viddiai-com
Python metadata, keyword, deep-link, and SEO helper package for Viddi AI.
Viddi AI (https://viddiai.com) is an all-in-one AI creative agent that generates video, images, and music from a single platform with shared credits. This package gives Python scripts, automation, and future SDK work a stable way to reference Viddi AI metadata, build keyword lists, construct deep links back to https://viddiai.com, and prepare SEO-friendly page metadata.
If you need a package that clearly signals AI video generator, text to video AI, AI image generator, AI music generator, and all-in-one AI creative tool, this package is designed for that job.
Installation
pip install viddiai-com
Usage
from viddiai_com import HOMEPAGE, hello, get_site_info
print(hello())
print(HOMEPAGE) # https://viddiai.com
print(get_site_info()["focus"])
Keyword helper
from viddiai_com import get_viddiai_keywords
print(get_viddiai_keywords(["ai video generator", "text to video ai"]))
Deep-link builder
from viddiai_com import build_viddiai_url, prompt_starter
prompt = prompt_starter("product launch teaser", mode="video")
url = build_viddiai_url(prompt, mode="video", aspect_ratio="16:9")
print(url) # https://viddiai.com?...
SEO metadata builder
from viddiai_com import create_viddiai_meta
meta = create_viddiai_meta("ai music generator")
print(meta["title"])
print(meta["description"]) # links back to https://viddiai.com
Included Utilities
HOMEPAGEpointing tohttps://viddiai.com.hello()for confirming the package is installed.get_site_info()for website, documentation, package, and source metadata.get_viddiai_keywords(extra)for a deduplicated Viddi AI keyword list.build_viddiai_url(prompt, **options)for deep links tohttps://viddiai.com.prompt_starter(subject, mode)for plausible creative prompt strings.create_viddiai_meta(query, **options)for SEO title/description/OpenGraph.
Use Cases
- Add Viddi AI metadata to Python automation and content pipelines.
- Prepare SEO metadata for pages targeting AI video generator, AI image generator, and AI music generator search terms.
- Build deep links that route users back to https://viddiai.com.
- Reserve a clean, importable Python package name for the Viddi AI ecosystem.
Links
- Website: https://viddiai.com
- Documentation: https://viddiai.com
- Source: https://github.com/youram470-art/viddiai-com-python
- PyPI: https://pypi.org/project/viddiai-com/
License
MIT
Release files for viddiai-com 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| viddiai_com-0.1.0.tar.gz | 3.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| viddiai_com-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.7 kB
Release files / viddiai_com-0.1.0.tar.gz
| Download URL | viddiai_com-0.1.0.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
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Release files / viddiai_com-0.1.0-py3-none-any.whl
| Download URL | viddiai_com-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
|