llama-index-readers-file
llama-index readers file integration
Decision gist · record as of 2026-08-14
Yes. This is actively maintained with low install friction and no known vulnerabilities. It provides broad format coverage through readers for PDFs, DOCX, images, CSV, HTML, Markdown, notebooks, presentations, and more. Install it if you need to ingest documents from multiple file types.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires llama-index-core as a runtime dependency; Python 3.10 or later.
- Low install friction with a pure-Python wheel distribution.
- Actively maintained with current Python version support.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions.
last release 2026-03-12 (155 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 4,390,193 downloads/mo, #2,314 on PyPI
Alternatives
Verify before relying
pip install llama-index-readers-file
from llama_index.readers.file import PDFReader
parser = PDFReader()
file_extractor = {".pdf": parser}
documents = SimpleDirectoryReader("./data", file_extractor=file_extractor).load_data()- Whether all listed loaders are fully functional or if some require additional system libraries.
- Performance characteristics when processing large files or directories with many documents.
- Whether image-based loaders require additional model downloads or API keys.
What it is and what it does
This package provides specialized file parsers for multiple document formats including PDFs, Word documents, spreadsheets, images, notebooks, presentations, and markup files. It wraps several underlying parsing libraries (beautifulsoup4, pypdf, defusedxml, striprtf, and pandas) to handle format-specific extraction. Each loader extracts text, metadata, and structure from its target format and integrates with the document abstraction layer, allowing you to build multi-format ingestion pipelines without writing custom parsing code.
The package is designed as the default integration for file loading, providing readers like DocxReader, PDFReader, EpubReader, HTMLTagReader, ImageReader, IPYNBReader, MarkdownReader, MboxReader, PptxReader, PandasCSVReader, CSVReader, XMLReader, and others. You select the appropriate reader for your file type and pass it to SimpleDirectoryReader, which then loads and structures the content for downstream indexing and retrieval tasks.
Use it for
- Ingest a directory of mixed PDFs and Word documents for semantic search and indexing.
- Parse CSV files with PandasCSVReader or PagedCSVReader to load tabular data as documents.
- Extract text and structure from HTML files or email archives (MBOX) for knowledge base construction.
- Process Jupyter notebooks or Markdown files to index code and documentation together.
- Load images with ImageReader for multimodal document indexing.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is actively maintained with low install friction and no known vulnerabilities. It provides broad format coverage through readers for PDFs, DOCX, images, CSV, HTML, Markdown, notebooks, presentations, and more. Install it if you need to ingest documents from multiple file types.
Install
llama-index-readers-file on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained with current Python version support.
Requires llama-index-core as a runtime dependency; Python 3.10 or later.
License in practice
MIT license permits commercial and private use with minimal restrictions.
Quickstart
pip install llama-index-readers-file
from llama_index.readers.file import PDFReader
parser = PDFReader()
file_extractor = {".pdf": parser}
documents = SimpleDirectoryReader("./data", file_extractor=file_extractor).load_data()Verify before relying
- Whether all listed loaders are fully functional or if some require additional system libraries.
- Performance characteristics when processing large files or directories with many documents.
- Whether image-based loaders require additional model downloads or API keys.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesbeautifulsoup4defusedxmlllama-index-corepandaspypdfstriprtf |
| Maintenance | Actively maintained 155 days since the last release |
| First released | |
| Downloads | 4,390,193 / month, #2,314 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: llama_index_readers_file-0.6.0-py3-none-any.whl
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See also llama-index-readers-llama-parse · llama-parse · llama-index-readers-confluence · llama-index · llama-index-legacy · llama-index-core · llama-index-embeddings-langchain · pymupdf4llm · llama-index-llms-litellm · llama-index-llms-langchain