Translation & Localization
SimpleLocalize
EU-Made Report an error0–5 in half steps. 5 means the rubric's top anchor is met on the evidence.
by Jakub Pomykała Software · simplelocalize.io
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SimpleLocalize at a glance
- Vendor
- Jakub Pomykała Software
- 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
- Yes, per the vendor’s own page source, captured 1 Nov 2026
- Panel verdict
- The AI panel rates SimpleLocalize 3.5/5, the mean of 6 judges. SimpleLocalize, a translation-management service from Jakub Pomykała Software, a sole proprietorship in Wrocław, Poland, scored strongest on integrations and formats (7 to 9): a native CLI, a GitHub App that opens pull requests, over-the-air SDKs for Android, iOS and macOS, a REST API with an OpenAPI spec and thirty-plus file formats are documented. how scores are made
- As of
- Vendor pages captured 1 Nov 2026; evaluated by the panel 2 Nov 2026. all sources
Read this page as one judge. Each weighs the same scores by what they care about.
The panel's verdict
SimpleLocalize, a translation-management service from Jakub Pomykała Software, a sole proprietorship in Wrocław, Poland, scored strongest on integrations and formats (7 to 9): a native CLI, a GitHub App that opens pull requests, over-the-air SDKs for Android, iOS and macOS, a REST API with an OpenAPI spec and thirty-plus file formats are documented. Weakest is portability and exit (4 to 5): exports run to formats including Excel and JSON, but we found no public information on exporting the translation memory or glossary as TMX or TBX, on a migration path from another tool, or on a self-hosted edition. Sovereignty scores hold at 7 on exclusively AWS EU hosting, encrypted EU backups and a published data processing agreement; the EU-storage promise carves out optional machine translation and AI features. Pricing transparency scores 7 to 8, with all four tiers public from Community at €0 for ever to Business at €99 / month billed yearly. Judges' differences stayed narrow — never more than two points, widest on integrations and formats, where the developer persona scored 9 and the data protection officer 7.
Speaks for it
- A native CLI on Windows, macOS and Linux, a GitHub App that opens pull requests, and over-the-air SDKs for Android, iOS and macOS are all publicly documented
- Auto-translation runs through named engines — DeepL, Google Translate, OpenAI, Anthropic, Gemini, OpenRouter or a custom endpoint — and using your own API key does not consume the plan's character quota
- Customer data is hosted exclusively in AWS EU regions, with daily encrypted backups in geographically redundant EU locations, under a publicly available data processing agreement
- All four tiers and add-ons are public — Community €0 for ever, Developer €12 / month billed yearly, Team €35 / month billed yearly, Business €99 / month billed yearly, plus +500 translation keys €5.00, +250k characters €12.00 and +25 team members €25.00 — with no per-user upcharge
- Translation memory applies 100% matches before any engine is called, and automated QA checks for placeholders, broken HTML, ICU syntax and length can block publishing
Held against it
- We found no public information on exporting the translation memory or glossary as TMX or TBX, on a documented migration path from another tool, or on a self-hosted edition
- We found no public information on the translation-key allowance included in each tier, so an annual cost at volume cannot be computed from the public pages
- We found no public information stating that translated texts are not used to train models, or on zero-retention terms with the AI providers
- The ISO 27001 and SOC 2 certifications cited belong to the data centres and hosting infrastructure, with only SOC 2 readiness claimed for the vendor itself
- We found no public information on documented API rate limits, on ordering human translators or agencies inside the product, or on per-segment quality scoring
Best for
- You ship iOS, Android or web software and want a CI-friendly pipeline that returns pull requests and serves translation fixes over the air without a store release
- You want to choose or swap translation engines as cost and quality change, including running local models so texts stay on your own infrastructure
- You must keep customer data in the EU and show your buyer a publicly available data processing agreement with a named subprocessor list
- You are a solo developer or small team budgeting from public prices, starting at Community €0 for ever or Developer €12 / month billed yearly
Avoid if
- Your compliance policy rules out any optional non-EU processing, since the EU-storage promise carves out optional machine translation and AI features
- You require the vendor's own ISO 27001 or SOC 2 certification in the contract, as the published certificates cover the data centres and hosting infrastructure and the vendor's own claim is SOC 2 readiness
- You must compute your full annual cost before committing, as all plans are subject to a Fair Use Policy and we found no public information on the per-tier translation-key limits
- Your exit plan depends on exporting your translation memory and glossary in open formats such as TMX or TBX — portability and exit scored 4 to 5, the lowest-scoring criterion
The scores
| Criterion | Panel median |
|---|---|
| Machine translation & AI quality | 3 of 5 |
| Translation memory, terminology & review workflow | 3.5 of 5 |
| Integrations, file formats & developer tools | 4 of 5 |
| Confidentiality of translated content | 3 of 5 |
| Data export, portability & self-hosting | 2.5 of 5 |
| European sovereignty | 3.5 of 5 |
| Pricing transparency | 3.5 of 5 |
Machine translation & AI quality
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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.
The Localization Manager
Auto-translation runs through a genuine choice of named engines — DeepL, Google Translate, OpenAI, Anthropic, Gemini, OpenRouter, a custom endpoint, or a local model via Ollama — with DeepL glossaries applied, tone and per-language prompts, excluded words and variable protection, and 100% translation memory matches applied before any engine is called. What keeps it below the top is that we found no public information on automatic quality estimation per segment, adaptive models that learn from our own corrections, or any published quality evaluation; document translation that keeps Word or InDesign layout is also not documented. 3 11 6 14 12
The App Developer
Auto-translation offers a real choice of named engines — DeepL, Google Translate, OpenAI, Anthropic, Gemini, OpenRouter and any custom OpenAI-compatible endpoint, including local models via Ollama — with the provider configurable per language, tone and project context sent along, DeepL glossaries applied, and placeholder and ICU exclusions. I found no public information on quality estimation per segment, adaptive models trained on my own corrections, or a published quality evaluation, and no document translation that keeps Word or PowerPoint layout. 3 11 12
The In-House Document Translator
Auto-translation runs through a wide choice of named engines — DeepL, Google Translate, OpenAI, Anthropic, Gemini, OpenRouter or a custom endpoint — with glossaries applied during translation (managed in-app from the Team plan or synced from our own DeepL account), per-language tone and context instructions, excluded words and phrases, and local models via Ollama. For my contracts and manuals what counts against it: we found no public information on document translation that keeps Word or PDF layout, on automatic quality estimation or scoring, on models trained on our own corrections, or on any published quality evaluation. 3 5 6 11 12
The Data Protection Officer
Auto-translation runs through a wide choice of named engines — DeepL, Google Translate, OpenAI, Anthropic, Gemini, OpenRouter and a custom endpoint — with the provider configurable in language settings, DeepL glossaries applied during translation, tone and context instructions sent with each request, and published language lists with ISO codes. We found no public information on automatic quality estimation that would route weak segments to human review, on custom models trained on our own corrections, or on any published quality evaluation with its method, which is what I would need before sending member letters through any of it. 3 5 11 12
The E-Commerce Marketer
Auto-translation gives me a real choice of engines — DeepL, Google Translate, OpenAI, Anthropic, Gemini, OpenRouter or my own endpoint — steered by tone-of-voice and per-language context instructions, a DeepL glossary, exclusion lists and ICU variable detection, which covers my German formality and brand-term worries. The context engine sends project description, key descriptions, screenshots, character limits and placeholder rules with every request, and exact memory matches are applied before an engine is called. We found no public information on document translation that keeps Word or PDF layout, on per-segment quality scoring that flags weak translations for human eyes, or on published quality evaluations. 3 11 12
The Skeptic
The engines are named and numerous — DeepL, Google Translate, OpenAI, Anthropic, Gemini, OpenRouter, a custom endpoint, even local models via Ollama — with bring-your-own keys, tone and per-language context sent on every request, DeepL glossaries, exclusion lists and translation memory applied before any external call. What I never found is an automatic quality score per segment, a custom model trained on the customer's corrections, or any published quality evaluation; the languages page is a general world-languages dataset, not engine coverage by language pair. 3 11 6 12
Translation memory, terminology & review workflow
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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.
The Localization Manager
There is a translation memory reused across projects with TMX import, perfect-match review and relevance-scored suggestions applied before machine translation, a glossary, a four-stage workflow with review status filters, automated QA checks for placeholders, HTML, ICU syntax and length that can block publishing, an in-context editor, tasks, and language-level routing of critical languages to human reviewers. For a shop like mine the gaps hurt: we found no public information on ordering from translators or agencies inside the product, cost or progress reporting per vendor or language, managed style guides, or QA rules configurable per project. 13 14 5 3 11 6
The App Developer
Translation memory with 100% matches applied before any machine translation call, a glossary, four workflow stages with review and approval, QA checks for placeholders, HTML, ICU and length that can block publishing, tasks, snapshots and an in-context editor cover most of what my team would actually run on. I found no public information on ordering from translators or agencies inside the product, terminology-enforcing QA rules, or progress and cost reporting per language. 13 14 11
The In-House Document Translator
Translation memory is reused across projects with perfect-match filtering, TMX import and relevance-scored suggestions; texts move through four stages with review and approval, QA checks catch missing placeholders, broken HTML, ICU syntax and length errors and can block publishing, and no-code automations can route critical languages to human reviewers with tasks and access management. We found no public information on inviting or ordering external translators or agencies inside the product, on progress and cost reporting per language, or on an approval workflow for terminology. 2 5 11 13 14
The Data Protection Officer
Translation memory works across projects with perfect-match filtering, relevance-scored suggestions and TMX import, review runs through four stages with status filters, QA checks block publishing on placeholder, HTML, ICU and length errors, and an in-context editor, tasks, change history and rollback are documented. We found no public information on ordering translators or agencies inside the product, per-language role limits, or a named linguistic quality framework, so the review discipline is largely what we bring ourselves. 5 11 13 14
The E-Commerce Marketer
There is a genuine pipeline: strings move through four stages, automated QA catches missing placeholders, broken HTML, plural-form errors and length problems and can block publishing, and translation memory with automatic 100% matches, a glossary, task assignment, review-status filters and per-language routing between AI and human review are all documented. For fixing a bad product name by hand I can edit in context on my live site through the Chrome extension or in-context editor, with full change history and rollback. We found no public information on ordering human translators or agencies inside the product, or on progress and cost reporting per language. 13 14 5 11
The Skeptic
Translation memory suggests across projects with relevance scores and TMX upload, strings move through four stages with per-language routing to human reviewers, QA checks for placeholders, HTML, ICU and length can block publishing, and there are tasks, roles and an in-context editor on the live app. We found no public information on ordering human translators or agencies inside the product, cost reporting per language, or a termbase with approvals and forbidden terms. 14 13 5 11
Integrations, file formats & developer tools
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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.
The Localization Manager
The pipe work is genuinely good: thirty-plus file formats including XLIFF 1.2 and 2.0, Excel, Android and iOS variants; a CLI for Windows, macOS and Linux; CI recipes for GitHub Actions, GitLab, Bitbucket, Jenkins and more; a GitHub App that uploads on push and opens pull requests with translation updates; webhooks; Figma, Shopify, Webflow, Slack and Zapier connectors; VS Code, IntelliJ and browser extensions; an MCP server; over-the-air SDKs for Android, iOS and macOS; a service status page; and an OpenAPI spec. We found no public information on documented API limits or a connector framework third parties could build on. 15 16 18 6 2 5
The App Developer
As a developer this is the best fit I have seen: a native CLI for upload, auto-translate, download and publish, a GitHub App that opens pull requests with translation updates, over-the-air SDKs so a typo fix ships to iOS, Android and macOS without a store release, a versioned REST API with an OpenAPI spec, webhooks, and the exact formats I use — xcstrings, Xcode catalogs, Android XML, PO, XLIFF, Excel — plus Figma, Shopify, Webflow, VS Code, IntelliJ and a status page. I found no public information on documented API rate limits or per-connector limits and synced fields. 2 16 15
The In-House Document Translator
A documented REST API with an OpenAPI spec, a CLI native to Windows, macOS and Linux, a GitHub App that opens pull requests with translation updates, CI recipes for GitHub, GitLab, Bitbucket and more, webhooks, over-the-air SDKs for Android, iOS and macOS, and connectors for Figma, Shopify, Webflow, Slack, Zapier, VS Code, IntelliJ and Chrome, with formats spanning XLIFF, PO, Android and iOS strings, spreadsheets and JSON. We found no public information on documented API rate limits or on Git sync with branching. 2 5 6 15 16 17 18
The Data Protection Officer
A documented REST API with an OpenAPI specification, a zero-dependency CLI for Windows, macOS and Linux, Git sync through the GitHub App with pull requests on translation updates, CI across the main runners, and thirty-plus file formats including XLIFF, Android and iOS resources, Excel and CSV cover how content moves in and out. Connectors reach Figma, Shopify, Webflow, Slack and Teams, over-the-air SDKs serve Android, iOS and macOS, and webhooks and a service status page exist; we found no public information on documented API limits. 2 6 15 16
The E-Commerce Marketer
The Shopify connector is spelled out — translate products, collections and pages in my store — alongside Webflow, Figma, Zapier, Slack and Teams, and the homepage promises full international SEO support working with Shopify and headless CMS setups. Files cover JSON variants, XLIFF 1.2 and 2.0, Android and iOS strings, PO and Excel, moved by a native CLI on Windows, macOS and Linux, a documented REST API with an OpenAPI spec, a GitHub App that returns pull requests, webhooks, a public status page and over-the-air CDN delivery with SDKs for Android, iOS and macOS. We found no public information on documented API rate limits. 5 2 15 16 1
The Skeptic
A native zero-dependency CLI for Windows, macOS and Linux with CI recipes, a documented REST API with an OpenAPI spec and export endpoints, OTA delivery with SDKs for Android, iOS and macOS, a GitHub App that opens pull requests, webhooks, SCIM provisioning, and connectors for Figma, Shopify, Webflow, Slack and Zapier alongside VS Code, IntelliJ and browser plugins. The formats list covers XLIFF, PO, Android, Apple strings and spreadsheets. The gaps are modest: we found no public information on documented API rate limits, and WordPress and Contentful are not among the named connectors. 2 6 15 16 18
Confidentiality of translated content
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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.
The Localization Manager
Customer data sits exclusively in AWS EU regions and never leaves the EU unless the customer enables optional machine translation or AI; the AI providers are named in a subprocessor list and are opt-in; a public DPA is accepted by use; deletion happens within 30 days on active systems and 180 in backups; SSO with SCIM is on the Business tier and access to production is logged and audited. We found no public information on whether translated texts are used for model training, zero-retention terms with the LLM providers, or encryption at rest for live data; the ISO 27001 and SOC 2 certificates cited belong to the hosting infrastructure, with only SOC 2 readiness claimed for the vendor itself. 9 8 10 17 11
The App Developer
The subprocessor list names every engine the service can call and marks them optional and enabled only by the customer, a public data processing agreement is auto-accepted, data sits in AWS EU regions, deletion happens within 30 days of a request with export beforehand, and the hosting infrastructure is stated as compliant with ISO 27001 and SOC 2 Type II with SSO and role-based access on higher tiers. I found no public information on whether translated texts are used to train models, on zero-retention terms with the AI providers, or on encryption at rest beyond encrypted backups, and the company's own SOC 2 is described as readiness. 8 9 10 17
The In-House Document Translator
The data processing agreement is public and accepted by use, all customer data stays in the EU unless I switch on optional engines, the machine translation and LLM providers are named in the sub-processor list as opt-in, deletion runs within 30 days (180 for backups), transit is encrypted, backups are encrypted, and SSO with role-based access sits on the top plan. As the promise I need for draft contracts, we found no public information stating that translated texts are not used to train models, none on zero-retention terms with the LLM providers, and the ISO 27001 and SOC 2 statements cover the hosting infrastructure rather than the company. 8 9 10 11 17
The Data Protection Officer
The data processing agreement is public and unusually concrete — processor role, 48-hour breach notification, audit rights, DPIA assistance, NIST SP 800-88 deletion, MFA — and the AI providers are named as optional subprocessors used only when the customer enables them, with SSO over OpenID Connect or SAML on the Business plan and change history recording who edited what. What I could not find is a public statement that translated texts are not used to train the provider models, and zero-retention terms with the named LLM providers, so enabling OpenAI or Anthropic would require contractual confirmation before any member data flows. 8 9 10 11 17
The E-Commerce Marketer
The translation engines are named subprocessors that run only when I enable them, I can bring my own keys or local Ollama models so texts stay on my infrastructure, and a public data processing agreement is accepted by use with audit rights, 48-hour breach notification, SAML single sign-on on the Business plan and logged access to production. Retention is stated — removal within 30 days of a request and from backups within 180 — with encryption in transit and encrypted backups. We found no public information on whether my translated texts are used to train any models, on zero-retention terms with the AI providers, or on a dedicated or on-premise deployment; the vendor's own assurance is described as SOC 2 readiness, while the certifications quoted are the data centres' and hosting infrastructure's. 8 9 10 17 11
The Skeptic
The subprocessor list names every engine and marks them optional, deletion runs within 30 days from active systems and 180 from backups, access to production is logged and audited, SSO can be enforced on the Business plan, and local models via Ollama can keep text in-house. But I found no statement that customer translations are not used to train anyone's models, no zero-retention terms with the named LLM providers, no stated encryption at rest for live data, and the ISO 27001 and SOC 2 badges cited belong to AWS and the data centres while the vendor itself claims only SOC 2 readiness. 8 9 10 17 11
Data export, portability & self-hosting
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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.
The Localization Manager
Translations can be exported through the editor, CLI and API in many formats including XLIFF, JSON variants and Excel, translation memories can be imported from TMX, the customer is stated to own the data, and export is available before deletion on request. We found no public information on exporting the translation memory or glossary in TMX or TBX, exporting comments and history, a documented migration path from another TMS, or a self-hosted edition. 14 19 18 15 9
The App Developer
Export works from the editor, the CLI and the API into many formats including Excel and JSON, translation memory can be imported from TMX with language mapping, and data is exportable before deletion with removal within 30 days. But I found no public information on exporting the translation memory or glossary themselves in open formats like TMX or TBX, which is exactly what I would need to switch tools without hand-merging files again. 18 19 14 9
The In-House Document Translator
Translations export through the interface and API into open and common formats including XLIFF, CSV, Excel and JSON, a translation memory can be uploaded as TMX with language mapping, and the agreement promises export before deletion with removal within 30 days on request. We found no public information on exporting the translation memory or glossary themselves in TMX or TBX, on a documented migration path from another tool, or on a self-hosted edition. 9 14 15 18 19
The Data Protection Officer
The customer is stated to own all translation data, export works from the editor, CLI and API into formats including Excel and JSON, translation memory can be imported from TMX, and on request data is deleted from active systems within 30 days and backups within 180 days, with export available beforehand. We found no public information on exporting the translation memory itself as TMX or the glossary as TBX, on a documented migration path from another tool, or on a self-hosted edition, so the exit route runs through the API and spreadsheets. 9 14 18 19
The E-Commerce Marketer
Export runs from the editor, the API and the CLI into formats including Excel and JSON, with per-language, selected-languages and nested-key options, and translation memory imports from TMX; the agreement states I 100% own and control my translation data, I can export before deletion, and removal completes within 30 days of a request. We found no public information on exporting the translation memory or glossary back out as TMX or TBX, on a documented migration path from named competitors, or on a self-hosted edition. 18 19 14 9
The Skeptic
Exports run to XLIFF, Excel, CSV and JSON through the editor, API and CLI, translation memory can be uploaded as TMX, the API reads keys and translations, the agreement states you 100% own and control all of your translation data, and export is possible before the 30-day deletion. The exit test still worries me: the pages show uploading TMX but we found no public information on exporting translation memory or a glossary as TMX or TBX, on a migration path from named competitors, or on any self-hosted edition. 19 18 14 9 15
European sovereignty
panel opinion
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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.
The Localization Manager
The contracting entity is a Polish sole proprietorship in Wrocław with a registration number, hosting is exclusively AWS EU regions with encrypted backups in geographically redundant EU locations, the DPA is published, and a subprocessor list names the machine translation engines and AI providers with their purposes. Locations are stated only for AWS Ireland, Hetzner Germany and Sentry's EU region; we found no public information on the vendor's own ISO 27001 or SOC 2 certification, and no self-hosted edition, though the local-LLM option via Ollama keeps translation requests on the customer's own infrastructure. 7 8 9 10 12
The App Developer
The contracting entity is a Polish sole proprietorship in Wrocław, hosting is exclusively AWS EU regions with encrypted backups in geographically redundant EU locations, the data processing agreement is published, and a subprocessor list names the hosting, payment, support and translation providers including the AI engines. It stops short of full transparency: most subprocessors are listed without their locations, the CDN edge serving translations is described only as global, and the machine translation providers are non-EU when enabled — though local models via Ollama are offered so texts stay on your own infrastructure. 7 8 9
The In-House Document Translator
The contracting entity is a Polish sole proprietorship in Wrocław, data is hosted exclusively in AWS EU regions and never leaves the EU unless optional translation or AI providers are enabled, and a public data processing agreement lists the sub-processors with 14 days' notice of changes and a right to object, naming Amazon Ireland and Hetzner Germany for hosting. Most other sub-processors, including the translation engines and LLM providers, are listed without a stated location, and the certifications published are the hosting infrastructure's, which keeps this below the highest level. 7 8 9
The Data Protection Officer
The contracting entity is a Polish sole proprietorship with a Wrocław address and registration number, data is hosted exclusively in AWS EU regions with encrypted backups in geographically redundant EU locations, and the subprocessor list is public, including the optional translation and LLM providers, with 14 days' notice of changes and a right to object. The engine providers and the payment processor are listed without their locations, the EU-storage promise carves out the optional machine translation and AI features, and we found no stated transfer safeguard such as standard contractual clauses for that path. 7 8 9
The E-Commerce Marketer
The contracting entity is a Polish sole proprietorship in Wrocław, all customer data is hosted exclusively in AWS EU regions with encrypted backups in geographically redundant EU locations, and the pages state data never leaves the EU unless I switch on optional machine translation or AI features. A public data processing agreement is published with 14 days' notice on subprocessor changes, and the subprocessor list names the hosting, payment and AI providers — though only some, such as AWS Ireland, Hetzner Germany and Sentry's EU region, carry a stated location. Certifications are stated for the data centres and hosting infrastructure rather than an end-to-end European chain, since the optional AI providers are US services I would be choosing to enable. 7 8 9
The Skeptic
The contracting entity is a Polish sole proprietorship in Wrocław, data is stated as hosted exclusively in AWS EU regions with encrypted EU backups, the DPA is published and accepted by use, and the subprocessor list includes the translation engines. What holds it back from the top: only three subprocessors carry a location, names like DeepL, OpenAI, Anthropic and Cloudflare appear without one, and the certifications cited are the hosting infrastructure's rather than the processor's own. 7 8 9 10
Pricing transparency
Show reasoningHide reasoning
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.
The Localization Manager
All four tiers are public — Community at €0, Developer at €12, Team at €35 and Business at €99 per month billed yearly — with priced add-ons ("+500 translation keys €5.00", "+250k characters €12.00", "+25 team members €25.00"), per-plan auto-translation allowances with monthly growth and rollover, no per-user upcharge, bring-your-own-key with no extra fees, VAT deduction at checkout, and a permanent free tier. Full annual cost is still not computable from what we captured: we found no public information on the per-tier translation key limits, monthly billing, or any price for SSO beyond its tie to the Business plan, and enterprise customization is by contact only. 6 13 11 2 17
The App Developer
Tiers are public with exact prices — Community at €0 for ever, Developer at €12 / month billed yearly, Team at €35 / month billed yearly, Business at €99 / month billed yearly — auto-translation allowances per tier with monthly increases, priced add-ons (+500 translation keys €5.00, +250k characters €12.00, +25 team members €25.00), VAT deduction at checkout and no per-user upcharge. What I still could not compute is how many translation keys each tier includes and what happens when the Fair Use Policy kicks in at my volume. 6 13 11
The In-House Document Translator
Every tier is public — Community at €0, Developer at €12, Team at €35 and Business at €99 per month, each billed yearly — with translation-key packs at €5.00 per 500 keys, character packs at €12.00 per 250,000 characters and 25 extra team members at €25.00, users included without per-seat upcharge, monthly character quotas and rollover stated, and VAT deduction at checkout. What I could not compute from the pages: the translation-key allowance included in each tier (custom enterprise plans are on request), and the captured pages give different figures for which plan includes single sign-on. 6 11 13 17
The Data Protection Officer
All tiers are public — Community €0 for ever, Developer €12 / month, Team €35 / month, Business €99 / month, each billed yearly — with auto-translation quotas and monthly increases stated, add-ons priced (+250k characters €12.00, +500 translation keys €5.00, +25 team members €25.00), unused characters rolling over, own API keys carrying no extra fee even on the free plan, and VAT deducted at checkout. Enterprise custom plans are on request and we found no public figure for the translation keys included in each tier, so the annual cost at large volume is not fully computable from the pages we read. 1 6 11 13
The E-Commerce Marketer
Tiers are public — Community €0 for ever, Developer €12 / month billed yearly, Team €35 / month billed yearly, Business €99 / month billed yearly — with priced add-ons of +500 translation keys €5.00, +250k characters €12.00 and +25 team members €25.00, unused auto-translation characters rolling over, own API keys carrying no extra fee, VAT deducted at checkout with a VAT number, and every paid plan including users so the price does not increase with every teammate. We found no public information on the translation-key counts included in each tier, the free plan's limits, or monthly billing; single sign-on arrives on the Business plan and a DeepL glossary from the Team plan. 6 13 17
The Skeptic
Four tiers are public — Community at €0 for ever, Developer at €12 / month, Team at €35 / month, Business at €99 / month, all billed yearly — with monthly auto-translation allowances that grow, rollover, priced add-ons (+250k characters €12.00, +500 translation keys €5.00, +25 team members €25.00), VAT deduction at checkout and no per-seat upcharge. A buyer still cannot compute a year's cost from these pages alone: we found no public information on the per-plan translation-key limits that define the pricing model, on what happens when volume is exceeded beyond buying add-ons, and a Fair Use Policy governs all plans without its terms. 6 3 11 13
European sovereignty — proven facts
0 of 6 dimensions provenBuilt only from facts shown on the vendor's own pages. A dimension we could not prove is left open, not scored as zero.
| Legal entity | Not determined ⚠ unverified | — | uncited Report an error |
|---|---|---|---|
| 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 SimpleLocalize
Is SimpleLocalize European?
Yes. whats-best.ai classifies SimpleLocalize as EU-Made.
Where does SimpleLocalize store data?
Not stated on the vendor’s pages as of 1 Nov 2026.
Does SimpleLocalize have a free plan?
Yes. SimpleLocalize has a free plan, per the vendor’s page captured 1 Nov 2026.
What are the best alternatives to SimpleLocalize?
As of 2 Nov 2026, the panel rates LILT (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 Phrase Localization Platform (EU-Made). Ratings are the AI panel’s opinion, formed from public evidence: how scores are made. The full list, with European products first: SimpleLocalize alternatives.
Where this could be wrong
- Evidence ages. The oldest capture behind this page is from 1 Nov 2026. Vendors change pricing and policies without notice; every fact reflects its source as of the capture date shown in the registry.
- Weak sourcing — Hosting location, Legal entity, Data processing agreement. Not confirmed on the vendor’s own pages as captured.
- AI can misread a source. Extraction and judgement are automated; a citation guarantees traceability, not infallibility. If something here is wrong, say so — no account needed, every report is decided within 5 business days, and accepted corrections are published.
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.
- 54 product facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 9 legal facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 7 compliance facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 4 integrations facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 3 support facts could not be confirmed on the vendor’s page as captured and were left out of this page and of the panel’s material. Know more? Tell us
- 1 hosting fact could not be confirmed on the vendor’s page as captured and was left out of this page and of the panel’s material. Know more? Tell us
- 3 sovereignty dimensions could not be confirmed on the vendor’s own pages and are shown as unknown. Know more? Tell us
Sources (20)
The pages every claim on this page was read from — each one checked, dated, and kept verifiable.
- 1 Vendor homepage simplelocalize.io Checked 1 Nov 2026 Details →
- 2 Features page (for developers) simplelocalize.io Checked 1 Nov 2026 Details →
- 3 Documentation (auto-translation) simplelocalize.io Checked 1 Nov 2026 Details →
- 4 Integrations page simplelocalize.io Checked 1 Nov 2026 Details →
- 5 API documentation simplelocalize.io Checked 1 Nov 2026 Details →
- 6 Pricing page simplelocalize.io Checked 1 Nov 2026 Details →
- 7 Legal notice simplelocalize.io Checked 1 Nov 2026 Details →
- 8 Privacy policy simplelocalize.io Checked 1 Nov 2026 Details →
- 9 Data processing agreement (dpa) simplelocalize.io Checked 1 Nov 2026 Details →
- 10 Security / trust page simplelocalize.io Checked 1 Nov 2026 Details →
- 11 Machine translation & AI quality — found from sitemap simplelocalize.io Checked 1 Nov 2026 Details →
- 12 Machine translation & AI quality — found from sitemap simplelocalize.io Checked 1 Nov 2026 Details →
- 13 Translation memory, terminology & review workflow — found from sitemap simplelocalize.io Checked 1 Nov 2026 Details →
- 14 Translation memory, terminology & review workflow — found from sitemap simplelocalize.io Checked 1 Nov 2026 Details →
- 15 Integrations, file formats & developer tools — found from sitemap simplelocalize.io Checked 1 Nov 2026 Details →
- 16 Integrations, file formats & developer tools — found from sitemap simplelocalize.io Checked 1 Nov 2026 Details →
- 17 Confidentiality of translated content — found from sitemap simplelocalize.io Checked 1 Nov 2026 Details →
- 18 Data export, portability & self-hosting — found from sitemap simplelocalize.io Checked 1 Nov 2026 Details →
- 19 Data export, portability & self-hosting — found from sitemap simplelocalize.io Checked 1 Nov 2026 Details →
- 20 Code repository (open-source licence) — found from the homepage github.com Checked 1 Nov 2026 Details →