---
language:
- en
- ar
license: apache-2.0
library_name: onnxruntime
base_model:
- PaddlePaddle/PP-OCRv6_small_det_onnx
- PaddlePaddle/en_PP-OCRv5_mobile_rec_onnx
- PaddlePaddle/arabic_PP-OCRv5_mobile_rec_onnx
tags:
- falcon
- paddleocr
- onnx
- text-detection
- text-recognition
---

# Falcon OCR model pack

Pinned English/Arabic OCR artifacts for the Falcon desktop app. This is a
distribution pack containing three separate models, not one Transformers model.
These are PaddlePaddle models mirrored by Falcon, with no fine-tuning or changes
to the ONNX bytes. They run locally using ONNX Runtime.

| File | Official upstream | Role |
| --- | --- | --- |
| `paddleocr/det_small.onnx` | PaddlePaddle/PP-OCRv6_small_det_onnx | Text detection |
| `paddleocr/rec_en_mobile.onnx` | PaddlePaddle/en_PP-OCRv5_mobile_rec_onnx | English recognition |
| `paddleocr/rec_ar_mobile.onnx` | PaddlePaddle/arabic_PP-OCRv5_mobile_rec_onnx | Arabic recognition |
| `paddleocr/en_dict.txt` | English recognizer's `inference.yml` | 436 dictionary entries |
| `paddleocr/ar_dict.txt` | Arabic recognizer's `inference.yml` | 747 dictionary entries |

The ONNX files are renamed from upstream `inference.onnx`. Dictionaries are the
upstream `PostProcess.character_dict` entries joined with LF, with a trailing LF,
encoded as UTF-8. At runtime Falcon prepends the CTC blank class and appends the
space class, giving 438 English and 749 Arabic classes. The dictionaries match
the small dictionaries compiled into Falcon.

`manifest.json` records immutable upstream revisions, file sizes, SHA-256 hashes,
and transformations. Original model cards and configuration files are preserved
in `sources/`. Attribution: PaddlePaddle / PaddleOCR authors; see
[LICENSE.md](LICENSE.md) and [Apache-2.0](licenses/Apache-2.0.txt).
Falcon packaging does not imply endorsement by the original authors.

Use a full release commit SHA in download URLs, for example:

```text
https://huggingface.co/anushkrishna/falcon-ocr-models/resolve/<commit-sha>/paddleocr/det_small.onnx
```

Verify both file size and SHA-256 before loading, and activate the complete
pack together. No HF account or publisher token is needed for public downloads.
Do not follow `main` for application installs. Tested application releases choose
new revisions; uploads here do not automatically update existing installations.

This release contains roughly 25.7 MB of weights plus dictionaries. It excludes
ONNX Runtime, PDF rasterizers, orientation classifiers, layout models, and user
documents. The models have recognition errors, particularly on small text and
digits; this mirror makes no new accuracy claims.