Supported source formats
Markdown, HTML, CSV, JSON, .po
Preserves markup and placeholders during translation
AI Writing Assistant Tool
Context-aware English↔Spanish interpreter for content and support
Translate and adapt messages, UI text, help articles, and marketing copy between English and Spanish with project glossaries, preserved formatting, and variant-aware tone controls (Spain vs Latin America). Use interpreter mode to produce ready-to-publish outputs for CMS, ticketing systems, and chat integrations.
Target audiences
Support teams, localizers, product writers, marketers
Templates for replies, UI strings, headlines, and social copy
Problem solved
Why use an interpreter mode for EN↔ES localization
Literal machine translations often break brand voice, drop formatting, or introduce inconsistent terminology. Interpreter mode combines context-aware prompts with stored glossaries and formatting rules so your translated outputs retain tone, structure, and ready-to-publish layout.
- Tone preservation across support replies and marketing copy
- Consistent terminology enforced via project glossaries
- Outputs remain safe to import back into CMS, help centers, or ticketing systems
Features
Core capabilities
Designed for teams that need reliable, editable bilingual output rather than raw machine translation. Key capabilities focus on context, format preservation, and editorial workflows.
Context-aware prompts
Prompts include surrounding conversation, product notes, and role instructions so translations preserve intent and the requested tone.
- Support-ticket context and product metadata included
- Role instructions: empathetic agent, legal translator, casual social writer
Project glossaries & terminology
Store and apply approved translations for product names, features, and brand terms.
- Exact-term substitution and suggested alternates
- Glossary export and import in CSV/JSON
Formatting & code safety
Retain markup, inline code, placeholders, and truncation flags for UI strings and mobile constraints.
- Preserves <code>, markdown, and JSON placeholders
- Flags long strings that may require truncation in UI
Human-in-the-loop workflows
Built-in guidance for editors and QA: review lanes, change tracking, and bilingual QA checklists.
- Produce a short QA report: tone drift, glossary mismatches, missing content
- Export-ready edits for CMS or ticketing upload
Ready prompts
Prompt clusters you can copy
Examples tailored to common tasks. Each prompt includes context fields to paste the source text, glossary entries, and style notes.
Support ticket reply (EN→ES)
You are a bilingual support agent. Read the customer message and the product notes. Write a concise, empathetic Spanish reply (neutral Latin American Spanish) that addresses the issue, includes the suggested next step, and preserves quoted text and any code snippets.
- Input fields: customer_message, product_notes, suggested_next_step
- Output: ready-to-send Spanish reply; preserve quoted strings and code blocks
Marketing headline adaptation
Translate and adapt the headline for Spanish-speaking audiences. Keep character economy, local idiom, and call-to-action tone. Provide two variants: neutral ES-ES and Latin American casual.
- Include short tagline and CTA for each variant
- Flag suggested character counts for X / social platforms
UX string localization
Given the source UI string and context (button, tooltip, error), translate into Spanish preserving placeholders and markup. Flag strings that may require truncation for mobile.
- Input: source_string, context, max_length
- Output: translated_string, truncation_flag, notes
Glossary enforcement
Translate the input text into Spanish using this glossary (term: translation). Substitute glossary terms exactly and list any suggested alternates with justification.
- Output highlights used glossary terms and any conflicts
- Include suggested alternates and rationale for ambiguous terms
File & content ecosystem
Supported sources and exports
Import content from common authoring and support systems, apply interpreter prompts and glossaries, and export back in formats for engineering or CMS ingestion.
- Accepts support transcripts and ticketing exports (CSV, JSON)
- Handles marketing copy and help articles (Markdown, HTML)
- Preserves product UI strings and resource files (.json, .po, .xliff)
- Glossaries and editorial notes imported/exported as CSV or JSON
How teams use it
Deployment & editorial workflow
A practical workflow to produce high-quality bilingual content with minimal friction between writers, translators, and engineers.
- 1) Import source files or paste content; attach project glossary and tone notes
- 2) Run interpreter prompt tailored to the content type (support, UI, marketing)
- 3) Review with bilingual QA checklist; apply edits and accept glossary suggestions
- 4) Export ready-to-publish assets for CMS, help center, or ticketing system
FAQ
How accurate are automated Spanish translations and when should editors review?
Automated outputs are context-aware but not a substitute for human review on high-risk content. Review critical legal text, pricing displays, UI strings that must fit a layout, and marketing claims. Use the built-in bilingual QA checklist to flag tone drift, missing content, glossary mismatches, and formatting issues before publishing.
How do you enforce a project glossary and consistent terminology?
Upload a CSV or JSON glossary with source terms and approved Spanish equivalents. Interpreter mode substitutes glossary entries exactly and reports conflicts or ambiguous cases. Editors receive a list of applied glossary terms plus suggested alternates for review.
Which Spanish variant should I choose (Spain vs Latin America) and how does that affect tone?
Choose the variant that matches your target audience. ES-ES typically uses formal pronouns and region-specific idioms for Spain, while Latin American Spanish often prefers neutral vocabulary and more casual phrasing for consumer-facing messages. Interpreter prompts let you request 'neutral ES-ES' or 'casual Latin American' and produce separate variants for A/B review.
How is original formatting, markup, and placeholder text preserved during translation?
Interpreter prompts treat markup and placeholders as protected tokens. Inputs that include HTML, Markdown, JSON keys, or inline code are preserved in-place; translations modify only translatable text. The system also flags strings with placeholders that may affect grammar or word order so editors can verify correctness.
What is the recommended human-in-the-loop review workflow for critical content?
Run the interpreter translation, then use the bilingual QA checklist to compare source and target for missing content, tone drift, and glossary adherence. Have a bilingual editor verify legal or high-impact text, approve glossary substitutions, and run a final functional check for UI truncation or broken markup before deployment.
What input sources and file formats are supported for importing and exporting translated content?
Commonly supported formats include Markdown and HTML for articles, CSV/JSON for ticket exports and glossaries, and resource files such as .json and .po for UI strings. Exports preserve the original file structure so outputs can be re-ingested into CMS, help centers, or engineering pipelines.
Related pages
- PricingExplore plans and interpreter usage tiers.
- Compare localization toolsSee how interpreter mode fits into localization workflows.
- BlogRead articles on multilingual support and localization best practices.
- IndustriesHow bilingual workflows apply to support, marketing, and product teams.