run-llama/liteparse

• highreadme#1

  Reposition README H1 to clarify core purpose and counter miscategorization

  Why:

  CURRENT

  LiteParse is a standalone OSS PDF parsing tool focused exclusively on **fast and light** parsing. It provides high-quality spatial text parsing with bounding boxes, without proprietary LLM features or cloud dependencies. Everything runs locally on your machine.

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  LiteParse is a standalone, open-source **document and PDF parsing tool** designed for **fast, local, and light-weight text extraction with spatial bounding boxes**. It is *not* an LLM output parser, but rather a robust solution for processing various document types directly on your machine, without proprietary LLM features or cloud dependencies.

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• mediumtopics#2

  Add more specific topics related to OCR and spatial data

  Why:

  CURRENT

  document-ocr, document-processing, ocr, ocr-recognition, pdf, pdf-parser, text-extraction

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  document-ocr, document-processing, ocr, ocr-recognition, pdf, pdf-parser, text-extraction, spatial-data, bounding-boxes, local-ocr, pdf-text-extraction

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• lowreadme#3

  Add a "What LiteParse Is (and Isn't)" section to the README

  Why:

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  ## What LiteParse Is (and Isn't)
  
  LiteParse is a dedicated tool for local document and PDF parsing, focusing on fast text extraction, OCR integration, and spatial data (bounding boxes). It is *not* designed for parsing or validating JSON output from Large Language Models. If you are looking for an LLM output parser, consider other specialized libraries. LiteParse's strength lies in its ability to process diverse document types locally, providing structured text and image data for further analysis or ingestion into various systems, including LLM pipelines.

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  What are good open-source libraries for fast, local PDF text extraction with spatial data?

  you: not recommended
  AI recommended (in order):

  1. pdfminer.six
  2. Apache PDFBox
  3. Poppler
  4. PyMuPDF
  5. pdf.js

  AI recommended 5 alternatives but never named run-llama/liteparse. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Looking for a document parser that supports OCR and provides text bounding box information.

  you: not recommended
  AI recommended (in order):

  1. Google Cloud Document AI
  2. Amazon Textract
  3. Microsoft Azure Form Recognizer
  4. Tesseract OCR
  5. PyTesseract
  6. ABBYY FineReader Engine SDK
  7. PaddleOCR

  AI recommended 7 alternatives but never named run-llama/liteparse. This is the gap to close.

  Show full AI answer

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of run-llama/liteparse?

  pass
  ✓AI named run-llama/liteparse explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts run-llama/liteparse in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named run-llama/liteparse explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo run-llama/liteparse solve, and who is the primary audience?

  pass
  ✓AI named run-llama/liteparse explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?