"Extracting Orders from PDF Files" matching MCP servers:

An intelligent PDF translation assistant specializing in academic papers with mathematical formulas, enabling context-aware translation with layout preservation.

Local MCP server for Claude Desktop that translates PDF files using a pipeline of extraction, parallel API translation, checking, and applying.

Provides structured translation guidance for converting English PDFs to Korean, preserving document structure. It works as a custom connector for Claude, supplying rules and workflows for translating papers, manuals, and more.

MCP server that provides grounded Arabic dictionary lookup, enabling AI agents to search word roots, inflections, and meanings from real dictionary data.

AI localization from your editor — translate an app's string files into 46 languages with placeholder-safe, reproducible output. Eleven formats (JSON, .arb, .po, .strings, Android XML and more), and every translation is read back and checked before it lands.

MCP server for translating PDFs using pdf2zh-next, preserving document context by extracting all text segments for LLM translation at once.

Delegates mechanical text-to-text tasks to a local LLM to save Claude subscription quota, reading files server-side so large content never enters Claude's context.

Enables agents to speak Thai and English audio through local speakers, manage a playback queue, save speech to files, translate text into Thai, and OCR PDFs and images.

MCP server for managing i18n translation files — gives your AI agent full control over your app's translations without dumping entire locale files into context.

Enables law firms and legal professionals to turn Arabic and English contract files into structured, citable context, with clause segmentation, date conversion across Hijri and Gregorian calendars, party extraction, and anchor-based verification, all without API keys or network calls.

Translation QA for i18n locale files. Deterministic validators — missing keys, placeholder drift, collapsed plurals, glossary breaches — that need no API key, plus a review tool that hands translation pairs and judging criteria back to the calling agent, so meaning-level review runs on the model your client already has. Translation with your own LLM key is optional. JSON, Flutter .arb, Apple .

Enables translation of Excel files using Claude AI while preserving formatting, formulas, and data integrity.

An MCP server that translates scientific PDF documents while preserving original formulas, charts, and layout. It utilizes an OpenAI-compatible backend to provide tools for document translation and language listing.

A Docker-based MCP server wrapping the Smartling CLI, enabling natural language management of translation projects, files, and glossaries.

MCP server for HumanPen that lets AI agents work on real documents (.docx, .pptx, .pdf) — humanizing content to lower AI-detection scores, converting citations, condensing, and translating while preserving formatting, tables, images, and citations.

Delegates replaceable grunt work (boilerplate, formatting, translation, long-document summarizing) from a premium agent to cheap models behind a local LiteLLM proxy, auto-routing each task by type. Delegated calls run in a separate process, so the subscription session and the API credentials never share an environment.

AI-powered localization platform. Translate text, search translation memory, and access style guides from any MCP-compatible AI tool.

An MCP server for managing Rails-style localization files (YAML/JSON), enabling coding agents to read, search, write, and audit translations without hand-editing files.

Assists MDN Japanese translation tasks by automating file copying from English content, synchronizing source commits, and performing guideline-based reviews.

An MCP server that automatically translates Android app string resources to multiple languages by detecting changes in default strings.xml files using Git diff. It supports batch translation, preserves formatting placeholders, and works with multiple Android modules.