Meet LangSync — the developer-first alternative to Phrase Strings
Pay-as-you-go from the first thousand strings, AI translation guided by your own prompts, and a bidirectional CLI sync — without per-seat caps, annual contracts, or a sales call to upgrade.
First 1,000 strings free No per-seat charges No annual commit, no sales call
At a glance
LangSync Phrase Strings
Pricing model
Pay-as-you-go per 1,000 strings
Annual/quarterly tiers, per-seat capped
Self-serve checkout for every plan
No per-seat charges
Inference-only AI
Per-developer source language override
Verified June 2, 2026 against Phrase Strings's public product and pricing pages. Spot an inaccuracy? Email [email protected] — we'll update within two business days.
Side by side
LangSync vs Phrase Strings, feature by feature
Compiled from the public Phrase pricing page, product pages, security/privacy policies, developer docs, support KB, and the open-source Phrase OpenAPI spec, as of mid-2026. Phrase moves features between bundles regularly — verify on phrase.com before signing a contract.
| Section | Feature | LangSync | Phrase Strings |
|---|---|---|---|
| Pricing model | Billing shape | Pay-as-you-go — billed per 1,000 translated strings stored, price drops at higher volumes. No plan tiers, no monthly commit. | Plan tiers metered by managed words (Strings) plus separate MTU (machine-translation units) and AIU (AI units) budgets. Annual or quarterly billing — no self-serve monthly billing on the published pricing page. |
| Entry price | Free for the first 1,000 strings, no credit card. | No permanent free tier. A 14-day free trial is available across all plans. Entry "Software UI/UX" plan is $525/month (billed annually) for 15 Strings seats, 5 projects, 1M managed words. | |
| Seats / users | No per-seat charges. Unlimited collaborators on every plan. | Strings seats are capped per tier (15 / 20 / 150) and sold as add-ons above the cap. | |
| Sales call to upgrade | No. Self-serve checkout for every plan. | Business and Enterprise tiers require a sales call. No self-serve checkout button on the primary pricing page — purchase routes to sales. | |
| Translation engine | AI translation | Built on a modern LLM with your custom prompt per namespace — tone, audience, formality, product rules — fed into every call alongside the glossary. | Phrase Next GenMT combines GPT-4o with Phrase NextMT, with RAG over translation memory (few-shot prompting from TM fuzzy matches), multi-segment context, MT glossary, and tag handling. Phrase Custom AI fine-tunes NMT for brand voice on high-volume use cases. |
| Custom prompt per namespace | Yes — written in plain language, set per namespace or per user, managed via the dashboard or API. | No raw prompt field. Tone of voice is governed by structured Style Guides that the AI and human translators both consume, plus TM-based few-shot prompting. | |
| Machine translation engines | LLM-first. No legacy MT routing. | 30+ MT engines including Google Translate, DeepL, Amazon Translate, Microsoft Translator (DeepL not available in the US data center). Billed via MTU budget; BYOE (bring-your-own engine) supported. | |
| Glossary / term base | First-class. Per-language target translations plus optional notes. AI sees the glossary on every translation. | Term Bases with CSV import. Used by human translators and fed into MT as MT Glossaries. | |
| Translation memory | Not a separate concept — past translations stay in the project and inform AI completions. | Separate from glossary. Project-level TM plus an organization-wide TM used as fallback. Powers Next GenMT RAG. TMX import is not supported in Phrase Strings (the separate TMS product does); TMX export works but no dedicated TM export endpoint exists in the Strings OpenAPI spec. | |
| Source language flexibility | Per-developer override — a Czech dev can keep cs.json as source while the team-wide default stays en-US. See the workflow. | Project has a single fixed source locale. Translators can override the displayed source per task in the editor, but the canonical project source stays one locale. | |
| Developer workflow | First-party CLI | norcube langsync init + norcube langsync sync — one binary for the whole Norcube platform, bidirectional sync (no push/pull split), resumable across crashes. See the CLI page. | phrase-cli (Go) — brew install phrase-cli, Docker image, or pre-built binaries. phrase push / phrase pull are separate commands; no bidirectional sync. Config in .phrase.yml. |
| Official SDKs | REST API; CLI covers most repo-side workflows. | Go, Java, Ruby, Python, PHP, TypeScript/JS — auto-generated from the public OpenAPI 3.0.3 spec for Phrase Strings at github.com/phrase/openapi. Plus an IntelliJ plugin (phrase-intellij) and an MCP server (phrase-mcp-server, TypeScript). | |
| OTA (over-the-air) mobile updates | Not supported — LangSync is build-time only. | Phrase OTA ships translation updates to live iOS, Android, Flutter, React Native, web (via i18next-phrase-backend), and Rails (via phrase-ota-i18n) apps without an App Store / Play Store re-release. Billed by MAU (monthly-active-users) quota. | |
| REST API | Yes — built for build-pipeline pulls. | Yes — full CRUD over keys, translations, locales, jobs, comments, branches, releases, distributions, screenshots, members, webhooks. | |
| File formats & integrations | Native file formats | i18n JSON is first-class. CSV, JSON, XLSX accepted for one-shot import. | 30+ formats including .strings, .xcstrings, .stringsdict, Android strings.xml, Flutter .arb, .json (i18next / simple / nested / go-i18n / chrome), .yml (Rails / Symfony), .po, .properties, .resx, .xliff 1.2/2.0, .tmx, .xlsx, .csv, .xml, .html, .md, Qt Linguist .ts, and more. |
| Native dashboard integrations | GitHub via the CLI; webhooks for arbitrary CI. | Native GitHub, GitLab, Bitbucket, Figma, Figma Buzz, Sketch, Slack, Zendesk, Salesforce Service Cloud, Braze, WordPress, Contentful, Contentstack, Sitecore, Drupal, Storyblok, Google Drive, Jira, Asana, plus a GitHub Actions integration. | |
| Webhooks | Yes — for CI pulls and arbitrary downstream automation. | First-class. Create / list / test / redeliver via API and dashboard. Event types cover translations, jobs, keys, locales, releases, comments. | |
| Team & translation | Professional translator marketplace | Not built in. The AI is the primary translator; humans review and edit. | In-product ordering of professional translations from pre-integrated LSP partners, with most translations delivered within ~24 hours. Price is quoted upfront. Ordering is permission-gated (Admin / Project Manager only). |
| Crowdsourcing / public projects | Not supported. Org-scoped namespaces only. | Not a first-class feature in Strings. Translator access is invite-based with per-language scoping. | |
| Team model | Organization → namespace → user. Per-user prompts and tokens. | Account → Projects → Jobs hierarchy with role-based access (configurable on Enterprise). | |
| QA / linting | Placeholder validation on the CLI side; AI is constrained by glossary on every call. | Customizable QA checks (placeholders, terminology), in-context editing, Figma visual previews, configurable review/approval workflows. | |
| Security, hosting, data | Hosting region | EU only (AWS Frankfurt). GDPR-aligned by default, no choice needed. See /security/ and /dpa/. | Per the Phrase Terms, customers may choose the region during online registration "from the options made available by Phrase" — but Phrase Group sub-processors can still process content outside the preferred location, with sub-processor entities in EEA, USA, UK, Serbia, Lithuania, and Japan. |
| DPA | Published, self-serve download. | DPA is embedded as Annex 1 of the Terms of Service, not a standalone download. | |
| Compliance certifications | GDPR-aligned, EU-resident. SOC 2 / ISO in progress as Norcube scales. | ISO 27001 (Phrase a.s., 2025), SOC 2 Type I (Type II expected 2026), HIPAA verified via CyberGRX third-party assessment. | |
| AI training on your content | Your strings are never used to train models. AI calls are inference-only. | Phrase's privacy policy explicitly states: "We also use the content (which may contain personal data) uploaded by our users and clients to enhance and maintain Phrase products" including "machine learning, where we train our models on uploaded data." Used to train MT-routing, QE scoring, and customer-specific models. LLM sub-processors include Anthropic Ireland and OpenAI Ireland. | |
| SSO (SAML / OIDC) | Not yet — on the roadmap. | Available on the Team tier ($1,245/month) and above. Software UI/UX (the entry plan) does not include SSO. | |
| Audit log | API-accessible. | Per Phrase security page, audit logs are "available to Phrase engineers and can be provided upon request" — i.e. internal-only, retrieved via support ticket, not a self-serve admin feature. | |
| Migration & lock-in | Importing into the other | Built-in POEditor importer today. Migration from Phrase is a CLI script: pull every locale, transform, push to LangSync — we have a reference implementation in docs. | No one-click importer for POEditor, Crowdin, Lokalise, Transifex, or LangSync. Migration is file-based only — export from source, upload via Phrase CLI or Uploads API. |
| Translation history export | Current value of every translation via REST API. Audit log (namespace, sync-job, glossary, API key actions) accessible via API. Per-translation revision history is not yet captured — on the roadmap. | Full per-translation revision history via API (/translations/{id}/versions) with author, timestamps, and content diffs. Requires the History feature on the plan. | |
| Translation memory export | No separate TM — translations exit as i18n JSON via the REST API. | TMX export is dashboard-only in Phrase Strings (no API endpoint in the Strings OpenAPI spec). Per-project / per-locale export through the UI. | |
| API token scopes | Org-scoped API tokens; per-action access gated by user IAM policies, not by a token-level scope. | Bearer tokens with a fixed scope set (including team.manage and other action-level scopes). No per-project or per-resource scoping — tokens are org-wide. The newer "Platform API Access Token" is a parent token that mints short-lived per-product JWTs via OAuth. |
Verified June 2, 2026 against Phrase Strings's public product and pricing pages. Spot an inaccuracy? Email [email protected] — we'll update within two business days.
Phrase Strings facts verified against phrase.com/pricing, phrase.com/strings, phrase.com/security, phrase.com/privacy, support.phrase.com KB, developers.phrase.com, and the public github.com/phrase/openapi spec. If you find a row that is wrong, email [email protected].
Be honest about it
When Phrase Strings is the right call
We are biased about LangSync, but Phrase is the heavyweight in this category and earns its price in several real scenarios. If any of these describe your team, do not switch.
Stay with Phrase
You ship live mobile translation updates
Phrase OTA pushes translation updates to live iOS, Android, Flutter, and React Native apps without an App Store or Play Store re-release — billed by monthly active users. LangSync is build-time only; if you rely on OTA delivery for a high-traffic mobile app, Phrase wins outright.
Stay with Phrase
Your stack ships 5+ legacy file formats
If your codebase rotates through .po, .xliff, .resx, .strings, .xcstrings, .arb, Qt .ts, .properties, and a couple of vendor-specific YAML dialects, Phrase has 30+ native formats with continuous round-trip sync. LangSync focuses on i18n JSON; importing other formats works once, but native polyglot sync is Phrase territory.
Stay with Phrase
You order professional translations in-product
Phrase's in-dashboard translator marketplace is vendor-neutral, pre-integrated with LSP partners, and shares infrastructure with Phrase TMS. One-click ordering, ~24h turnaround, price quoted upfront. LangSync uses AI as the primary translator with human review on top; if a paid-translator workflow inside the dashboard is non-negotiable, Phrase fits.
Stay with Phrase
You need deep CMS / design-tool integrations
Native Figma, WordPress, Contentful, Contentstack, Sitecore, Drupal, Storyblok, Salesforce, Braze, and Zendesk integrations are first-class in Phrase. LangSync stays in the JSON-and-CI lane on purpose; if your localisation flow is anchored in a CMS or design tool, the connector economics favour Phrase.
Stay with Phrase
You need an enterprise compliance dossier today
ISO 27001, SOC 2 Type I (Type II in 2026), HIPAA third-party assessment, and named LLM sub-processors are all on Phrase's public trust page. Norcube is GDPR-aligned and EU-resident by default, but if your procurement team needs SOC 2 Type II or ISO 27001 on the contract today, Phrase is further along.
Stay with Phrase
You also run a translation agency workflow
Phrase Strings and Phrase TMS share an account; if your team also manages document/agency translation projects (Memsource-style), the unified bundle removes vendor sprawl. LangSync deliberately scopes to software UI strings.
FAQ
Questions teams ask
How much will I actually save switching from Phrase to LangSync?
It depends on your seat count and word volume, but the big lever is per-seat caps: Phrase's entry plan ($525/mo billed annually) gives you 15 Strings seats; LangSync charges nothing for seats and bills only the strings you store. A 6-person team on Phrase's Software UI/UX plan with ~50k strings is roughly $6,300/year before MTU/AIU overage; the same workload on LangSync is in the low-thousands at current pay-as-you-go rates with no annual commit.
Is LangSync's AI as good as Phrase Next GenMT?
Different shape. Phrase Next GenMT is GPT-4o + Phrase NextMT with RAG over your translation memory, formality control, and locale variants — a sophisticated, multi-component pipeline. LangSync runs a modern LLM with your custom prompt per namespace and your glossary fed into every call. For software UI strings with tone/voice rules and a maintained glossary, LangSync output is usually on the style guide; if your edge cases need TM-RAG to enforce phrase-level consistency across a million words, Phrase is more powerful out of the box.
Does Phrase really train its models on my strings?
Per the Phrase privacy policy (verified June 2026): "We also use the content (which may contain personal data) uploaded by our users and clients to enhance and maintain Phrase products" including "machine learning, where we train our models on uploaded data." That covers MT-routing, QE scoring, and customer-specific models. LangSync never trains on your content — AI calls are inference-only. If your strings contain product names, brand voice, or anything you would not hand to a vendor for model training, this is a real difference.
How long does migrating from Phrase take?
Plan one to three days, depending on locale count and project structure. Phrase has no built-in LangSync importer; you pull every locale via the API (or
phrase pull), transform format if needed, and push into a LangSync namespace via the CLI. Translation memory and revision history do not move across cleanly — Phrase's TMX export is dashboard-only in Strings, and revisions live behind the History feature.Do I lose translation history when I migrate?
The current value of every translation comes across. Per-translation revision history, term base entries, and translation memory do not move automatically — Phrase Strings exposes revisions via API but TMX export is dashboard-only, and there is no LangSync-side import for either. If audit trail or TM continuity matters, keep Phrase read-only for 60 days after migration as a fallback.
What if I want to switch back to Phrase?
LangSync exports every namespace as standard i18n JSON via the REST API; Phrase Strings imports JSON natively. The data is yours either way. No lock-in on the source-string side; AI prompt customisations are the only LangSync-specific artefact.
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