Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
EasyOCR is an open-source, deep learning-based optical character recognition (OCR) library designed to detect and recognize text from images, scanned documents, screenshots, and other visual content. Built with PyTorch, it provides a Python-based framework for extracting text across multiple languages and supports CPU and GPU workloads for computer vision, document processing, automation, accessibility, and AI application development.
Key Features of EasyOCR:
Show the rest of the publisher’s description (13 more lines)
- Open-source AI-powered OCR library for detecting and recognizing text from images and visual content.
- Supports more than 80 languages for multilingual text detection and recognition.
- PyTorch-based framework suitable for artificial intelligence, machine learning, computer vision, research, and application development.
- Can be used for document digitization, data extraction, intelligent automation, image analysis, accessibility applications, and computer vision workflows.
- Supports CPU and GPU-based workloads for flexible OCR processing and AI development workflows.
Usage Instruction:
Activate virtual environment:
$ sudo su
$ cd /opt/easyocr
$ source venv/bin/activate
Verify EasyOCR version: $ pip show easyocr
Disclaimer:
EasyOCR is an open-source project maintained by its community and contributors and is not affiliated with or endorsed by Microsoft Azure or any other cloud provider. Users are responsible for configuring network access, authentication, security settings, firewall rules, model usage, licensing requirements, and access permissions when deploying and using EasyOCR in a cloud environment.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.