location — the trust centre lists Amazon Web Services as EU or US, Datadog in the US and Cloudflare as global, with US transfers covered by the Data Privacy Framework — and give no location for the Google, Microsoft, OpenAI and Gemini engines. 7 8 10

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Pricing transparency

How this is scored

Whether a buyer can compute the real annual cost from public pages alone: price per tier by characters, words, keys, hosted words or seats, what happens when the volume exceeds the tier, the number of users, projects and languages included, which features (machine translation volume, AI credits, SSO, integrations, API access) cost extra, the free tier and its limits, the self-hosted edition and its support, minimum term and setup.

0 — No public prices at all; every customer is a sales call.

3 — A starting price or a free tier exists, but how cost scales with volume, seats or features is unclear.

5 — Tiers are public with their price per volume band and main inclusions, but at least one commonly needed piece (overage, extra seats, machine translation or AI volume, SSO, connectors) is unpriced or "on request".

8 — Every tier priced publicly with its scaling rule (characters, words, keys, seats), overage handling stated, add-ons and AI credits priced, the self-hosted edition's cost or licence stated, minimum term and VAT treatment stated.

10 — Complete price computability: annual cost derivable for a given volume, seat count and feature set, with every add-on, setup, support and overage fee and the cancellation and data-return terms published.

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The In-House Document Translator

Five tiers are public from €0 (2,000 words, one language, five team members) to €699 per month excluding VAT (5,000,000 words, 20 languages, 50 team members), with annual billing at two months free, VAT treatment stated, monthly or annual periods, and prorated automatic upgrades when a limit is exceeded. The Enterprise tier is price on request, and we found no public price for professional translations or additional languages. 6 7

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European sovereignty — proven facts

0 of 6 dimensions proven

Built only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.

Hosting location Not determined ⚠ unverified — uncited Report an error
Hosting options Not determined — uncited Report an error
Open source Not determined — uncited Report an error
Data processing agreement Not determined ⚠ unverified — uncited Report an error
Transfer impact assessment Not determined — uncited Report an error

Questions about Weglot

Is Weglot European?

Yes. whats-best.ai classifies Weglot as EU-Made.

Where does Weglot store data?

Not stated on the vendor’s pages as of 1 Nov 2026.

Does Weglot have a free plan?

Not stated on the vendor’s pages as of 1 Nov 2026.

What are the best alternatives to Weglot?

As of 2 Nov 2026, the panel rates SimpleLocalize (3.5/5), LILT (3.5/5) and Phrase Localization Platform (3.5/5) highest among the other 12 Translation & Localization products evaluated. Ratings that look equal are rounded to half stars; the order uses the unrounded rating, then the name. The highest-rated European alternative is SimpleLocalize (EU-Made). Ratings are the AI panel’s opinion, formed from public evidence: how scores are made. The full list, with European products first: Weglot alternatives.

Where this could be wrong

What we left out

A claim that does not survive our checks costs us the claim, not the page. This is what was taken off this one.

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Sources (15)

The pages every claim on this page was read from — each one checked, dated, and kept verifiable.

  1. 1 Vendor homepage www.weglot.com Checked 1 Nov 2026 Details →
  2. 2 Features page www.weglot.com Checked 1 Nov 2026 Details →
  3. 3 Features page (AI translation quality) www.weglot.com Checked 1 Nov 2026 Details →
  4. 4 Integrations page www.weglot.com Checked 1 Nov 2026 Details →
  5. 5 API documentation developers.weglot.com Checked 1 Nov 2026 Details →
  6. 6 Pricing page www.weglot.com Checked 1 Nov 2026 Details →
  7. 7 Terms of service and legal notice www.weglot.com Checked 1 Nov 2026 Details →
  8. 8 Privacy policy www.weglot.com Checked 1 Nov 2026 Details →
  9. 9 Security / trust page www.weglot.com Checked 1 Nov 2026 Details →
  10. 10 Security / trust page (trust centre) trust.weglot.com Checked 1 Nov 2026 Details →
  11. 11 Machine translation & AI quality — found from sitemap www.weglot.com Checked 1 Nov 2026 Details →
  12. 12 Machine translation & AI quality — found from sitemap developers.weglot.com Checked 1 Nov 2026 Details →
  13. 13 Integrations, file formats & developer tools — found from sitemap developers.weglot.com Checked 1 Nov 2026 Details →
  14. 14 Integrations, file formats & developer tools — found from sitemap www.weglot.com Checked 1 Nov 2026 Details →
  15. 15 Data export, portability & self-hosting — found from sitemap www.weglot.com Checked 1 Nov 2026 Details →