$ loading_
Extract structured JSON tables from PDF URLs with reliable source citations.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.mehtaphysical13/pdf-tables-mcp" MCP server from askskill: Run: claude mcp add --transport http 'io-github-mehtaphysical13-pdf-tables-mcp' 'https://pdf-tables-mcp.vercel.app/api/mcp'
Extract all tables from this PDF URL, return structured JSON, and keep page numbers or source citations for each table: https://example.com/annual-report.pdf
A JSON result with multiple tables, including row-column data and page-level citation details.
Read this paper's PDF URL, extract all experiment-result tables, output them as JSON grouped by table title, and include source citation locations.
Structured JSON organized by table title, ready for analysis and easy source verification.
Extract schedules and fee tables from the following contract PDF URL, return clean JSON arrays, and annotate the page number for each item.
Normalized table JSON that can be directly imported into systems or used in automation workflows.
Convert PDFs into clean, LLM-ready Markdown with tables, formulas, and OCR.
Read PDFs with citeable page and bounding-box evidence for precise answers.
Extract source-backed JSON from PDFs or URLs with signed verification receipts.
Extract text, images, and tables from PDFs with multilingual analysis.
Convert PDFs into citeable structured content for parsing, extraction, Q&A, and rendering.
Analyze local paper PDFs rigorously and generate editable maps and research insights.