---
license: apache-2.0
tags:
- ocr
- ncnn
- pp-ocrv5
- pp-ocrv6
- text-recognition
library_name: ncnn
---

# PP-OCR NCNN models

NCNN-converted PP-OCRv5 mobile multilingual recognition models, plus bundled PP-OCRv6 tiny/small/medium models from the PaddleOCR-ncnn-CPP archive.

## Included

### PP-OCRv5 multilingual rec models

Language-specific recognition models:
`arabic`, `cyrillic`, `devanagari`, `el`, `en`, `eslav`, `korean`, `latin`, `ta`, `te`, `th`

Files:
- `{lang}_PP-OCRv5_mobile_rec.param`
- `{lang}_PP-OCRv5_mobile_rec.bin`
- `ppocr_keys_{lang}.txt`
- `configs/config_ppocrv5_{lang}.json`

### PP-OCRv6 bundled models

Bundled from the `PaddleOCR-ncnn-CPP` release archive:
- `PP_OCRv6_tiny_det/rec`
- `PP_OCRv6_small_det/rec`
- `PP_OCRv6_medium_det/rec`
- `ppocr_keys_v6.txt`
- `ppocr_keys_v6_tiny.txt`
- sample configs under `configs/`

Notes:
- `PP-OCRv6_tiny` does not support Japanese.
- For Japanese, use `PP_OCRv6_small` or `PP_OCRv6_medium`.
- For Tamil / Telugu / Arabic / Devanagari / Thai / Greek / Korean multilingual work, prefer the dedicated PP-OCRv5 language-specific rec models included here.

## Source

- PP-OCRv5 language-specific ONNX models: `PaddlePaddle/{lang}_PP-OCRv5_mobile_rec_onnx`
- PP-OCRv6 bundled assets: `Avafly/PaddleOCR-ncnn-CPP` release archive

## Conversion details

PP-OCRv5 ONNX models were converted via `pnnx` with:
- `inputshape=[1,3,48,320]`
- `inputshape2=[1,3,48,640]`
- `fp16=0`

Blob names were patched for PaddleOCR-ncnn-CPP compatibility: `in0`/`out0` -> `input`/`output`.