In the Crest catalog
getomni-ai/zerox
OCR & Document Extraction using vision models
- Stars
- 12.3K
- Forks
- 848
- Language
- TypeScript
- Last push
- 17mo ago
- Last release
- 23mo ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
pyzerox-impacte
PyPI · v0.0.8 · MIT
ocr documents using vision models from all popular providers like OpenAI, Azure OpenAI, Anthropic, AWS Bedrock etc
- Computer Vision (primary)
- AI & Machine Learning
- Cloud Infrastructure
- Docs, CMS & Publishing · Tentative
- LLM Apps & Clients · Tentative
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install
pip install pyzerox-impacteAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.11
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 258
- 2 versions over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v0.0.8
- 2 versions
- First published
- DEC 7, 2024
- Last release
- DEC 10, 2024
- 23mo ago
- Licence
- MIT
Repository
Dependencies latest version · v0.0.8
Runtime 6
- aiofiles
<24.0,>=23.0 - aiohttp
<4.0.0,>=3.9.5 - aioshutil
<2.0,>=1.5 - litellm
<2.0.0,>=1.44.15 - pdf2image
<2.0.0,>=1.17.0 - pypdf2
<4.0.0,>=3.0.1
Related packages
- zeroxocr documents using gpt-4o-miniPublished from the same repository
- inference-sdkWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.Same primary category
- inference-gpuWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.Same primary category
- inference-cpuWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.Same primary category
- inference-coreWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.Same primary category
- inference-cliWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference CLI.Same primary category
- inferenceWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.Same primary category
Related news
No published news event mentions this package or its repository yet.