Timeline Phrase Extractor
Extract timeline phrases and literal custom-calendar glossary matches with source spans for human review.
The problem it solves
Timeline Phrase Extractor Extract dated, duration, and relative-time phrases into an ordered manuscript review list. The command runs locally, uses explicit UTF-8 JSON input, and produces deterministic JSON or Markdown reports without modifying the supplied source material.
Who Timeline Phrase Extractor is for
- People who need a small, purpose-built utility instead of a broad platform.
- Users working with writing, timeline, chronology who want the documented v1.2.1 behavior.
- People who prefer an open-source release with visible limitations, source, and license terms.
Intended result
Extract timeline phrases and literal custom-calendar glossary matches with source spans for human review.
This summary is reconciled from the current catalog and repository documentation.
Features in v1.2.1
Capabilities below come from the current project README and release documentation.
Extract dated, duration, and relative-time phrases into an ordered manuscript review list. The command runs locally, uses explicit UTF-8 JSON input, and produces deterministic JSON or Markdown reports without modifying the supplied source material.
Verified examples
Screenshots are shown only when the current README references a local source image. Otherwise, repository example files are linked directly.
Platforms and implementation
The public release claims only the cataloged platforms and technologies.
Supported platforms
- Windows
- macOS
- Linux
Built with
- Python
Changelog
Release notes from the canonical v1.2.1 source tag.
- Correct released documentation labels; package behavior is unchanged.
- Preserve the original v1.2.0 tags and artifacts. This patch supplies corrected documentation in new artifacts.
- Optional
glossaryis an array of literal phrases, for example["Third Frost", "Moon+1"].
- Added month-name and ISO dates plus 24-hour clock-time detection.
- Added Markdown-section names, source-line context, and per-kind totals.
- Released the first complete Timeline Phrase Extractor command-line workflow.
- Added deterministic JSON and Markdown reporting, representative examples, and cross-platform tests.
Quick start
The shortest documented path into the current release.
Before running these source commands, download the v1.2.1 source archive, extract it, and open a terminal in the extracted project folder containing README.md. Follow the tagged README for required runtimes and any platform-specific setup.
python -m pip install .
timeline-phrases examples/sample.json
timeline-phrases examples/sample.json --format json --output report.jsonThe example documents the complete input shape. Version 1.1 recognizes month-name and ISO dates plus 24-hour clock times, and adds source-line context, Markdown-section names, and per-kind totals. Markdown is intended for immediate review; JSON preserves structured evidence for scripts and later comparison. An existing output file is never overwritten.
Current limitations
These boundaries are part of the product and prevent the page from implying unverified capability.
Regex matches are review prompts. The tool preserves document order and does not resolve fictional calendars, ambiguous references, or chronology.
Privacy and licensing
Review the actual data boundary before using a tool with sensitive inputs.
Privacy and safety
All manuscript text stays local.
Python 3.10 or newer is supported on Windows, macOS, and Linux. The package has no runtime dependencies, telemetry, account, or hosted service.
License and release
Timeline Phrase Extractor is published under MIT. The current cataloged release is v1.2.1, published 2026-10-16.
Related projects
Related projects are selected deterministically from shared catalog tags, category, and implementation technologies—not popularity or paid placement.
Timeline Phrase Extractor v1.2.1
Use the tagged release for downloads and release notes. Use the repository for source, issues, contribution guidance, security reporting, and complete documentation.
Page source: current Forge catalog plus README and CHANGELOG from the canonical GitHub release tag. Fingerprint: 154b292dc6904e77.