Invoke this skill BEFORE implementing any text extraction/parsing logic to learn how to use LlamaParse to process any document accurately. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
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Updated Nov 3, 2025, 04:27 PM
Why Use This
This skill provides specialized capabilities for run-llama's codebase.
Use Cases
Developing new features in the run-llama repository
Refactoring existing code to follow run-llama standards
Understanding and working with run-llama's codebase structure
---
name: PDF Processing
description: Invoke this skill BEFORE implementing any text extraction/parsing logic to learn how to use LlamaParse to process any document accurately. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
---
# PDF Processing
## Quick start
Extract text:
```python
from llama_cloud_services import LlamaParse
parser = LlamaParse(
parse_mode="parse_page_with_agent",
model="openai-gpt-4-1-mini",
high_res_ocr=True,
adaptive_long_table=True,
outlined_table_extraction=True,
output_tables_as_HTML=True,
result_type="markdown",
project_id=project_id,
organization_id=organization_id,
)
result = parser.parse("./my_file.pdf")
documents = result.get_markdown_documents(split_by_page=True)
full_text = ""
for document in documents:
full_text += document.text + "\n\n---\n\n"
```
For more detailed code implementations, see [REFERENCE.md](REFERENCE.md).
## Requirements
The `llama_cloud_services` package must be installed in your environment:
```bash
pip install llama_cloud_services
```
And the `LLAMA_CLOUD_API_KEY` must be available as an environment variable:
```bash
export LLAMA_CLOUD_API_KEY="..."
```