LlamaIndex Readers Integration: File
pip install llama-index-readers-file
This is the default integration for different loaders that are used within SimpleDirectoryReader.
Provides support for the following loaders:
- DocxReader
- HWPReader
- PDFReader
- EpubReader
- FlatReader
- HTMLTagReader
- ImageCaptionReader
- ImageReader
- ImageVisionLLMReader
- IPYNBReader
- MarkdownReader
- MboxReader
- PptxReader
- PandasCSVReader
- VideoAudioReader
- UnstructuredReader
- PyMuPDFReader
- ImageTabularChartReader
- XMLReader
- PagedCSVReader
- CSVReader
- RTFReader
Installation
pip install llama-index-readers-file
Usage
Once installed, You can import any of the loader. Here's an example usage of one of the loader.
from llama_index.core import SimpleDirectoryReader
from llama_index.readers.file import (
DocxReader,
HWPReader,
PDFReader,
EpubReader,
FlatReader,
HTMLTagReader,
ImageCaptionReader,
ImageReader,
ImageVisionLLMReader,
IPYNBReader,
MarkdownReader,
MboxReader,
PptxReader,
PandasCSVReader,
VideoAudioReader,
UnstructuredReader,
PyMuPDFReader,
ImageTabularChartReader,
XMLReader,
PagedCSVReader,
CSVReader,
RTFReader,
)
# PDF Reader with `SimpleDirectoryReader`
parser = PDFReader()
file_extractor = {".pdf": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# Docx Reader example
parser = DocxReader()
file_extractor = {".docx": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# HWP Reader example
parser = HWPReader()
file_extractor = {".hwp": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# Epub Reader example
parser = EpubReader()
file_extractor = {".epub": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# Flat Reader example
parser = FlatReader()
file_extractor = {".txt": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# HTML Tag Reader example
parser = HTMLTagReader()
file_extractor = {".html": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# Image Reader example
parser = ImageReader()
file_extractor = {
".jpg": parser,
".jpeg": parser,
".png": parser,
} # Add other image formats as needed
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# IPYNB Reader example
parser = IPYNBReader()
file_extractor = {".ipynb": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# Markdown Reader example
parser = MarkdownReader()
file_extractor = {".md": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# Mbox Reader example
parser = MboxReader()
file_extractor = {".mbox": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# Pptx Reader example
# Basic usage - extracts text, tables, charts, and speaker notes
parser = PptxReader()
# Advanced usage - control parsing behavior
parser = PptxReader(
extract_images=True, # Enable image captioning
context_consolidation_with_llm=True, # Use LLM for content synthesis
num_workers=4, # Parallel processing
batch_size=10, # Slides processed per worker batch
raise_on_error=True, # Raise value error if file_parsing is not successful
)
file_extractor = {".pptx": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# Pandas CSV Reader example
parser = PandasCSVReader()
file_extractor = {".csv": parser} # Add other CSV formats as needed
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# PyMuPDF Reader example
parser = PyMuPDFReader()
file_extractor = {".pdf": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# XML Reader example
parser = XMLReader()
file_extractor = {".xml": parser}
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# Paged CSV Reader example
parser = PagedCSVReader()
file_extractor = {".csv": parser} # Add other CSV formats as needed
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
# CSV Reader example
parser = CSVReader()
file_extractor = {".csv": parser} # Add other CSV formats as needed
documents = SimpleDirectoryReader(
"./data", file_extractor=file_extractor
).load_data()
This loader is designed to be used as a way to load data into LlamaIndex.
Metadata
Release files for llama-index-readers-file 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| llama_index_readers_file-0.7.0.tar.gz | 32.8 kB | Without provenance | Details for llama_index_readers_file-0.7.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llama_index_readers_file-0.7.0-py3-none-any.whl | Python 3 | none | any | Details for llama_index_readers_file-0.7.0-py3-none-any.whl |
Total release size: 84.8 kB
Release files / llama_index_readers_file-0.7.0.tar.gz
| Download URL | llama_index_readers_file-0.7.0.tar.gz |
|---|---|
| Size | 32.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
328e3fe5da6da6172e3d71b60b5c76c1676707b220c8fc47edfaa795f9aefd16
|
|
BLAKE2b-256 checksum How to use checksums |
bd55831d2a0884749eea87874d7586fea789fd60dcd3f894c91c1e65e5e80fde
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.7 {"installer":{"name":"uv","version":"0.12.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Release files / llama_index_readers_file-0.7.0-py3-none-any.whl
| Download URL | llama_index_readers_file-0.7.0-py3-none-any.whl |
|---|---|
| Size | 52.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
16f6735c2bf66546cca543dc3af15e4d4861c400edff0cccf5a445bb16f0340e
|
|
BLAKE2b-256 checksum How to use checksums |
dc8e2b180f923003f94f4b4c65353b24490e3bc45804488f927ead5543721242
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.7 {"installer":{"name":"uv","version":"0.12.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Security for llama-index-readers-file 0.7.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.