Skill: adelpro/odl-pdf-parser (version 1.0.0)

--- name: pdf-to-markdown description: Convert any PDF to Markdown, JSON, and HTML using OpenDataLoader. Supports digital PDFs, scanned PDFs with OCR, and complex layouts with table extraction and reading-order detection. Use when a user shares a PDF and wants it parsed into readable text, structured data, or searchable content. metadata: { "openclaw": { "emoji": "📄", "homepage": "https://clawhub.com" } } --- # pdf-to-markdown Convert any PDF to **Markdown**, **JSON**, or **HTML** using OpenDataLoader PDF — the #1 ranked open-source PDF parser. ## Features - **Markdown** — clean readable text with correct reading order - **JSON** — structured data with bounding boxes, font sizes, page numbers - **HTML** — rich HTML output preserving layout - **OCR** — built-in OCR for scanned PDFs (80+ languages) - **Tables** — complex table extraction (0.93 accuracy) - **Reading order** — XY-Cut++ algorithm for multi-column layouts - **No API key** — fully self-hosted, open-source ## Requirements ### Java 11+ (symlink setup) OpenDataLoader requires Java. After installing, create a symlink so Python subprocesses can find it: ```bash # Find your Java install ls ~/jdk-*/bin/java 2>/dev/null || ls /opt/jdk*/bin/java 2>/dev/null # Create symlink ln -sf /path/to/java/bin/java ~/.local/bin/java ``` ### Python 3.10+ ```bash pip install opendataloader-pdf ``` Or use the auto-install script (handles Java + Python automatically): ```bash curl -fsSL https://raw.githubusercontent.com/opendataloader-project/opendataloader-pdf/main/scripts/install.sh | bash ``` ## Usage ### CLI ```bash # Basic — markdown + json output pdf2md document.pdf ./output # HTML + JSON output pdf2md document.pdf ./output html,json # Markdown only pdf2md document.pdf ./output markdown ``` ### Python ```python import opendataloader_pdf opendataloader_pdf.convert( input_path="document.pdf", output_dir="./output", format="markdown,json" ) ``` ### Supported Input Formats | Type | Example | OCR Needed | |------|---------|------------| | Digital PDF | Text-based PDFs | No | | Scanned PDF | Image-only scans | Yes (built-in) | | Tagged PDF | Accessibility PDFs | No | | Multi-column | Academic papers | No | | Tables | Data reports | No | ## Output Formats ### Markdown Clean text with heading hierarchy, bullet lists, and paragraph structure. ### JSON ```json { "file name": "document.pdf", "number of pages": 5, "author": "Author Name", "kids": [ { "type": "heading", "level": "Doctitle", "page number": 1, "bounding box": [100.0, 744.5, 404.0, 773.1], "font": "Helvetica-Bold", "font size": 24.0, "content": "Document Title" }, { "type": "paragraph", "page number": 1, "bounding box": [100.0, 676.8, 316.3, 713.0], "font": "Helvetica", "font size": 14.0, "content": "Paragraph text..." } ] } ``` ## Installation ### OpenClaw Skill Install ```bash clawhub install pdf-to-markdown ``` ### Manual Install ```bash # Install dependencies pip install opendataloader-pdf # Make script executable chmod +x scripts/pdf2md ``` ## Architecture ``` PDF Input │ ▼ OpenDataLoader PDF (JVM) │ ├── PDFBox ──► Text extraction + layout analysis ├── veraPDF ──► PDF validation + structure └── Tesseract ──► OCR (scanned PDFs) │ ▼ Output: Markdown / JSON / HTML ``` ## Benchmark | Metric | Score | |--------|-------| | Overall extraction accuracy | 0.90 | | Table extraction accuracy | 0.93 | | Processing speed (local) | 0.05s/page | *Benchmarks on 200 real-world PDFs including multi-column and scientific papers.* ## Common Use Cases - **RAG pipelines** — convert PDFs to chunkable markdown - **Document parsing** — extract text from research papers - **Accessibility** — convert PDFs to structured data - **Data extraction** — pull tables from reports - **Content migration** — PDF to markdown for wikis/docs ## See Also - [OpenDataLoader PDF](https://github.com/opendataloader-project/opendataloader-pdf) — upstream project - [PDF/UA](https://pdfa.org) — PDF accessibility standard - [veraPDF](https://verapdf.org) — PDF/A validator


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: suspicious | SkillSpector: clean (LOW)