DocForged

Overview

DocForged provides a high-precision bridge between static document formats and structured machine-readable data. By integrating these utilities into your MCP-enabled agent, you can programmatically process complex PDFs, extract tabular data, and generate professional documents without manual intervention.

Key Capabilities

• pdf_to_markdown: Converts text-based PDFs into structured markdown, automatically mapping font sizes to headers and preserving document hierarchy.
• ocr_image: Performs character recognition on image files across 100+ languages, returning high-fidelity text with associated confidence scores.
• extract_tables: Detects columnar structures in PDFs and outputs them as both clean markdown and CSV formats for immediate data analysis.
• parse_invoice: Automates financial data entry by extracting vendor details, line items, and totals into structured JSON.
• render_pdf: Converts markdown or HTML content into formatted A4 PDFs, returning the file as base64 for direct export or download.

Use Cases

• Automating expense reporting by using parse_invoice to pull data from receipt images and saving the results into a centralized database.
• Converting legacy project documentation PDFs into markdown files using pdf_to_markdown to facilitate easier ingestion into LLM context windows.
• Extracting financial performance data from quarterly report PDFs via extract_tables for direct import into spreadsheet software or data visualization tools.
• Generating customized client summary reports on-the-fly by piping agent output through render_pdf to create professional, printable files.

Who This Is For

DocForged is designed for software developers, data engineers, and AI architects building autonomous agents that interact with real-world document ecosystems. It assumes a technical user comfortable with JSON payloads and document processing workflows, providing the precise tools necessary to handle unstructured data at scale.