Yggopendataloader-project/opendataloader-pdf
↗ GitHubPDF Parser for AI-ready data. Automate PDF accessibility. Open-source.
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Safety Rating A
No hardcoded secrets, malicious code patterns, suspicious dependencies, or prompt injection attempts were detected in the repository content. The README is a straightforward technical document describing the library's features and usage. Notably, the project explicitly advertises built-in prompt injection protection for PDFs processed through it, which is consistent with a security-conscious open-source tool. No red flags were identified.
ℹAI-assisted review, not a professional security audit.
AI Analysis
OpenDataLoader PDF is an open-source Java-based PDF parser designed to produce AI-ready structured data from PDF documents. It extracts text, tables, headings, images, formulas, and other elements into Markdown, JSON (with bounding boxes), and HTML formats. It features deterministic local processing, an optional AI hybrid mode for complex documents, built-in OCR support for scanned PDFs, prompt injection protection, and LangChain integration. The project also targets PDF accessibility automation, aiming to auto-generate Tagged PDFs (PDF/UA compliant) for accessibility regulation compliance, with Python, Node.js, and Java SDKs available.
Use Cases
- Parsing PDFs into structured Markdown or JSON for RAG and LLM pipelines
- Extracting tables with bounding boxes from complex or borderless PDF tables
- OCR processing of scanned or image-based PDFs in 80+ languages
- Generating source citations in RAG systems using per-element bounding boxes
- Automating PDF accessibility compliance by converting untagged PDFs to Tagged PDFs / PDF/UA
- Integrating with LangChain as a document loader for AI applications
- Filtering prompt injection attacks embedded in PDF content before LLM processing
Tags
Project Connections
MemoryOS
→OpenDataLoader PDF can serve as a document ingestion layer that feeds structured Markdown/JSON content into MemoryOS's RAG and long-term memory pipelines, enabling AI agents to reason over PDF-sourced knowledge.
agentfield
→AgentField's distributed memory and vector search capabilities can consume structured PDF output from OpenDataLoader as part of an AI agent's knowledge retrieval workflow.
Decepticon
→Decepticon's LangChain-based agent framework could use OpenDataLoader's official LangChain integration to ingest PDF reports or documentation as context for agent tasks.
ClawWork
→ClawWork's professional task evaluation agents could leverage OpenDataLoader PDF to parse PDF-based task specifications or reference documents for grounding agent responses.
guardian-cli
→Guardian CLI could use OpenDataLoader to parse PDF-format security reports or compliance documents as structured input for its AI-powered analysis workflows.