Retrieve a curated list of featured AI workflows for generating images, text, and other content.
MIT
180,147 tools. Last updated 2026-06-04 11:33
"Tools for Reading Text from PDFs and Images" matching MCP tools:
- Add text annotations, images, and fill form fields in PDF and scanned PDF files. Update PDFs with comments, logos, or completed forms.MIT
- Convert PDFs and scanned images to JSON while preserving text, fonts, images, vectors, and formatting using the /pdf/convert/to/json2 endpoint.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 PDFs with Y-coordinate reading order. Handle multi-column layouts and compact whitespace for Japanese forms to reduce token consumption.MIT
- Extract text from USPTO petition documents using hybrid extraction: free PyPDF2 for text-based PDFs, Mistral OCR for scanned documents. Analyze legal arguments, issues, and patterns in petition decisions.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceA 4-stage reading companion that helps users set reading goals, discover books, track progress, and deepen learning through reflection, integrated with Claude Desktop.Last updated1MIT
- Flicense-qualityCmaintenanceEnables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.Last updated1
Matching MCP Connectors
9 utility tools for agents: DNS, WHOIS, email, IP, URL, headers, QR, text, tech. x402 on Base.
Latin American data validation tools for AI agents. Validates Brazilian CPF, CNPJ and PIX keys, Mexican RFC, Chilean RUT, and provides public holidays for Brazil, Mexico and Chile.
- Compare two PDFs page by page to detect text differences. Reports identical pages and trimmed diffs for same-layout documents.MIT
- 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
- Converts PDF to reading-order Markdown for LLM consumption. Reconstructs up to 2 content columns, infers headings from font size, detects lists; tables rendered as plain text.MIT
- Retrieve all resources attached to a note, including OCR text from images and PDFs, to reveal content inside attachments.MIT
- Retrieve Spec3 racing documents with full text and visual content like diagrams and tables from PDFs stored in S3. Specify page ranges and include images to preserve formatting.MIT
- Download a Drive file and return its extracted text, supporting Google Workspace formats, Office docs, PDFs, and images.MIT
- Extract raw text content from PDFs, web pages, pasted text, or YouTube transcripts for content export without AI processing.MIT
- Search for specific text within wiki-hosted files (PDFs, text files) and retrieve matching lines or page numbers.
- Download a file from Google Drive by providing its file ID. Returns binary content for PDFs, images, and other files.MIT
- Extract text from PDFs and images as structured Markdown. Handles complex layouts, tables, handwriting, and math notation. Pay per page with Bitcoin Lightning.MIT
- Retrieve raw text content from PDFs, web pages, pasted text, or YouTube transcripts for content export without AI processing.MIT
- Extract raw text content from PDFs, web pages, pasted text, or YouTube transcripts for content export without AI processing.MIT
- Generate images from text prompts. Optionally use reference images for character or style consistency.MIT
- Extract text content from PDF documents via URL using PyMuPDF. Handles multi-page PDFs and returns extracted text, page count, and metadata with automatic USDC micropayments.MIT