Renders any URL in a real browser, returning markdown, screenshots, PDFs, or structured data in one call. Ideal for summarizing or extracting content from live web pages.
MIT
466,711 tools. Updated 2026-08-20 03:00
"Tools and Methods for Extracting Data from PDFs and Images" matching MCP tools:
- View file attachments from Todoist comments by providing the fileUrl. Supports images, text, and PDFs, returning them inline or as embedded resources.MIT
- Scrape JavaScript-rendered pages for SEO audit signals: title, meta tags, headings, Open Graph, structured data, canonical, images, and issues. Waits for JS execution before extracting content.MIT
- Upload files to RSpace documents and attach them as proper file attachments in one step. Supports all file types including images, PDFs, and data files.AGPL 3.0
- Display image attachments as viewable images when local file access is unavailable. Inspect photos and scans directly; for text and PDFs, use read_attachment.Apache 2.0
- Write email attachments to disk and return the saved file paths. Handles images, scanned PDFs, and other non-text content. Files self-delete after a short time by default.Apache 2.0
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- Retrieve your past render results including images, PDFs, and screenshots. Filter by template or batch, and paginate to navigate through results.Apache 2.0
- Extract figures, tables, and equations from PDF documents using layout detection. Returns base64-encoded images of detected elements with metadata from academic papers or any PDF URL.Apache 2.0
- Extract generation parameters including prompts, settings, and LoRA combinations from top images of a Civitai model to replicate successful results.MIT
- Convert PDFs and scanned images into JSON representation, preserving text, fonts, images, vectors, and formatting.MIT
- Extracts numerical data from line and scatter plot images. Converts visual series into precise data points for further analysis.MIT
- Convert PDFs and scanned images to XML for structured data extraction, with OCR support and options for pages, regions, and line grouping.MIT
- Combine files from multiple URLs—PDFs, Word docs, Excel sheets, images, and ZIP archives—into one unified PDF.MIT
- Extract structured content and layout from PDFs, images, and Office files. Supports output formats like HTML, text, and markdown.MIT
- Extract structured content from PDFs, images, and Office files while preserving original formatting and layout using Upstage AI's document digitization API.MIT
- Extract text from local images and PDFs with Apple Vision OCR, returning plain text or structured blocks with bounding boxes. Works offline on macOS.MIT
- Extract text, faces, barcodes, and rectangles from images and PDFs in reading order for document reconstruction. Works fully offline with no API keys.MIT
- Upload local media files for server-side extraction and analysis, handling large PDFs, videos, audio, and complex formats beyond client capabilities.AGPL 3.0
- Read the full content of a Bear note by ID or title. Includes text extracted from images and PDFs with clear labeling.Apache 2.0
- Retrieve all resources attached to a note, including OCR text from images and PDFs, to reveal content inside attachments.MIT