kendreaditya/liteparse

LiteParse Skill

Parse unstructured documents (PDF, DOCX, PPTX, XLSX, images, and more) locally with LiteParse: fast, lightweight, no cloud dependencies or LLM required.

Initial Setup

When this skill is invoked, respond with:

I'm ready to use LiteParse to parse files locally. Before we begin, please confirm that:

- `@llamaindex/liteparse` is installed globally (`npm i -g @llamaindex/liteparse`)
- The `lit` CLI command is available in your terminal

If both are set, please provide:

1. One or more files to parse (PDF, DOCX, PPTX, XLSX, images, etc.)
2. Any specific options: output format (json/text), page ranges, OCR preferences, DPI, etc.
3. What you'd like to do with the parsed content.

I will produce the appropriate `lit` CLI command or TypeScript script, and once approved, report the results.

Then wait for the user's input.

---

Step 0 — Install LiteParse (if needed)

If liteparse is not yet installed, install it globally:

npm i -g @llamaindex/liteparse

Verify installation:

lit --version

For Office document support (DOCX, PPTX, XLSX), LibreOffice is required:

# macOS
brew install --cask libreoffice

# Ubuntu/Debian
apt-get install libreoffice

For image parsing, ImageMagick is required:

# macOS
brew install imagemagick

# Ubuntu/Debian
apt-get install imagemagick

---

Step 1 — Produce the CLI Command or Script

Parse a Single File

# Basic text extraction
lit parse document.pdf

# JSON output saved to a file
lit parse document.pdf --format json -o output.json

# Specific page range
lit parse document.pdf --target-pages "1-5,10,15-20"

# Disable OCR (faster, text-only PDFs)
lit parse document.pdf --no-ocr

# Use an external HTTP OCR server for higher accuracy
lit parse document.pdf --ocr-server-url http://localhost:8828/ocr

# Higher DPI for better quality
lit parse document.pdf --dpi 300

Batch Parse a Directory

lit batch-parse ./input-directory ./output-directory

# Only process PDFs, recursively
lit batch-parse ./input ./output --extension .pdf --recursive

Generate Page Screenshots

Screenshots are useful for LLM agents that need to see visual layout.

# All pages
lit screenshot document.pdf -o ./screenshots

# Specific pages
lit screenshot document.pdf --pages "1,3,5" -o ./screenshots

# High-DPI PNG
lit screenshot document.pdf --dpi 300 --format png -o ./screenshots

# Page range
lit screenshot document.pdf --pages "1-10" -o ./screenshots

---

Step 3 — Key Options Reference

OCR Options

| Option | Description | |--------|-------------| | (default) | Tesseract.js — zero setup, built-in | | --ocr-language fra | Set OCR language (ISO code) | | --ocr-server-url <url> | Use external HTTP OCR server (EasyOCR, PaddleOCR, custom) | | --no-ocr | Disable OCR entirely |

Output Options

| Option | Description | |--------|-------------| | --format json | Structured JSON with bounding boxes | | --format text | Plain text (default) | | -o <file> | Save output to file |

Performance / Quality Options

| Option | Description | |--------|-------------| | --dpi <n> | Rendering DPI (default: 150; use 300 for high quality) | | --max-pages <n> | Limit pages parsed | | --target-pages <pages> | Parse specific pages (e.g. "1-5,10") | | --no-precise-bbox | Disable precise bounding boxes (faster) | | --skip-diagonal-text | Ignore rotated/diagonal text | | --preserve-small-text | Keep very small text that would otherwise be dropped |

---

Step 4 — Using a Config File

For repeated use with consistent options, generate a liteparse.config.json:

{
  "ocrLanguage": "en",
  "ocrEnabled": true,
  "maxPages": 1000,
  "dpi": 150,
  "outputFormat": "json",
  "preciseBoundingBox": true,
  "skipDiagonalText": false,
  "preserveVerySmallText": false
}

For an HTTP OCR server:

{
  "ocrServerUrl": "http://localhost:8828/ocr",
  "ocrLanguage": "en",
  "outputFormat": "json"
}

Use with:

lit parse document.pdf --config liteparse.config.json

---

Step 5 — HTTP OCR Server API (Advanced)

If the user wants to plug in a custom OCR backend, the server must implement:

• Endpoint: POST /ocr
• Accepts: file (multipart) and language (string) parameters
• Returns:

{
  "results": [
    { "text": "Hello", "bbox": [x1, y1, x2, y2], "confidence": 0.98 }
  ]
}

Ready-to-use wrappers exist for EasyOCR and PaddleOCR in the LiteParse repo.

---

Supported Input Formats

| Category | Formats | |----------|---------| | PDF | .pdf | | Word | .doc, .docx, .docm, .odt, .rtf | | PowerPoint | .ppt, .pptx, .pptm, .odp | | Spreadsheets | .xls, .xlsx, .xlsm, .ods, .csv, .tsv | | Images | .jpg, .jpeg, .png, .gif, .bmp, .tiff, .webp, .svg |

Office documents require LibreOffice; images require ImageMagick. LiteParse auto-converts these formats to PDF before parsing.