"A tool for converting images to text" matching MCP servers:

Provides text translation capabilities using the Niutrans API, supporting 455+ languages with code/alias mapping through a language catalog resource.

Provides text translation capabilities powered by NiuTrans API with support for 455+ languages. Includes translation tools and language catalog resources for seamless integration with MCP clients.

Counts characters and words in both Japanese and English text files, with special handling for Japanese morphological analysis and proper character counting excluding spaces and line breaks.

Translates Japanese text into English using the Textra API service, enabling LLMs with limited Japanese understanding to process Japanese instructions.

Provides comprehensive text analysis capabilities including character counting, word statistics, character type analysis, and text length validation for Korean and English text. Supports AI agents in analyzing and validating text content with detailed statistics and Unicode support.

An MCP server that enables users to add translation keys to Lokalise projects using natural language through Cursor or standalone interfaces. It allows for the specification of project names, translation keys, default values, and target platforms.

Lets AI agents read and write the Calibre Ebook Translator plugin's translation cache chunk by chunk, enabling direct book translation workflows without manual copy-paste.

Enables recognizing and converting between keyboard layouts (QWERTY, ЙЦУКЕН, QWERTZ, AZERTY), auto-correcting text typed in the wrong layout, and predictive T9 input from numeric sequences.

Enables MCP-compatible AI agents to translate Turkish text into Göktürkçe (Orhun) script, decode and etymologically analyze Göktürkçe Unicode text, verify Göktürkçe in images via OCR, and render stylized Göktürkçe images and videos with effects like 3D parallax.

Enables AI assistants to edit text inside real PDF files in place while preserving fonts and layout, with a before/after preview. Also supports compressing, merging, splitting, converting, translating, generating and querying PDFs through a hosted remote MCP endpoint.

Automates manga translation by detecting text regions with YOLO, performing OCR, invoking a multimodal LLM with full-page context for translation, and rendering translated text back onto the original images.

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.

A local-first multilingual dictionary, thesaurus, translation, lexical-relations, semantic-neighbour, and English wordplay server for the Model Context Protocol (MCP). It operates fully offline with read-only query access and no data mutation while running.

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

Translation quality evaluation MCP Server powered by xCOMET. Provides quality scoring (0-1), error detection with severity levels, and optimized batch processing for AI-assisted translation workflows.

Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs.

English-first Korean equity intelligence MCP — translates Korean DART filings, foreign-holder 5%-rule flows (BlackRock / Vanguard / Norges / GIC plus 16 more), activist filings (KCGI / Align / ValueAct / Elliott), and KRX industry news to English on demand. 7 MCP tools, OSS self-host under AGPL-3.0.

Integrates the levelang.app translation API with AI assistants to provide translations constrained to specific learner proficiency levels. It supports multiple languages and allows users to control translation styles and moods while dynamically discovering available language configurations.

Enables fetching YouTube video transcripts from any URL without API keys, browser, or OAuth, with honest error reporting for missing transcripts and support for multiple languages, formats, and resilient provider fallbacks.