pdfcpu/pdfcpu

PDF tooling for Go and the command line.

Go

8,865

1,191 commits

updated Oct 11, 2026

See the code

README

pdfcpu: PDF tooling for Go and the command line

Test Coverage Status Go Reference License Sponsor

pdfcpu is a PDF processing library and command-line tool written in Go. It supports validation, optimization, encryption, signing, document assembly, content extraction, and other common PDF operations.

pdfcpu supports PDF versions through PDF 2.0 (ISO 32000-2). PDF 2.0 validation support is basic and continuously improving.

  Horst Rutter, the maintainer of pdfcpu, is a member of the PDF Association.


Installation


Usage

CLI

Validate a PDF:

pdfcpu validate input.pdf

Merge two PDFs:

pdfcpu merge merged.pdf in1.pdf in2.pdf

Go API

See API documentation for usage examples.


Features

  • Validate, optimize, split, trim, and merge PDFs
  • Extract and manipulate images, fonts, and metadata
  • Encrypt and decrypt PDFs
  • Resize and rotate pages
  • Add and remove stamps and watermarks
  • Validate signature integrity, report signature evidence, and remove signatures
  • Manage attachments and portfolios

Examples

Selected examples:

         

       

 


Commands

Complete list of supported commands:


Motivation

pdfcpu aims to provide comprehensive PDF processing capabilities implemented in Go for both individual files and automated batch processing.

It focuses on correctness, robustness and independence from external dependencies.


Focus

  • comprehensive PDF processing functionality
  • minimal external dependencies
  • predictable and stable behavior

Documentation

CLI

  • Command help: pdfcpu [command] --help

Go API


Contributing

Contributions are welcome. See the contributing guidelines and the complete list of contributors.

Reporting PDF issues

For triage, we use Adobe Acrobat Reader and macOS Preview as practical compatibility references.
Reports are especially helpful when a PDF opens in either application but cannot be processed by pdfcpu, as these cases may reveal opportunities to improve validation or parser compatibility.
If neither application can open the PDF, it is unlikely that pdfcpu will be able to process it reliably.

Start by validating the file:

pdfcpu validate -vv <file.pdf>

Include the command, its verbose output, and a sample PDF with the report.
Please submit only files that you have permission to share and that contain no confidential information or personal data.


Security

Please do not report security vulnerabilities through public GitHub issues.
See the security policy for private reporting instructions.


Code of Conduct

This project is released with a Contributor Code of Conduct. By participating, you agree to abide by its terms.


Disclaimer

Use of pdfcpu assumes compliance with all applicable copyrights for any processed PDF content, including embedded resources such as fonts and images.

Gopher artwork by Renee French


License

Apache License 2.0


cli
go
golang
golang-library
pdf
pdf-files
pdf-tools

pdfcpu/pdfcpu

PDF tooling for Go and the command line.

Go

8,865

1,191 commits

updated Oct 11, 2026

See the code

README

pdfcpu: PDF tooling for Go and the command line

Test Coverage Status Go Reference License Sponsor

pdfcpu is a PDF processing library and command-line tool written in Go. It supports validation, optimization, encryption, signing, document assembly, content extraction, and other common PDF operations.

pdfcpu supports PDF versions through PDF 2.0 (ISO 32000-2). PDF 2.0 validation support is basic and continuously improving.

  Horst Rutter, the maintainer of pdfcpu, is a member of the PDF Association.


Installation


Usage

CLI

Validate a PDF:

pdfcpu validate input.pdf

Merge two PDFs:

pdfcpu merge merged.pdf in1.pdf in2.pdf

Go API

See API documentation for usage examples.


Features

  • Validate, optimize, split, trim, and merge PDFs
  • Extract and manipulate images, fonts, and metadata
  • Encrypt and decrypt PDFs
  • Resize and rotate pages
  • Add and remove stamps and watermarks
  • Validate signature integrity, report signature evidence, and remove signatures
  • Manage attachments and portfolios

Examples

Selected examples:

         

       

 


Commands

Complete list of supported commands:


Motivation

pdfcpu aims to provide comprehensive PDF processing capabilities implemented in Go for both individual files and automated batch processing.

It focuses on correctness, robustness and independence from external dependencies.


Focus

  • comprehensive PDF processing functionality
  • minimal external dependencies
  • predictable and stable behavior

Documentation

CLI

  • Command help: pdfcpu [command] --help

Go API


Contributing

Contributions are welcome. See the contributing guidelines and the complete list of contributors.

Reporting PDF issues

For triage, we use Adobe Acrobat Reader and macOS Preview as practical compatibility references.
Reports are especially helpful when a PDF opens in either application but cannot be processed by pdfcpu, as these cases may reveal opportunities to improve validation or parser compatibility.
If neither application can open the PDF, it is unlikely that pdfcpu will be able to process it reliably.

Start by validating the file:

pdfcpu validate -vv <file.pdf>

Include the command, its verbose output, and a sample PDF with the report.
Please submit only files that you have permission to share and that contain no confidential information or personal data.


Security

Please do not report security vulnerabilities through public GitHub issues.
See the security policy for private reporting instructions.


Code of Conduct

This project is released with a Contributor Code of Conduct. By participating, you agree to abide by its terms.


Disclaimer

Use of pdfcpu assumes compliance with all applicable copyrights for any processed PDF content, including embedded resources such as fonts and images.

Gopher artwork by Renee French


License

Apache License 2.0


cli
go
golang
golang-library
pdf
pdf-files
pdf-tools

Project health

Overall

5.0/10

Maintained

10/10

Code review

0/10
OpenSSF Scorecard

Latest release

v0.16.1 · Oct 4, 2026

Releases this year

8

Significant stargazers

(top 24 of 103)

Timothy Gu

1,080 followers · starred Mar 2021

Márk Sági-Kazár

1,389 followers · starred Sep 2018

Marc Foley

312 followers · starred Mar 2022

David Symonds

851 followers · starred Nov 2022