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GroupDocs.Metadata for Python via .NET Downloads

Release Notes Download

GroupDocs.Metadata for Python via .NET is a metadata management API that reads, edits, and removes metadata from documents, spreadsheets, presentations, PDFs, images, audio, and video — 70+ file formats. It works with the major metadata standards (XMP, EXIF, IPTC, Image Resource Blocks, ID3, document properties) through one unified, format-independent API.

Get Started

pip install groupdocs-metadata-net

from groupdocs.metadata import Metadata

with Metadata("document.docx") as metadata:
    root = metadata.get_root_package()
    print("Format:", root.file_type.file_format)

How It Works

The package is a self-contained Python wheel (~160 MB) that bundles the embedded .NET runtime and everything needed to process metadata. No external software installation is required — just pip install and start reading metadata. The wheel works across Python 3.5 – 3.14 on Windows, Linux, and macOS (Intel + Apple Silicon).

Features

Read, edit, and remove metadata from 70+ formats with one unified API.
Metadata standards: XMP, EXIF, IPTC IIM, Image Resource Blocks, ID3 (ID3v1/ID3v2), Lyrics3, APE.
Search engine: find, update, add, and remove properties with simple Python predicates and predefined tags.
One-call sanitize: strip every detected property before sharing a file.
Document inspection: detect format/MIME type, page count, encryption, digital signatures, comments, and hidden pages.
Export: dump the metadata tree to CSV, XLSX, JSON, or XML.
Cross-Platform: Windows x64/x86, Linux x64, macOS x64/ARM64.

Common Tasks

Detect a file’s real format and MIME type by its internal structure
Read EXIF/XMP/IPTC properties from photos
Read and edit ID3/APE/Lyrics tags in audio files
Strip author, comments, and revision history from Office documents before publishing
Find and remove properties that match a condition (by tag, name, type, or value)
Export a document’s full metadata tree to a spreadsheet for auditing
Feed extracted metadata into a search, compliance, or DAM pipeline

Supported File Formats

For a complete list, see supported formats.

Microsoft Office (Word, Excel, PowerPoint, Visio, Project, OneNote)
PDF
OpenDocument (ODT, ODS, ODP)
Images (JPEG, PNG, GIF, BMP, TIFF, WebP, DICOM, JPEG 2000, PSD, HEIF/HEIC, CR2/DNG and other RAW)
Audio (MP3, WAV, OGG)
Video (AVI, MOV, FLV, ASF, Matroska/MKV)
Email (EML, MSG)
eBook (EPUB)
Archives (ZIP, RAR, 7Z, TAR)
CAD (DWG, DXF)
3D (FBX, STL, 3DS, DAE)
Fonts (TTF, OTF) and other formats (vCard, torrent)

Examples

Read metadata

from groupdocs.metadata import Metadata

with Metadata("input.docx") as metadata:
    for prop in metadata.find_properties(lambda p: True):
        print(f"{prop.name} = {prop.value}")

Get document info

from groupdocs.metadata import Metadata

with Metadata("input.xlsx") as metadata:
    info = metadata.get_document_info()
    print("Format:", info.file_type.file_format)
    print("MIME type:", info.file_type.mime_type)
    print("Pages:", info.page_count)
    print("Size:", info.size, "bytes")
    print("Encrypted:", info.is_encrypted)

Find properties by tag

from groupdocs.metadata import Metadata
from groupdocs.metadata.tagging import Tags

with Metadata("input.docx") as metadata:
    authors = metadata.find_properties(lambda p: Tags.person.creator in list(p.tags))
    for prop in authors:
        print(prop.name, "=", prop.value)

Set / update properties and save

from datetime import datetime
from groupdocs.metadata import Metadata
from groupdocs.metadata.common import PropertyValue
from groupdocs.metadata.tagging import Tags

with Metadata("input.docx") as metadata:
    affected = metadata.set_properties(
        lambda p: Tags.time.created in list(p.tags),
        PropertyValue(datetime.now()),
    )
    print("Updated:", affected)
    metadata.save("output.docx")

Remove all metadata (sanitize)

from groupdocs.metadata import Metadata

with Metadata("input.pdf") as metadata:
    removed = metadata.sanitize()
    print("Removed:", removed)
    metadata.save("clean.pdf")

Export the metadata tree

from groupdocs.metadata import Metadata
from groupdocs.metadata.export import ExportManager, ExportFormat

with Metadata("input.pdf") as metadata:
    properties = list(metadata.find_properties(lambda p: True))
    ExportManager(properties).export("metadata.xlsx", ExportFormat.XLSX)

Load from a stream

import io
from groupdocs.metadata import Metadata

with open("input.docx", "rb") as stream:
    with Metadata(stream) as metadata:
        print("Format:", metadata.file_format)

buf = io.BytesIO(downloaded_bytes)
with Metadata(buf) as metadata:
    print(metadata.get_document_info().file_type.file_format)

AI Agent & LLM Friendly

This package is designed for seamless integration with AI agents, LLMs, and automated code generation tools.

AGENTS.md in the package — AI coding assistants (Claude Code, Cursor, GitHub Copilot) auto-discover the API surface, usage patterns, and troubleshooting tips from the installed package

MCP server — connect your AI tool to GroupDocs documentation for on-demand API lookups:

{ "mcpServers": { "groupdocs-docs": { "url": "https://docs.groupdocs.com/mcp" } } }

Machine-readable docs — full documentation available as plain text for RAG and LLM context:
- Single file: https://docs.groupdocs.com/metadata/python-net/llms-full.txt
- Per page: append .md to any docs URL

Evaluation Mode

The API works without a license in evaluation mode, with these limitations:

Only the first few properties of each metadata package are read.
Saving files is disabled — save() raises an “Evaluation only” exception.

To remove these limitations, apply a license or request a temporary license:

from groupdocs.metadata import License
License().set_license("path/to/license.lic")

Or set the environment variable (auto-applied at import):

export GROUPDOCS_LIC_PATH="path/to/license.lic"

Troubleshooting

Issue	Platform	Fix
`System.Drawing.Common is not supported`	Linux/macOS	`apt-get install libgdiplus` (Linux) or `brew install mono-libgdiplus` (macOS)
`The type initializer for 'Gdip' threw an exception`	macOS	`brew install mono-libgdiplus`
Errors processing images that need fonts	Linux	`apt-get install ttf-mscorefonts-installer fontconfig && fc-cache -f`
`DOTNET_SYSTEM_GLOBALIZATION_INVARIANT` errors	Linux	Do NOT set this variable. ICU must be available.

System Requirements

Python 3.5 - 3.14
Windows x64/x86, Linux x64, macOS x64/ARM64

More Resources

Also available for other platforms: .NET | Java | Node.js

GroupDocs.Metadata GroupDocs.Total Python PyPi Document-Parsing Metadata-Extraction Image-Metadata Audio-Metadata PDF-Metadata Sanitization

Direct Download

GroupDocs.Metadata for Python via .NET 26.5 Windows

Self-contained Python wheel of GroupDocs.Metadata 26.5 for Windows (x64). Compatible with Python 3.5-3.14. No external dependencies required. Read, write and remove metadata from documents and images.

Added: 25/5/2026 Downloads: