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caption-audit

PyPI·Infrastructure

caption-audit is a CLI tool that helps machine learning practitioners inspect captions and datasets used for LoRA training. It identifies tokens fused with trigger words in models such as Stable Diffusion and Flux, allowing users to audit data quality before expensive training runs. Particularly useful for fine-tuning image generation models with custom concepts.

Open SourceMITCLI
Visit PyPI↗

Overview

4 features

caption-audit is an AI & ML project. It focuses on identifying which tokens are fused with LoRA trigger words before wasting compute on a training run. caption-audit is an open-source project aimed at machine learning engineers. The project is open source (MIT). caption-audit is available on the command line.

caption-audit first shipped in 2026. The project is developed in the open on GitHub with 2 commits in the last 90 days. Key capabilities include Token Analysis, LoRA Auditing, and Caption Inspection.

Summary written by a language model from the project’s public pages.

  • ✓Token Analysis
  • ✓LoRA Auditing
  • ✓Caption Inspection
  • ✓Dataset Validation
Tags
lora-trainingcaption-analysisstable-diffusionflux-modeltoken-fusion
AI capabilities
Image
Inference: Local

Built with & integrations

Runs on
CLI

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Open Source✓GitHub✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed30 Jul · 18:39 UTC
    caption-audit verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about caption-audit

What is caption-audit?
Caption-audit focuses on identifying which tokens are fused with LoRA trigger words before wasting compute on a training run. It is catalogued under AI & ML on PulseGate.
Who is caption-audit for?
caption-audit is an open-source project built for machine learning engineers.
Does caption-audit have a free plan?
Yes — caption-audit is open source under the MIT license and free to use.
What platforms does caption-audit run on?
caption-audit runs on the command line.
Is caption-audit still active?
The GitHub repository shows 2 commits in the last 90 days.
What are alternatives to caption-audit?
Similar projects tracked by PulseGate include Cliprise, chi-ai, and AI DocuChat.Cliprisechi-aiAI DocuChat
How long has caption-audit been around?
caption-audit first shipped in 2026.
Is caption-audit open source?
Yes — caption-audit is open source under the MIT license, developed on GitHub.

At a glance

Platforms
Cli
Languages
English
Open source
Yes (GitHub)
License
MIT
First seen
30 Jul 2026
Built for
machine learning engineers
Model
Open source
Solves
Identifying which tokens are fused with LoRA trigger words before wasting compute on a training run.

Registered as

GitHub
0xBeycan/caption-audit
PyPI
caption-audit

Developer

0xbeycan
Solo developer
↗ GitHub

Open source

View on GitHub →
Stars
0
Forks
0
Open issues
0
Last commit
30 Jul 2026
Commits 90d
2
Contributors
1
Authorship
Solo
Default branch
main
Latest release
v1.1.0 · 30 Jul 2026

Live coverage

Identity confidence
Low · 64
Indexed
30 Jul 2026
Lifecycle
Alive
First seen
Jul 2026
Last seen
30 Jul 2026
Identity audit (13)
Slug
caption-audit-pypi-org
Lifecycle state recorded
30 Jul 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
30 Jul 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Name from
Written by a language model from the project's public pages.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
30 Jul 2026
Canonical URL
https://pypi.org/project/caption-audit

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