PJL Viewer

A free online tool to parse, visualize, and validate PJL scripts for printer job configuration, aiding IT admins and developers.

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About This Tool

PJL Viewer parses Printer Job Language scripts to extract commands, options, and blocks, providing a structured view of a PJL script. It targets printer administrators, IT technicians, and developers integrating PJL validation into tooling.
It uses lexical analysis and a small PJL grammar to identify @PJL blocks, parameter tokens, and comments, producing a command inventory with line numbers.
Benefits include error reporting with line references, a delta view showing changes between versions, and exportable summaries for change control.
Use cases include validating a script before deployment, comparing variants, and generating audit-ready reports for printers across sites.

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How to Use

Provide inputs by pasting the PJL script into the PJL text field.
Optionally set printer_model and detail_level.
Run parsing/validation to generate parsed_commands and errors.
Review command inventory, errors, and summary; export if needed.
Use results to document configurations or troubleshoot issues.

Frequently Asked Questions

Find Quick Answers

What is PJL Viewer used for?

PJL Viewer helps validate and visualize Printer Job Language scripts by parsing PJL blocks, listing commands, and reporting syntax issues. It is useful before deployment, for audits, and for troubleshooting printer jobs.

Can it simulate PJL behavior without printing?

Yes, the simulation mode performs in-memory state tracking of PJL blocks without sending data to printers, enabling analysts to verify progression, dependencies, and error scenarios.

What outputs are produced?

Outputs include a parsed_commands list with line references, an errors array with codes and messages, and a summary with counts and detected token types; you can export to JSON or CSV for documentation.

Is this tool free and how to export results?

The tool is a free online utility; results can be exported as JSON or CSV and integrated into change logs, audits, or support tickets.

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