"Optical Character Recognition (OCR) Technology" matching MCP servers:

Accurately counts Japanese text characters using grapheme clusters, properly handling surrogate pairs and combining characters through the Intl.Segmenter API.

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.

Provides AI models with tools to proofread and format Chinese text before delivery, covering typos, punctuation, casing, spacing, and platform-specific character limits. It runs as a zero-dependency MCP service so the model checks and fixes its own Chinese writing automatically.

Enables OCR of local images through a public endpoint and writes the extracted text to a specified file, optimized for Tibetan, Sanskrit, and Devanagari input with optional transliteration.

MCP server for Cantonese lyric writing, offering Jyutping romanization, tonal pattern analysis, and rhyming character lookup.

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.

Enables AI agents to identify what language text is written in, returning top matches, confidence scores, script detection, and character statistics via a pay-per-call x402 API without requiring an API key.

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 agents to trigger document scanning, OCR, PDF merging, translation, and format conversion through remote MCP tool calls.

Provides multilingual text translation capabilities using Baidu Translate API with support for language detection and advanced features like context filling and zero-width character obfuscation for testing agent robustness.

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 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.