whats-best.ai
Search Sign in

Translation & Localization

memoQ

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 memoQ Translation Technologies Ltd. · www.memoq.com

Report an error on this page Is this your product? →

Link to this page

memoQ: AI-assisted analysis on whats-best.ai memoQ: 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.

memoQ at a glance

Vendor
memoQ Translation Technologies Ltd.
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 memoQ 2.5/5, the mean of 6 judges. memoQ is a translation management system from memoQ Translation Technologies Ltd., registered in Budapest, with generative AI translation (memoQ AGT) running on Microsoft's Azure OpenAI Service. how scores are made
As of
Vendor pages captured 1 Nov 2026; evaluated by the panel 2 Nov 2026. all sources

memoQ 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 of 5 3.5 of 5
Translation memory, terminology & review workflow 3 of 5 3.5 of 5
Integrations, file formats & developer tools 3.5 of 5 3.5 of 5
Confidentiality of translated content 3.5 of 5 3.5 of 5
Data export, portability & self-hosting 3 of 5 3 of 5
European sovereignty 3.5 of 5 4 of 5
Pricing transparency 2 of 5 2 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.

Report an error

The In-House Document Translator

Adaptive generative translation is documented in detail: memoQ AGT combines an LLM's in-context learning with translation memory retrieval, the models come from Microsoft's Azure OpenAI Service, and custom domain-adapted engines can be trained on our own data in cloud or on-premises modes, with a rule that any AGT output must be checked and approved by a human linguist. DeepL, Google and Microsoft machine translation plugins connect free with a third-party account, and PDF conversion plus an InDesign-compatible preview cover the contract and manual formats I deal in. We found no public information on automatic per-segment quality estimation with routing to review, engine selection per language pair, or a published quality evaluation with its method. 2 7 10

Report an error

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.

Report an error

The In-House Document Translator

Translation memories and term bases are shared across the server, with a lookup tool that reaches beyond assigned projects under admin-controlled access, and Qterm manages terminology in the browser with approval statuses, term requests, discussions and ISO 704/10241 support — exactly the central glossary a legal and export team needs. The workflow side promises workflow management, project tracking, quality checks, reports and a PM dashboard, and the product list includes in-country review. We found no public information on configurable blocking QA rules per project, a named linguistic quality framework, or ordering translators and agencies inside the product. 1 2 4 7

Report an error

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.

Report an error

The In-House Document Translator

There are documented APIs — a Web Service API to manage projects, documents and resources, a resources API and a CMS API for building our own connector — plus five SDKs, connectors for WordPress, Drupal, Figma, Contentful and Adobe Experience Manager, Git-based sync with GitHub, GitLab and BitBucket, and package import from Trados and Transit. The PDF conversion and InDesign-compatible preview are what matter most for my Word and PDF files. The Web Services API is available only with an Azure private server or on-premises deployment, and we found no public information on a command-line tool, webhooks or documented API limits. 5 6 7 10

Report an error

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.

Report an error

The In-House Document Translator

The terms contain the written promise I need: customer prompts and outputs are never used to train, retrain or improve any LLM or third-party service, the LLM relied on is stateless with nothing stored, the customer retains all rights to their content, and a data processing addendum is part of the published terms. ISO 27001:2017 certification, enforced multi-factor authentication and the documented on-premises or dedicated private-cloud deployment would let me keep draft contracts on our own servers, with the AI provider named as Microsoft's Azure OpenAI Service. The processor list is expressly not exhaustive, single sign-on exists only with a private server or on-premises deployment, and we found no public information on customer-set retention or deletion of translated texts. 7 9 10 11

Report an error

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.

Report an error

The In-House Document Translator

Terminology leaves in open form — Qterm imports and exports TBX, CSV and MultiTerm XML — packages arrive from Trados and Transit, migration assistance moves resources into memoQ (manual on Starter, automated at a custom fee on the higher plans), and the on-premises edition with installation assistance keeps our translation assets in our own infrastructure, with the customer retaining all rights to their content. We found no public information on translation memory export in TMX, on export of comments and revision history, or on the return or deletion of data when a subscription ends. 4 7 10

Report an error

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.

Report an error

The In-House Document Translator

This is a European vendor: memoQ Zrt. in Budapest is the controller, registered at the Budapest company court with an EU VAT number, the NAIH as supervisory authority, a published data processing addendum and ISO 27001:2017 certification. The terms document an on-premises edition where we license and operate the TMS in our own infrastructure or a hosting service under our control, and custom private machine translation and LLM plugins are available on-premises, so the whole chain can be ours. In the cloud the deployment sits on Microsoft Azure's worldwide infrastructure with no EU region named, the processor list is declared not exhaustive, and transfers to the USA run on GDPR Standard Contractual Clauses — which is why I stop here rather than call it sovereign end to end. 7 8 9 10 11

Report an error

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.

Report an error

The In-House Document Translator

Only the Starter tier is priced publicly — From $3,025 / year, billed annually, for one project manager license with five linguist subscriptions and 10 GB storage — while Essential, Professional and Enterprise all read Contact Sales, so the cost of the private or on-premises deployment I would actually buy is a sales conversation. Unlimited characters in every plan at no charge and no volume-based pricing are genuinely helpful, and trial, educational and 4Free editions exist. Extended storage is priced 'depending on deployment' and automated migration carries a custom fee, so the real annual cost is not computable from the public pages. 2 7 9 10

Report an error

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 — uncited Report an error
Hosting options Not determined — uncited Report an error
Open source Not determined ⚠ unverified — 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 memoQ

Is memoQ European?

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

Where does memoQ store data?

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

Does memoQ have a free plan?

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

What are the best alternatives to memoQ?

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: memoQ 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.

Do you know more about memoQ? Tell us Report an error on this page

Sources (11)

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

  1. 1 Vendor homepage www.memoq.com Checked 1 Nov 2026 Details →
  2. 2 Features page (translation management) www.memoq.com Checked 1 Nov 2026 Details →
  3. 3 Features page (AI translation) www.memoq.com Checked 1 Nov 2026 Details →
  4. 4 Features page (terminology) www.memoq.com Checked 1 Nov 2026 Details →
  5. 5 Integrations page (content management) www.memoq.com Checked 1 Nov 2026 Details →
  6. 6 API documentation www.memoq.com Checked 1 Nov 2026 Details →
  7. 7 Pricing page www.memoq.com Checked 1 Nov 2026 Details →
  8. 8 Legal notice www.memoq.com Checked 1 Nov 2026 Details →
  9. 9 Privacy policy www.memoq.com Checked 1 Nov 2026 Details →
  10. 10 Terms of service www.memoq.com Checked 1 Nov 2026 Details →
  11. 11 Security / trust page www.memoq.com Checked 1 Nov 2026 Details →