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

Enables AI assistants and applications to perform optical character recognition (OCR) from images via stdin/stdout streams or REST API endpoints.

Provides image recognition capabilities using Anthropic Claude Vision and OpenAI GPT-4 Vision APIs, supporting multiple image formats and offering optional text extraction via Tesseract OCR.

Provides 14+ character-level text analysis tools that give LLMs the ability to accurately count letters, analyze individual characters, and work with text at the character level—overcoming tokenization limitations.

Enables OCR-based text, table, handwriting, and formula recognition from images via MCP, supporting local files and URLs for integration with AI assistants.

Converts screenshots of web pages into structured Markdown using GLM-OCR (Zhipu), with tools for OCR on images, webpages, and health checks.

Enables integration between MCP clients and the Handwriting OCR service, allowing users to upload images and PDF documents, check processing status, and retrieve OCR results as Markdown.

Enables image analysis and recognition through multiple LLM vision models (Gemini, GPT-4o, Qwen-VL, Doubao) by accepting image URLs or Base64 data and returning text descriptions or answers to questions about the images.

Enables AI assistants to analyze and describe images from URLs using OpenAI's vision models through the Model Context Protocol.

Enables OCR of scanned PDFs and images, returning searchable PDFs, Markdown, and JSON with block coordinates, with optional proofreading to correct OCR errors. Supports uploads via web console, public URL, or one-time token, and exposes tools for job status, page text, document listing, and deletion.

Enables MCP clients like Claude Code to extract text from images, screenshots, and scanned documents via PaddleOCR PP-OCRv6.

Enables document OCR processing via OcrPlane APIs, supporting document parsing, asynchronous polling, markdown extraction, and task management.

Provides OCR (Optical Character Recognition) capabilities through MCP, including text extraction and document layout parsing to Markdown. Supports multiple PaddleOCR models like PP-OCRv5, PP-OCRv6, and PP-StructureV3.

An HTTP MCP server that receives a file and a JSON schema, extracts text via local OCR, and fills the JSON values, with optional LLM fallback for unresolved fields.

Provides tools for image, audio, and video recognition using Google's Gemini AI through the Model Context Protocol.

Enables deterministic reconstruction of complex tables from OCR bounding boxes, including multi-column layouts, merged headers, grid hierarchies, formula auditing, and PII redaction through MCP.

Enables deterministic reconstruction of complex tables from OCR bounding-box payloads, recovering multi-column layouts, merged headers, and grid hierarchies. It also supports formula consistency auditing and sensitive PII redaction for document processing pipelines.

Provides read-only access to download and OCR 'Light' utility bills from the official source, enabling document retrieval and text extraction via natural language. It is a hosted MCP server with prepaid credits and works with any MCP client.

Read-only MCP server to consult Neoenergia (Elektro) energy bills via official source with OCR, pay-per-query.

Read-only MCP server for downloading and OCR-processing CPFL electricity bills from official sources, supporting any MCP client with prepaid per-query credits.

MCP server for downloading and extracting text via OCR from Enel São Paulo electricity bills. Read-only with magic-link authentication and pre-paid credit usage.