| Name | llama-index-readers-docling JSON |
| Version |
0.4.0
JSON |
| download |
| home_page | None |
| Summary | llama-index readers docling integration |
| upload_time | 2025-07-30 23:09:15 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <3.13,>=3.10 |
| license | None |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Docling Reader
## Overview
Docling Reader uses [Docling](https://github.com/DS4SD/docling) to enable fast and easy extraction of PDF, DOCX, HTML, and other document types, into Markdown or JSON-serialized Docling format, for usage in LlamaIndex pipelines for RAG / QA etc.
## Installation
```console
pip install llama-index-readers-docling
```
## Usage
### Markdown export
By default, Docling Reader exports to Markdown. Basic usage looks like this:
```python
from llama_index.readers.docling import DoclingReader
reader = DoclingReader()
docs = reader.load_data(file_path="https://arxiv.org/pdf/2408.09869")
print(f"{docs[0].text[389:442]}...")
# > ## Abstract
# >
# > This technical report introduces Docling...
```
### JSON export
Docling Reader can also export Docling's native format to JSON:
```python
from llama_index.readers.docling import DoclingReader
reader = DoclingReader(export_type=DoclingReader.ExportType.JSON)
docs = reader.load_data(file_path="https://arxiv.org/pdf/2408.09869")
print(f"{docs[0].text[:53]}...")
# > {"schema_name": "DoclingDocument", "version": "1.0.0"...
```
> [!IMPORTANT]
> To appropriately parse Docling's native format, when using JSON export make sure
> to use a Docling Node Parser in your pipeline.
### With Simple Directory Reader
The Docling Reader can also be used directly in combination with Simple Directory Reader, for example:
```python
from llama_index.core import SimpleDirectoryReader
dir_reader = SimpleDirectoryReader(
input_dir="/path/to/docs",
file_extractor={".pdf": reader},
)
docs = dir_reader.load_data()
print(docs[0].metadata)
# > {'file_path': '/path/to/docs/2408.09869v3.pdf',
# > 'file_name': '2408.09869v3.pdf',
# > 'file_type': 'application/pdf',
# > 'file_size': 5566574,
# > 'creation_date': '2024-10-06',
# > 'last_modified_date': '2024-10-03'}
```
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"description": "# Docling Reader\n\n## Overview\n\nDocling Reader uses [Docling](https://github.com/DS4SD/docling) to enable fast and easy extraction of PDF, DOCX, HTML, and other document types, into Markdown or JSON-serialized Docling format, for usage in LlamaIndex pipelines for RAG / QA etc.\n\n## Installation\n\n```console\npip install llama-index-readers-docling\n```\n\n## Usage\n\n### Markdown export\n\nBy default, Docling Reader exports to Markdown. Basic usage looks like this:\n\n```python\nfrom llama_index.readers.docling import DoclingReader\n\nreader = DoclingReader()\ndocs = reader.load_data(file_path=\"https://arxiv.org/pdf/2408.09869\")\nprint(f\"{docs[0].text[389:442]}...\")\n# > ## Abstract\n# >\n# > This technical report introduces Docling...\n```\n\n### JSON export\n\nDocling Reader can also export Docling's native format to JSON:\n\n```python\nfrom llama_index.readers.docling import DoclingReader\n\nreader = DoclingReader(export_type=DoclingReader.ExportType.JSON)\ndocs = reader.load_data(file_path=\"https://arxiv.org/pdf/2408.09869\")\nprint(f\"{docs[0].text[:53]}...\")\n# > {\"schema_name\": \"DoclingDocument\", \"version\": \"1.0.0\"...\n```\n\n> [!IMPORTANT]\n> To appropriately parse Docling's native format, when using JSON export make sure\n> to use a Docling Node Parser in your pipeline.\n\n### With Simple Directory Reader\n\nThe Docling Reader can also be used directly in combination with Simple Directory Reader, for example:\n\n```python\nfrom llama_index.core import SimpleDirectoryReader\n\ndir_reader = SimpleDirectoryReader(\n input_dir=\"/path/to/docs\",\n file_extractor={\".pdf\": reader},\n)\ndocs = dir_reader.load_data()\nprint(docs[0].metadata)\n# > {'file_path': '/path/to/docs/2408.09869v3.pdf',\n# > 'file_name': '2408.09869v3.pdf',\n# > 'file_type': 'application/pdf',\n# > 'file_size': 5566574,\n# > 'creation_date': '2024-10-06',\n# > 'last_modified_date': '2024-10-03'}\n```\n",
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