quickstart.md

Quickstart

Parse your first document in under 5 minutes.

1. Install

pip install longparser

2. Parse a PDF

from longparser import DocumentPipeline, ProcessingConfig

# Create pipeline with defaults
pipeline = DocumentPipeline(ProcessingConfig())

# Parse a PDF
result = pipeline.process_file("research_paper.pdf")

print(f"Pages: {result.document.metadata.total_pages}")
print(f"Chunks: {len(result.chunks)}")
print(result.chunks[0].text)

3. Inspect Chunks

for chunk in doc.chunks[:3]:
    print(f"[{chunk.chunk_type}] tokens={chunk.token_count}")
    print(chunk.text[:200])
    print("---")

4. Use with LangChain

from longparser.integrations.langchain import LongParserLoader

loader = LongParserLoader("report.pdf")
documents = loader.load()  # Returns List[Document]

5. Use with LlamaIndex

from longparser.integrations.llamaindex import LongParserReader

reader = LongParserReader()
nodes = reader.load_data(file="report.pdf")

6. Start the REST Server

# Set environment variables
cp .env.example .env
# Edit .env with your keys

# Run server
uvicorn longparser.server.app:app --reload

Then visit http://localhost:8000/docs for the Swagger UI.

Supported Formats

Format	Extension	Notes
PDF	.pdf	OCR + table structure
Word	.docx	OMML equation injection
PowerPoint	.pptx	Slide-by-slide chunking
Excel	.xlsx	Sheet-aware table parsing
CSV	.csv	Column-profile chunks