Craft-Text Detector
bCloud LLC · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
CRAFT-Text Detector is an open-source Python library designed to detect text regions in images
using the Character Region Awareness for Text (CRAFT) deep learning model. It accurately identifies
Show the rest of the publisher’s description (17 more lines)
text at the character level, making it highly effective for natural scene images, scanned documents,
and OCR preprocessing tasks.
Features of CRAFT-Text Detector:
- Detects text regions with high precision at the character level.
- Supports images of various sizes and resolutions.
- Compatible with both CPU and GPU (CUDA) execution.
- Provides bounding box coordinates for detected text regions.
- Easy integration with OCR pipelines and machine learning workflows.
- Python-based and suitable for research and production environments.
- Open-source and customizable for various computer vision applications.
CRAFT-Text Detector Usage
$ sudo su
$ source /opt/craft-text-detector/venv/bin/activate
$ pip show craft-text-detector | grep Version
Disclaimer: CRAFT-Text Detector is an open-source software project provided "as is," without any warranty,
express or implied. Users are responsible for proper installation, configuration, and compliance with applicable
licensing terms. Refer to the official documentation for updates and best practices.
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.