Check if the Brickognize image recognition API is online and responsive before attempting LEGO identification tasks.
MIT
675,397 tools. Updated 2026-10-19 05:13
"A server for image recognition and OCR" matching MCP tools:
- Analyze an image URL with Google Lens to find visual matches, detect objects, extract text via OCR, and identify exact product matches.MIT
- Extract text from local image files using OCR. Converts image-based content into structured JSON and a text summary for downstream processing.MIT
- Upload an image of a PCB or component to detect barcodes, extract text via OCR, and identify electronic parts.Apache 2.0
- Capture desktop, window, or region screenshots. Select detail level: metadata for window positions, UI elements for interactive controls, or OCR for text recognition.MIT
- Convert PDFs, Office documents, HTML, and images to Markdown, with OCR and optional VLM image descriptions.MIT
Matching MCP Servers
- FlicenseNot gradedqualityCmaintenanceAn MCP server that provides local image recognition on macOS, including OCR, image classification, comprehensive image analysis, and screenshot recognition, all via Apple's Vision framework without any network requests.1-
- AlicenseAqualityDmaintenanceProvides 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.340MIT
Matching MCP Connectors
Image URL → plain text OCR for bots. Free try then prepaid TEST. https://ocr.kymac.co
OCR text from images and scanned PDFs; pay-per-event via your Apify account.
- Retrieve OCR text from a Joplin image or scanned PDF without downloading the attachment. Use when you need the text content of a resource after OCR has finished processing.MIT
- Capture screenshots and extract text with OCR in one step, returning both the image and text with word coordinates for Hyprland desktop automation.MIT
- Extract visual and textual context from video, audio, or image files locally—frames, transcripts, OCR, and scene changes—for AI analysis.Apache 2.0
- Check what the Immich server supports first—OCR, smart search, facial recognition, and version-specific quirks—so you only offer features that will work.MIT
- Check which OCR engines are available on your machine before selecting an engine for text recognition.MIT
- Navigate to a URL and extract page content as DOM elements and OCR text, defaulting to zero image tokens to reduce costs. Optionally capture a visual screenshot.MIT
- Extract text from images (JPEG/PNG) or single-page PDFs using Yandex Vision OCR. Supports printed, handwritten, table, and markdown models with language selection.MIT
- Extract visible text from local images using OCR. Ideal for code screenshots, terminal output, and error dialogs.Apache 2.0
- Resolve local or OpenCode image paths, analyze via multiple vision APIs and OCR, and return JSON context for non-vision models.MIT
- Retrieve the reference crop image for a face or vehicle recognition group as base64-encoded JPEG data.MIT
- Extract text from PDF documents (single or multi-page) using Yandex Vision OCR with asynchronous recognition. Supports models for page, table, handwritten, and markdown output.MIT
- Classify each PDF page as text, scanned, mixed, or blank using the text layer and image geometry, to identify which pages require OCR.MIT
- Check OCR processing status, fetch recognized document lines, and view remaining OCR quota.MIT
- Extract and process images from file paths for visual content analysis, OCR text extraction, and object recognition. Supports screenshots, photos, diagrams, and documents in PNG, JPG, GIF, and WebP formats.MIT
- Re-queue a document for OCR processing when initial OCR failed or the document was updated.MIT