liteparse

name	liteparse
description	Provides fast document to markdown extraction. Use this skill when the user asks to parse, perform multi-format document conversion or spatially extract text from an unstructured file (PDF, DOCX, PPTX, XLSX, images, etc.) locally.

LiteParse Skill

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

Step 0 - Use via npx, or install LiteParse

NOTE: Rather than installing liteparse globally, you can instead run it directly with npx, substituting lit <args> with npx -y @llamaindex/liteparse <args> in the commands below.

npx -y @llamaindex/liteparse

Otherwise if installing globally, use pnpm install -g @llamaindex/liteparse and then run lit <args>.

---

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.