Parse Examples

A collection of runnable tutorials for the most common Parse workflows. Each one walks through a real document end-to-end and shows the SDK calls in context. Most tutorials are Python notebooks (Jupyter, Colab); the TypeScript tutorial shows the same patterns from Node.js. If you’re new to Parse, the Getting Started page will give you the bare-bones first parse in 60 seconds.

Start here

Quick Start: Parse a PDF & Interpret Outputs Python · Parse a real US Treasury financial report and interpret the four most common output views — text, markdown, items, and metadata. The best place to start if you're new to the Parse SDK.

Parse a PDF in TypeScript TypeScript · Parse a PDF from a Node.js script — install, set the API key, run the parse, walk the markdown output, and save it to disk. The TypeScript counterpart to the Python Quick Start.

By use case

Structured extraction

Parse a Financial Report and Extract Every Table Walk every page of a real Treasury financial report, pull every table out into pandas DataFrames with source-page provenance, and turn on Cost Optimizer to keep costs down on long mixed-complexity documents.

Parse Embedded Charts and Analyze with Pandas Use specialized chart parsing to extract chart data from a financial report, then load the resulting tables into pandas for summaries, plots, and value counts.

Parse and Analyze Excel Spreadsheets Parse a multi-sheet XLSX template and (optionally) build a small RAG app over the rows with the LlamaIndex framework.

Prompt engineering

Parse with Additional Prompts Steer Parse with a custom prompt to focus on the parts of a document you care about. Walks through extracting just the prices from a McDonald's receipt.

Bulk processing

Parse All PDFs in a Folder (Async) Batch-parse every PDF in a directory with controlled concurrency using asyncio and a semaphore. The pattern to use when you have hundreds or thousands of files.

More resources

• Browse the SDK examples on GitHub — for more detailed Python SDK examples, see run-llama/llama-cloud-py/tree/main/examples/parse.
• Look up an option — see the Input Options, Output Options, and Processing Options groups for prose explanations of every knob.
• Pick the right tier — see the Tiers page for guidance on fast vs cost_effective vs agentic vs agentic_plus.
• Understand the configuration model — see the Configuration Model page for where every option lives in the request shape.