Convert local files using 35+ tools like PDF to Word, merge PDFs, or URL to PDF. Saves output alongside input or in a specified directory.
MIT
306,570 tools. Last updated 2026-07-25 13:38
"A tool for extracting text from PDF files" matching MCP tools:
- Extract text from files attached to monday.com board items for reading, summarizing, or analyzing content.MIT
- Fetch a PDF from a URL and extract its text content. Returns clean plain text, handling compressed and encrypted PDFs.MIT
- Read raw source documents with automatic text extraction for PDF, DOCX, XLSX, PPTX, and plain text. Paginate by pages, sheet, or line offset.MIT
- Add LPM packages to your project by extracting source files for customization. Use for UI components, blocks, templates, and MCP servers.ISC
- 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
Matching MCP Servers
- Alicense-qualityDmaintenanceConverts PDF files to text for use with MCP-compatible applications like Cursor IDE.Last updatedMIT
- FlicenseBqualityDmaintenanceA lightweight MCP server for basic file operations, enabling reading, writing, and listing files securely via the Model Context Protocol.Last updated31
Matching MCP Connectors
Send transactional pdfs for AI agents via SMTP. Templates included.
Generate PDFs from Markdown or HTML. Zero-auth, agent-native. Returns base64-encoded PDF.
- Add text annotations, images, and fill form fields in PDF and scanned PDF files. Update PDFs with comments, logos, or completed forms.MIT
- Extract all text content from a PDF. Input the PDF as a base64-encoded string and receive the extracted text.MIT
- Search for text in PDF files and retrieve its exact coordinates. Supports regular expressions for advanced pattern matching.MIT
- Extract text from an Office document by providing its document ID; the tool converts the document from PDF format.MIT
- Convert scanned PDFs and images into text-searchable documents by running OCR and adding an invisible text layer for full text search.MIT
- Remove the text layer from a PDF to make it non-searchable, preventing text extraction and search functionality.MIT
- Extract attached files from a PDF document. Specify the source PDF URL to retrieve all embedded attachments.MIT
- Ingest a document file locally by extracting its text and storing it as a recallable entity in memory. Supports plaintext, markdown, and structured text; DOCX and PDF require a specific build.MIT
- Extract embedded text from PDF documents directly from their content bytes, bypassing the need for text extract annotations. Returns page-separated text for documents without existing extraction metadata.Apache 2.0
- Extract text from files in a directory or single file. Supports text, PDF, DOCX, XLSX, PPTX, audio, video, and images. Optionally generate AI summary of combined content.MIT
- Extract text from PDF pages by specifying a file path and optional page range to retrieve content for analysis or processing.MIT
- Extract text content from specific pages of PDF files using local paths or URLs, with built-in caching for efficient document processing.MIT
- Read text and document files (PDF, DOCX, PPTX, XLSX, ODT, ODP, ODS) with flexible modes: full file, first N lines, last N lines, or a specific line range. Extracts PDF content with format metadata.MIT
- Export a PDF to JSON, HTML, text, or annotated-PDF format. Provide a public PDF URL and select the desired output.MIT