diff --git a/README.md b/README.md
index 02686d56e3f5788239e6af5e6d60e433b5354319..0d71f32757153950a4330f7501a3032362f99e8e 100644
--- a/README.md
+++ b/README.md
@@ -1,10 +1,13 @@
 ---
-license: agpl-3.0
+license: other
 library_name: onnx
 tags:
 - onnx
 - computer-vision
 - yolo
+- paddleocr
+- ocr
+- text-detection
 - object-detection
 - image-segmentation
 - image-classification
@@ -21,13 +24,52 @@ These files are generated artifacts. They are not covered by the Apache-2.0 lice
 
 See `models.manifest.json` for file paths, sizes and SHA256 hashes.
 
-## Model License
+## Model Licenses
 
-The model weights are provided under AGPL-3.0, consistent with the Ultralytics YOLO licensing terms.
+This repository contains prepared artifacts from different model families. The Hugging Face metadata uses `license: other` because a single repository-level license value would be misleading.
+
+### YOLO-Derived Models
+
+YOLO weights and YOLO-derived prepared artifacts are provided under AGPL-3.0, consistent with the Ultralytics YOLO licensing terms.
+
+This applies to YOLO-family folders such as:
+
+- `yolo26n/`;
+- `yolo26n-cls/`;
+- `yolo26n-obb/`;
+- `yolo26n-pose/`;
+- `yolo26n-seg/`;
+- other artifacts exported from or derived from Ultralytics YOLO models.
+
+Users are responsible for ensuring that their YOLO model use complies with the licenses of:
 
-The author provides these weights "as is", without warranty.
-Users are responsible for ensuring that their use complies with the licenses of:
 - Ultralytics YOLO;
 - the base/pretrained model, if any;
 - the training dataset;
 - any deployment/runtime libraries.
+
+### PaddleOCR Models
+
+PaddleOCR / PP-OCR artifacts are provided under Apache-2.0, consistent with the PaddleOCR project license.
+
+The PaddleOCR artifacts in this repository are prepared ONNX files for NeuroModFlowNet.ONNX demos. The clean detection models are sourced from the ONNX exports in `monkt/paddleocr-onnx`, which describe the original models as PaddleOCR / PP-OCR models from the PaddlePaddle team and mark the ONNX exports as Apache-2.0.
+
+Current PaddleOCR paths include:
+
+- `paddleocr/detection/v3/det.onnx`;
+- `paddleocr/detection/v3/det_bytebgr.onnx`;
+- `paddleocr/detection/v5/det.onnx`;
+- `paddleocr/detection/v5/det_bytebgr.onnx`.
+
+Source references:
+
+- PaddleOCR project: https://github.com/PaddlePaddle/PaddleOCR
+- PaddleOCR / PP-OCR ONNX source used by the preparation scripts: https://huggingface.co/monkt/paddleocr-onnx
+
+### Prepared Variants
+
+Files with embedded preprocessing heads, for example `*_bytebgr.onnx`, are modified variants prepared for lower-overhead NeuroModFlowNet.ONNX input pipelines. They keep the license obligations of the source model family they were derived from.
+
+## Warranty
+
+The author provides these artifacts "as is", without warranty. Users are responsible for checking that their use complies with all applicable model, dataset, export, and deployment/runtime licenses.
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+++ b/models.manifest.json
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 {
-  "generatedAtUtc": "2026-04-27T14:03:56.5059683+00:00",
+  "generatedAtUtc": "2026-04-28T06:44:32.1792152+00:00",
   "sourceRoot": "models",
   "artifactKind": "prepared-onnx",
   "licenseNote": "Prepared model artifacts are not licensed under the repository Apache-2.0 license. Each artifact keeps the license obligations of the source model it was derived from.",
   "assets": [
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