OpenDataLoaderOpenDataLoader PDF
PDF to Markdown & JSON for RAG — Fast, Local, No GPU Required
OpenDataLoader PDF converts PDFs into LLM-ready Markdown and JSON with accurate reading order, table extraction, and bounding boxes — all running locally on your machine.
Why developers choose OpenDataLoader:
- Deterministic — Same input always produces same output (no LLM hallucinations)
- Fast — Process 60+ pages per second on CPU (100+ with batch parallelism)
- Private — 100% local, zero data transmission
- Accurate — Bounding boxes for every element, correct multi-column reading order
Quick Start
Why OpenDataLoader?
Building RAG pipelines? You've probably hit these problems:
| Problem | How We Solve It |
|---|---|
| Multi-column text reads incorrectly | XY-Cut++ algorithm preserves correct reading order |
| Tables lose structure | Border + cluster detection keeps rows/columns intact |
| Headers/footers pollute context | Auto-filtered before output |
| No coordinates for citations | Bounding box for every element |
| Cloud APIs = privacy concerns | 100% local, no data leaves your machine |
| GPU required | Pure CPU, rule-based — runs anywhere |
Learn more about RAG integration →
Key Features
For RAG & LLM Pipelines
- Structured Output — JSON with semantic types (heading, paragraph, table, list, caption)
- Bounding Boxes — Every element includes coordinates for citations
- Reading Order — XY-Cut++ algorithm handles multi-column layouts correctly
- Noise Filtering — Headers, footers, hidden text, watermarks auto-removed
- LangChain Integration — Official document loader
Performance & Privacy
- No GPU — Fast, rule-based heuristics
- Local-First — Your documents never leave your machine
- High Throughput — Process thousands of PDFs efficiently
- Multi-Language SDK — Python, Node.js, Java
Document Understanding
- Tables — Detects borders, handles merged cells
- Lists — Numbered, bulleted, nested
- Headings — Auto-detects hierarchy levels
- Images — Extracts with captions linked
- Tagged PDF Support — Uses native PDF structure when available
- AI Safety — Auto-filters prompt injection content
Annotated PDF Visualization
See detected structures overlaid on the original document for debugging and validation.
Explore the sample PDFs to see it in action.
Benchmarks
We continuously benchmark against real-world documents to ensure high quality and efficiency.