Try Pictovap with your own Markdown article and report back

[yoldaolmak]

What this is

We need early feedback from anyone willing to run Pictovap against a real, non-sensitive Markdown article. Real-world article formats vary widely; diverse input finds structural extraction gaps early.

How to try it from PyPI (no credentials needed)

python -m pip install --upgrade pictovap
pictovap plan --article path/to/your/article.md --output my-plan.json --report my-plan.md
pictovap feedback --plan my-plan.json --format markdown

pictovap feedback prints a GitHub-ready Markdown summary. It includes safe Pictovap/Python/OS metadata and plan counts, but excludes article text, private paths, image URLs, profile names, and credentials.

What to post in a comment

Paste the generated feedback Markdown and add any short notes that help interpret the run:

• Whether the command completed successfully.
• Whether the Visual Brief identified reasonable sections and image slots.
• Whether the Markdown report was clear enough for editorial review.
• Any traceback or confusing output if it failed.

Failure reports are as useful as success reports. Do not paste private article text, private paths, image URLs, or credentials.

Difficulty: Low · Credentials: None.

[yoldaolmak]

Maintainer update: this now needs external validation rather than another internal demo run. Please test a non-sensitive Markdown article, then report the Python version, operating system, article structure, and whether the generated slots and report matched editorial intent. Redact article content if it is not public.

[yoldaolmak]

Maintainer update: Pictovap 0.7.8 is now published on PyPI. The external validation path remains credential-free:

python -m pip install pictovap==0.7.8
pictovap plan --article path/to/your/article.md --output my-plan.json --report my-plan.md

Please report the Python version, OS, article shape, and whether the generated slots/report matched your editorial intent. Redact any private article text; a failure report is equally useful.

[yoldaolmak]

Update for the current release: Pictovap 0.7.9 now includes an anonymous validation summary, so you can report useful counts without sharing article content:

python -m pip install pictovap==0.7.9
pictovap plan --article path/to/article.md --output my-plan.json
pictovap feedback --plan my-plan.json

The summary includes only Pictovap/Python versions and plan counts (sections, slots, candidates, selected images, and placements). Please redact any article-specific output before posting if you add extra context. OS, Python version, success/failure, and the summary JSON are enough for a first report.

[yoldaolmak]

Update for the current release: Pictovap 0.7.12 is now published on PyPI and includes a Markdown feedback format that is ready to paste into a GitHub issue without sharing private article text.

python -m pip install pictovap==0.7.12
pictovap plan --article path/to/article.md --output my-plan.json
pictovap feedback --plan my-plan.json --format markdown

Please report the generated Markdown summary plus your OS, Python version, success/failure, and whether the suggested visual slots matched the article structure. Do not paste private article text, private paths, image URLs, or credentials. A confusing or failed run is useful feedback too.

[yoldaolmak]

Maintainer update: Pictovap 0.7.13 is now published on PyPI and the Markdown feedback report includes safe OS/Python metadata automatically.

Current credential-free validation path:

python -m pip install --upgrade pictovap
pictovap plan --article path/to/article.md --output my-plan.json --report my-report.md
pictovap feedback --plan my-plan.json --format markdown

Please paste the generated Markdown summary here if you try a non-sensitive article. It excludes article text, private paths, image URLs, profile names, and credentials. Success, confusing output, and failed runs are all useful validation evidence.