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 · npm
zerox
npm · v1.1.20 · MIT
ocr documents using gpt-4o-mini
- Computer Vision (primary)
- AI & Machine Learning
- Docs, CMS & Publishing · Tentative
- API & Integration · 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
npm install zeroxAdoption
- Downloads (30 days)
- 2K
- Observeddownloads / 30 days
- Popularity
- Lower half on npm
- Derived4th percentile within npm
- Dependents
- Collectinghistory
- Collecting
- Maintenance
- 0.44
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 80
- 66 versions over its life
Growth by period
Derived by Crest of Tech from two observations of npm’s own figure, a period apart. Nothing is stored or estimated: without an observation near the period’s start, the period is still collecting.
- 7 days
- +8.1% · 7d
- Derived+154 downloads / 30 days, SEP 30 → OCT 7
- 30 days
- −68.9% · 30d
- Derived−4.5K downloads / 30 days, SEP 7 → OCT 7
- 90 days
- −46.6% · 90d
- Derived−1.8K downloads / 30 days, JUL 6 → OCT 7
- 1 year
- −90.3% · 1y
- Derived−19K downloads / 30 days, NOV 10 → OCT 7
Adoption history
Adoption historydownloads / 30 days · 31 observations
Table of observations (31)
| Day | downloads / 30 days | Dependents |
|---|---|---|
| OCT 7, 2026 | 2,047 | Not observed |
| OCT 6, 2026 | 1,951 | Not observed |
| OCT 5, 2026 | 2,072 | Not observed |
| OCT 4, 2026 | 2,047 | Not observed |
| OCT 3, 2026 | 2,110 | Not observed |
| OCT 2, 2026 | 1,939 | Not observed |
| OCT 1, 2026 | 1,879 | Not observed |
| SEP 30, 2026 | 1,893 | Not observed |
| SEP 29, 2026 | 1,885 | Not observed |
| SEP 28, 2026 | 1,842 | Not observed |
| SEP 27, 2026 | 1,815 | Not observed |
| SEP 26, 2026 | 1,825 | Not observed |
| SEP 25, 2026 | 1,833 | Not observed |
| SEP 24, 2026 | 1,850 | Not observed |
| SEP 23, 2026 | 1,859 | Not observed |
| SEP 22, 2026 | 1,880 | Not observed |
| SEP 21, 2026 | 1,867 | Not observed |
| SEP 20, 2026 | 1,809 | Not observed |
| SEP 19, 2026 | 2,390 | Not observed |
| SEP 18, 2026 | 3,108 | Not observed |
| SEP 17, 2026 | 3,605 | Not observed |
| SEP 16, 2026 | 4,188 | Not observed |
| SEP 15, 2026 | 4,818 | Not observed |
| SEP 14, 2026 | 4,871 | Not observed |
| SEP 13, 2026 | 5,058 | Not observed |
| SEP 12, 2026 | 4,960 | Not observed |
| SEP 11, 2026 | 5,240 | Not observed |
| SEP 10, 2026 | 5,391 | Not observed |
| SEP 9, 2026 | 5,901 | Not observed |
| SEP 8, 2026 | 6,187 | Not observed |
| SEP 7, 2026 | 6,589 | Not observed |
Facts from the registry
- Latest version
- v1.1.20
- 66 versions
- First published
- JUL 21, 2024
- Last release
- MAY 20, 2025
- 17mo ago
- Licence
- MIT
Repository
Dependencies latest version · v1.1.20
Runtime 20
- @aws-sdk/client-bedrock-runtime
^3.734.0 - @google/genai
^0.9.0 - axios
^1.7.2 - child_process
^1.0.2 - file-type
^16.5.4 - fs-extra
^11.2.0 - heic-convert
^2.1.0 - libreoffice-convert
^1.6.0 - mime-types
^2.1.35 - openai
^4.82.0 - os
^0.1.2 - p-limit
^3.1.0 - path
^0.12.7 - pdf-parse
^1.1.1 - pdf2pic
^3.1.1 - sharp
^0.33.5 - tesseract.js
^5.1.1 - util
^0.12.5 - uuid
^11.0.3 - xlsx
^0.18.5
Related packages
- pyzerox-impacteocr documents using vision models from all popular providers like OpenAI, Azure OpenAI, Anthropic, AWS Bedrock etcPublished 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.