Technology
Apply right-to-left layout rules to technology product, operational and customer content for Israel.
AI translation by language
Hebrew AI translation with QA and LQA
Translate for Israel with surrounding content, audience instructions, approved terminology, market rules and previous decisions. Start with the base model, improve human translation, or adapt a regional variant, then check and approve everything in one workflow.
he-IL
Hebrew
- Primary market
- Israel
- Language family
- Semitic
- Writing system
- Hebrew (RTL)
Base model starting point
What the base model gives before your context is added
This Hebrew example is the base model output produced through our refined translation harness. It is the starting point before we add your context and rules. LanguageOps can research the market, use your previously approved translations and content, read document-level and neighbouring-segment context, apply terminology, style and QA rules, then use LQA to identify what should improve. The next example adds industry and market context to make the task more specific.
English source
For the Hebrew market, the technology team must keep product code LO-2048, the 48-hour delivery promise and the two-year warranty unchanged.
Base model output
בשוק הישראלי, על צוות הטכנולוגיה להשאיר ללא שינוי את קוד המוצר LO-2048, את ההתחייבות לאספקה בתוך 48 שעות ואת האחריות לשנתיים.
Deterministic QA
QA passed: product code LO-2048 and the 48-hour promise were preserved.
Linguistic quality review
The translation accurately preserves the code, delivery commitment and warranty, using appropriate formal Hebrew.
Market-specific example
Technology content with its industry context attached
The project can attach the relevant audience, content type, terminology and market rules before generation. This second example uses a commercial sector associated with Israel.
English source
For Israel, a release preserves {user_name}, keyboard shortcuts and approved feature names.
Hebrew output
עבור ישראל, מהדורה משמרת את {user_name}, קיצורי המקשים ושמות התכונות המאושרים.
Language and culture
Useful facts for planning Hebrew content
Modern Hebrew has roughly 9 million speakers, principally in Israel.
Hebrew has an ancient written record and was revived as an everyday spoken language in the nineteenth and twentieth centuries.
Modern usage varies by community, register and contact with Arabic, Russian, English and other languages.
Speaker totals are rounded because counts vary by census, proficiency threshold and whether second-language users are included.
Where context matters
Hebrew is more than a language code
Right to left layout
Gender
Mixed hebrew and latin text
The base model can receive the target audience, market, neighbouring segments, terminology, style guide, research, reference material and previous approved translations instead of working from an isolated sentence.
Commercial use
Priority content for Israel
Cybersecurity
Apply gender rules to cybersecurity product, operational and customer content for Israel.
Medical Devices
Apply mixed Hebrew and Latin text rules to medical devices product, operational and customer content for Israel.
Not only AI translation
Check and improve human Hebrew translation too
Import existing work
Bring translation from an internal team, agency, freelancer, legacy TMS or bilingual file. LanguageOps does not require the first draft to have been generated in the platform.
Run QA and LQA
Check tags, numbers, placeholders, terminology and consistency, then assess accuracy, completeness, fluency and style against the source and brief.
Edit and approve
Correct the text with the base model, a linguist or both; record comments and revisions; and approve final wording for reuse in memory and terminology.
Monolingual localisation
Edit Hebrew into the variant the market expects
Adapt spelling, vocabulary, tone, dates, currency and local terminology without translating from scratch. Relevant variants include Hebrew (Israel).
Explore language-variant editingInside LanguageOps
See file-level QA and LQA
Open a focused list of deterministic QA and linguistic quality issues, jump to the affected segment and keep quality evidence connected to the work.
Automation without losing control
Manage a single file or an international content operation
Automate preparation, translation, checks, assignments, review and delivery while keeping the project, language assets and decisions visible.
Projects at any scale
Templates, parallel language jobs, reusable memories, terminology, workflow stages, progress and approvals remove repetitive project administration.
MCP for agent users
LanguageOps MCP will let compatible agents prepare work, run approved translation and quality workflows, monitor progress and return results from the tools where teams already work.
CLI for developers
Use the LanguageOps CLI for local files, scripts, repeatable bulk jobs and CI/CD. API-led teams can connect repositories and content systems to the same controlled workflow.
Humans stay in the loop
Assign linguists, reviewers and subject experts where the content requires them, with comments, edit history, QA/LQA evidence and final approval in one place.
See it on your content
Run the workflow with your languages, files and quality rules
Bring one representative file or a complete multilingual programme. LanguageOps keeps translation, human editing, QA, LQA, approvals and delivery in one scalable workflow.