whats-best.ai

Translation & Localization

LILT

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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 LILT, Inc. · lilt.com

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

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LILT at a glance

Vendor
LILT, Inc.
Headquarters
Not stated on the vendor’s pages as of 1 Nov 2026
Data hosting
Default not stated; pages mention United States source, captured 1 Nov 2026
Free plan
Not stated on the vendor’s pages as of 1 Nov 2026
Panel verdict
The AI panel rates LILT 3.5/5, the mean of 6 judges. LILT is an enterprise AI translation platform built on adaptive machine translation with human review. how scores are made
As of
Vendor pages captured 1 Nov 2026; evaluated by the panel 2 Nov 2026. all sources

LILT alternatives, European ones first →

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

The Localization Manager

Weighted verdict

Runs localization for a Hamburg software company whose product, help centre and marketing site ship in fourteen languages, with two agencies and a pool of freelancers. Every release brings a few thousand new strings and a deadline. Wants one translation memory and termbase across all content, machine translation that respects the glossary, review steps per language, QA checks that stop a broken placeholder before it ships, and cost and progress per vendor in one view.

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

Scored by The Localization Manager

Panel median The Localization Manager 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 Localization Manager
Machine translation & AI quality 3.5 of 5 3.5 of 5
Translation memory, terminology & review workflow 3.5 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 2.5 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.

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The Localization Manager

LILT's adaptive engine is the real thing: models fine-tuned in real time from human corrections and trained on our own historical data, a choice of third-party LLMs (OpenAI, Anthropic, Google) alongside their own context-aware models, and brand guidelines, glossaries and tone-of-voice applied when output is produced, with a documented API endpoint listing the supported language pairs. AI review agents do an initial error pass and content is routed by risk profile to human experts, which covers steering; we found no public information on a published quality evaluation with its method, and error checking is described as flagging potential errors rather than a calibrated per-segment quality score with a documented routing rule. 1 5 10 11 12 13

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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 Localization Manager

Memory and termbase are first-class citizens: TMX, Trados and XLIFF import, termbase entries that override the memory like glossary items and are highlighted during translation, a Manage entries screen, and a CAT tool with predictive capabilities for translators and reviewers. Review is covered by AI review agents before humans see the text, a Reviewed by default setting, usage-based human-expert verification through LILT's own network, role-based access with per-domain segmentation, and real-time analytics on delivery, quality and spend — though we found no public information on configurable blocking QA checks per project, fuzzy-match penalties, or comments and screenshots for translator context. 2 5 12 13 14 17 19

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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 Localization Manager

The connector catalogue is the broadest I have judged: 100+ native integrations spanning GitHub, GitLab, Bitbucket and self-hosted Git, the main CMS platforms (Contentful, Sitecore, Drupal, WordPress via WPML, Adobe Experience Manager), Shopify and Salesforce Commerce Cloud, Figma, Zendesk and Intercom, plus TMS-to-TMS bridges to Trados, Phrase, Crowdin, Lokalise and Smartling — alongside a documented REST API, native MCP support, developer documentation and a public status page. We found no public information on a CLI, SDKs, over-the-air updates, webhooks, office or browser add-ins, or documented API limits. 1 2 9 14 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 Localization Manager

SOC 2 Type II (audited by A-LIGN) plus ISO 9001 and ISO 17100 are stated with their auditors, a data processing agreement and the European Commission's standard contractual clauses are offered, and single sign-on sits on the Enterprise tier with certificate-of-translation audit trails. The privacy policy states encryption and firewalls, the self-managed documentation details database encryption and mutual TLS between services, and private cloud, on-premises and air-gapped deployments go beyond what I usually see. The captured pages are silent, though, on whether customer texts train LILT's own cross-customer models and on zero-retention terms with the named LLM providers, and retention is stated only as no obligation to keep information beyond 90 days after services end. 1 5 6 7 12 16 17

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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 Localization Manager

Translation memory and termbase import in open and Trados formats (TMX, XLIFF, sdltm, tmq, TBX, CSV), the termbase exports to CSV through documented API endpoints, and there is a self-managed edition with its own documentation covering memory management and encryption on infrastructure the customer controls — on-premises, bare metal and air-gapped are all named as deployment options. We found no public information on exporting the translation memory itself back out as TMX, a complete export of files, comments and history, or data return and deletion terms on termination. 9 12 13 17 18 19

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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 Localization Manager

The captured pages name LILT, Inc. of San Francisco as controller, state that the company's servers are located in the United States and that Google Cloud Platform provides the computing infrastructure; a data processing agreement, the European Commission's standard contractual clauses and a subprocessor listing in the security documentation portal are the documented safeguards. On-premises, private cloud and air-gapped editions are documented, which a European customer could run on its own servers, but we found no public information on EU hosting for the cloud service or an EU representative. 2 6 7 8 12 16

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Pricing transparency not rated — the vendor publishes no price

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 Localization Manager

Every plan on the public pricing page — Team, Business, Enterprise and Government — says Contact Sales, with a Request Pricing call to action and no figures anywhere in the captured pages; even detailed MCP pricing is only referenced, never shown. The published tier feature lists tell me what each tier contains, but from these pages alone I cannot begin to compute an annual cost for a given volume of words or languages. 5 10

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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 — uncited Report an error
Hosting options Not determined ⚠ unverified — 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 LILT

Is LILT European?

No. whats-best.ai classifies LILT as Rest of world.

Where does LILT store data?

The default storage location for customer data is not stated on the vendor’s pages as of 1 Nov 2026. The vendor’s pages mention United States as hosting location, per the vendor’s page captured 1 Nov 2026.

Does LILT have a free plan?

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

What are the best alternatives to LILT?

As of 2 Nov 2026, the panel rates SimpleLocalize (3.5/5), Phrase Localization Platform (3.5/5) and Tolgee (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: LILT 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.

Sources (19)

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

  1. 1 Vendor homepage lilt.com Checked 1 Nov 2026 Details →
  2. 2 Features page (AI platform) lilt.com Checked 1 Nov 2026 Details →
  3. 3 Features page (translation assist) lilt.com Checked 1 Nov 2026 Details →
  4. 4 Integrations page lilt.com Checked 1 Nov 2026 Details →
  5. 5 Pricing page lilt.com Checked 1 Nov 2026 Details →
  6. 6 Terms of service lilt.com Checked 1 Nov 2026 Details →
  7. 7 Privacy policy lilt.com Checked 1 Nov 2026 Details →
  8. 8 Security / trust page lilt.com Checked 1 Nov 2026 Details →
  9. 9 Features page (private deployment) lilt.com Checked 1 Nov 2026 Details →
  10. 10 Machine translation & AI quality — found from sitemap lilt.com Checked 1 Nov 2026 Details →
  11. 11 Machine translation & AI quality — found from sitemap support.lilt.com Checked 1 Nov 2026 Details →
  12. 12 Translation memory, terminology & review workflow — found from sitemap lilt.com Checked 1 Nov 2026 Details →
  13. 13 Translation memory, terminology & review workflow — found from sitemap support.lilt.com Checked 1 Nov 2026 Details →
  14. 14 Integrations, file formats & developer tools — found from sitemap lilt.com Checked 1 Nov 2026 Details →
  15. 15 Integrations, file formats & developer tools — found from sitemap lilt.com Checked 1 Nov 2026 Details →
  16. 16 Confidentiality of translated content — found from sitemap lilt.com Checked 1 Nov 2026 Details →
  17. 17 Confidentiality of translated content — found from sitemap support.lilt.com Checked 1 Nov 2026 Details →
  18. 18 Data export, portability & self-hosting — found from sitemap support.lilt.com Checked 1 Nov 2026 Details →
  19. 19 Data export, portability & self-hosting — found from sitemap support.lilt.com Checked 1 Nov 2026 Details →