Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
MMOCR is an open-source Python toolbox developed by OpenMMLab for detecting, recognizing, and spotting text in images. It enables developers and researchers to build OCR pipelines for documents, natural scenes, and multilingual text, providing modular and extensible solutions for text detection and recognition.
Features of MMOCR:
Show the rest of the publisher’s description (11 more lines)
- Supports a wide range of text detection and recognition models (e.g., DBNet, CRNN, SAR, PSENet).
- Provides end-to-end text spotting pipelines combining detection and recognition.
- Works with Python and PyTorch, supporting both CPU and GPU environments.
- Includes pre-trained models and benchmark datasets for testing OCR performance.
- Modular, extensible, and widely used in AI research, document analytics, and automation tasks.
To check the installed version of MMOCR in your environment:
$ sudo su
$ sudo apt update
$ source /opt/mmocr-env/bin/activate
$ pip show mmocr
Disclaimer: MMOCR is developed and maintained by OpenMMLab. It provides general-purpose text detection and recognition tools, but accuracy depends on proper application and dataset-specific considerations. Always refer to official documentation or the Python package repository for the most accurate and up-to-date information.
Agent build and provenance
See the full provenance
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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.
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