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+---
+comments: true
+---
+
+# 1. Introduction to PP-OCRv5 Multilingual Text Recognition
+
+[PP-OCRv5](./PP-OCRv5.md) is the latest generation text recognition solution in the PP-OCR series, focusing on multi-scenario and multilingual text recognition tasks. In terms of supported text types, the default configuration of the recognition model can accurately identify five major types: Simplified Chinese, Pinyin, Traditional Chinese, English, and Japanese. Additionally, PP-OCRv5 offers multilingual text recognition capabilities covering 106 languages, including Korean, Spanish, French, Portuguese, German, Italian, Russian, Thai, Greek and more (for a full list of supported languages and abbreviations, see [Section 4](#4-supported-languages-and-abbreviations)). Compared to the previous PP-OCRv3 version, PP-OCRv5 achieves over a 30% improvement in accuracy for multilingual text recognition.
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/french_0_res.jpg" alt="French recognition result" width="500"/>
+  <br>
+  <b>French Recognition Result</b>
+</div>
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/german_0_res.png" alt="German recognition result" width="500"/>
+  <br>
+  <b>German Recognition Result</b>
+</div>
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/korean_1_res.jpg" alt="Korean recognition result" width="500"/>
+  <br>
+  <b>Korean Recognition Result</b>
+</div>
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/ru_0.jpeg" alt="Russian recognition result" width="500"/>
+  <br>
+  <b>Russian Recognition Result</b>
+</div>
+
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/th_0_res.jpg" alt="Thai recognition result" width="500"/>
+  <br>
+  <b>Thai recognition result</b>
+</div>
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/el_0_res.jpg" alt="Greek recognition result" width="500"/>
+  <br>
+  <b>Greek recognition result</b>
+</div>
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/ar_0_res.jpg" alt="Arabic OCR Result" width="500"/>
+  <br>
+  <b>Arabic recognition Result</b>
+</div>
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/hi_0_res.jpg" alt="Hindi OCR Result" width="500"/>
+  <br>
+  <b>Hindi recognition Result</b>
+</div>
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/ta_0_rec.jpg" alt="Tamil OCR Result" width="500"/>
+  <br>
+  <b>Tamil recognition Result</b>
+</div>
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/te_0_res.png" alt="Telugu OCR Result" width="500"/>
+  <br>
+  <b>Telugu recognition Result</b>
+</div>
+
+
+## 2. Quick Start
+
+You can specify the language for text recognition by using the `--lang` parameter when running the general OCR pipeline in the command line:
+
+```bash
+# Use the `--lang` parameter to specify the French recognition model
+paddleocr ocr -i https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_ocr_french01.png \
+    --lang fr \
+    --use_doc_orientation_classify False \
+    --use_doc_unwarping False \
+    --use_textline_orientation False \
+    --save_path ./output \
+    --device gpu:0 
+```
+For explanations of the other command-line parameters, please refer to the [Command Line Usage](../../pipeline_usage/OCR.en.md#21-command-line) section of the general OCR pipeline documentation. After running, the results will be displayed in the terminal:
+
+```bash
+{'res': {'input_path': '/root/.paddlex/predict_input/general_ocr_french01.png', 'page_index': None, 'model_settings': {'use_doc_preprocessor': True, 'use_textline_orientation': False}, 'doc_preprocessor_res': {'input_path': None, 'page_index': None, 'model_settings': {'use_doc_orientation_classify': False, 'use_doc_unwarping': False}, 'angle': -1}, 'dt_polys': array([[[119,  23],
+        ...,
+        [118,  75]],
+
+       ...,
+
+       [[109, 506],
+        ...,
+        [108, 556]]], dtype=int16), 'text_det_params': {'limit_side_len': 64, 'limit_type': 'min', 'thresh': 0.3, 'max_side_limit': 4000, 'box_thresh': 0.6, 'unclip_ratio': 1.5}, 'text_type': 'general', 'textline_orientation_angles': array([-1, ..., -1]), 'text_rec_score_thresh': 0.0, 'rec_texts': ['mifere; la profpérité & les fuccès ac-', 'compagnent l’homme induftrieux.', 'Quel eft celui qui a acquis des ri-', 'cheffes, qui eft devenu puiffant, qui', 's’eft couvert de gloire, dont l’éloge', 'retentit par-tout, qui fiege au confeil', "du Roi? C'eft celui qui bannit la pa-", "reffe de fa maifon, & qui a dit à l'oifi-", 'veté : tu es mon ennemie.'], 'rec_scores': array([0.98409832, ..., 0.98091048]), 'rec_polys': array([[[119,  23],
+        ...,
+        [118,  75]],
+
+       ...,
+
+       [[109, 506],
+        ...,
+        [108, 556]]], dtype=int16), 'rec_boxes': array([[118, ...,  81],
+       ...,
+       [108, ..., 562]], dtype=int16)}}
+```
+
+If you specify `save_path`, the visualization results will be saved to the specified path. An example of the visualized result is shown below:
+
+<img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/general_ocr_french01_res.png"/>
+
+
+You can also use Python code to specify the recognition model for a particular language when initializing the general OCR pipeline via the `lang` parameter:
+
+```python
+from paddleocr import PaddleOCR
+
+ocr = PaddleOCR(
+    lang="fr", # Specify French recognition model with the lang parameter
+    use_doc_orientation_classify=False, # Disable document orientation classification model
+    use_doc_unwarping=False, # Disable text image unwarping model
+    use_textline_orientation=False, # Disable text line orientation classification model
+)
+result = ocr.predict("https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_ocr_french01.png")
+for res in result:
+    res.print()
+    res.save_to_img("output")
+    res.save_to_json("output")
+```
+For more details on the `PaddleOCR` class parameters, please refer to the [Python Scripting Integration](../../pipeline_usage/OCR.en.md#22-python-script-integration) section of the general OCR pipeline documentation.
+
+
+## 3. Performance Comparison
+
+| Model | Download Link | Accuracy on the corresponding dataset (%) | Improvement over the previous generation model (%) ｜
+|-|-|-|-|
+| korean_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/korean_PP-OCRv5_mobile_rec_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/korean_PP-OCRv5_mobile_rec_pretrained.pdparams">Pretrained Model</a> | 88.0|  65.0  | 
+| latin_PP-OCRv5_mobile_rec | <a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/latin_PP-OCRv5_mobile_rec_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/latin_PP-OCRv5_mobile_rec_pretrained.pdparams">Pretrained Model</a> | 84.7 | 46.8 |
+| eslav_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/eslav_PP-OCRv5_mobile_rec_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/eslav_PP-OCRv5_mobile_rec_pretrained.pdparams">Pretrained Model</a> | 81.6 | 31.4 | 
+| th_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/th_PP-OCRv5_mobile_rec_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/th_PP-OCRv5_mobile_rec_pretrained.pdparams">Pretrained Model</a> | 82.68 | - |
+| el_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/el_PP-OCRv5_mobile_rec_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/el_PP-OCRv5_mobile_rec_pretrained.pdparams">Pretrained Model</a> | 89.28 | - |
+| en_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/en_PP-OCRv5_mobile_rec_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/en_PP-OCRv5_mobile_rec_pretrained.pdparams">Pretrained Model</a> | 85.25 | 11.0 | 
+| cyrillic_PP-OCRv5_mobile_rec | <a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/cyrillic_PP-OCRv5_mobile_rec_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/cyrillic_PP-OCRv5_mobile_rec_pretrained.pdparams">Trained Model</a> | 80.27 | 21.2 |
+| arabic_PP-OCRv5_mobile_rec | <a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/arabic_PP-OCRv5_mobile_rec_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/arabic_PP-OCRv5_mobile_rec_pretrained.pdparams">Trained Model</a> | 81.27 | 22.83 |
+| devanagari_PP-OCRv5_mobile_rec | <a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/devanagari_PP-OCRv5_mobile_rec_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/devanagari_PP-OCRv5_mobile_rec_pretrained.pdparams">Trained Model</a> | 84.96 | 68.26 |
+| te_PP-OCRv5_mobile_rec | <a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/te_PP-OCRv5_mobile_rec_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/te_PP-OCRv5_mobile_rec_pretrained.pdparams">Trained Model</a> | 87.65 | 43.47 |
+| ta_PP-OCRv5_mobile_rec | <a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ta_PP-OCRv5_mobile_rec_infer.tar">Inference Model</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/ta_PP-OCRv5_mobile_rec_pretrained.pdparams">Trained Model</a> | 94.2 | 39.23 |
+
+ **Notes:**
+ - Korean Dataset: The latest PP-OCRv5 dataset containing 5,007 Korean text images.
+ - Latin Script Language Dataset: The latest PP-OCRv5 dataset containing 3,111 images of Latin script languages.
+ - East Slavic Language Dataset: The latest PP-OCRv5 dataset containing a total of 7,031 text images in Russian, Belarusian, and Ukrainian.
+ - Thai dataset: The latest PP-OCRv5 constructed Thai dataset contains a total of 4,261 text images for recognition.
+ - Greek dataset: The latest PP-OCRv5 constructed Greek dataset contains a total of 2,799 text images for recognition.
+ - English dataset: The latest PP-OCRv5 constructed English dataset contains a total of 6,530 text images for recognition.
+ - Cyrillic Dataset: The latest PP-OCRv5 Cyrillic recognition dataset contains a total of 7,600 text images.
+ - Tamil Dataset: The latest PP-OCRv5 Tamil recognition dataset contains a total of 2,121 text images.
+ - Telugu Dataset: The latest PP-OCRv5 Telugu recognition dataset contains a total of 2,478 text images.
+ - Arabic Dataset: The latest PP-OCRv5 Arabic, Sanskrit, etc. recognition dataset contains a total of 2,676 text images.
+ - Devanagari Dataset: The latest PP-OCRv5 Devanagari recognition dataset contains a total of 3,611 text images.
+
+## 4. Supported Languages and Abbreviations
+
+| Language | Description | Abbreviation | | Language | Description | Abbreviation |
+| --- | --- | --- | ---|--- | --- | --- |
+| Chinese | Chinese & English | ch | | Hungarian | Hungarian | hu |
+| English | English | en | | Serbian (latin) | Serbian (latin) | rs_latin |
+| French | French | fr | | Indonesian | Indonesian | id |
+| German | German | de | | Occitan | Occitan | oc |
+| Japanese | Japanese | japan | | Icelandic | Icelandic | is |
+| Korean | Korean | korean | | Lithuanian | Lithuanian | lt |
+| Traditional Chinese | Chinese Traditional | chinese_cht | | Maori | Maori | mi |
+| Afrikaans | Afrikaans | af | | Malay | Malay | ms |
+| Italian | Italian | it | | Dutch | Dutch | nl |
+| Spanish | Spanish | es | | Norwegian | Norwegian | no |
+| Bosnian | Bosnian | bs | | Polish | Polish | pl |
+| Portuguese | Portuguese | pt | | Slovak | Slovak | sk |
+| Czech | Czech | cs | | Slovenian | Slovenian | sl |
+| Welsh | Welsh | cy | | Albanian | Albanian | sq |
+| Danish | Danish | da | | Swedish | Swedish | sv |
+| Estonian | Estonian | et | | Swahili | Swahili | sw |
+| Irish | Irish | ga | | Tagalog | Tagalog | tl |
+| Croatian | Croatian | hr | | Turkish | Turkish | tr |
+| Uzbek | Uzbek | uz | | Latin | Latin | la |
+| Russian | Russian | ru | | Belarusian | Belarusian | be |
+| Ukrainian | Ukrainian | uk | | Thai | Thai | th | 
+| Greek | Greek | el | | Azerbaijani | Azerbaijani | az |
+| Kurdish | Kurdish | ku | | Latvian | Latvian | lv |
+| Maltese | Maltese | mt | | Pali | Pali | pi |
+| Romanian | Romanian | ro | | Vietnamese | Vietnamese | vi |
+| Finnish | Finnish | fi | | Basque | Basque | eu | 
+| Galician | Galician | gl | | Luxembourgish | Luxembourgish | lb |
+| Romansh | Romansh | rm | | Catalan | Catalan | ca |
+| Quechua | Quechua | qu | | Telugu | Telugu | te |
+| Serbian (Cyrillic) | Serbian (Cyrillic) | rs_cyrillic | | Bulgarian | Bulgarian | bg |
+| Mongolian | Mongolian | mn | | Abkhaz | Abkhaz | ab |
+| Adyghe | Adyghe | ady | | Kabardian | Kabardian | kbd |
+| Avar | Avar | av | | Dargwa | Dargwa | dar |
+| Ingush | Ingush | inh | | Chechen | Chechen | ce |
+| Lak | Lak | lki | | Lezgian | Lezgian | lez |
+| Tabasaran | Tabasaran | tab | | Kazakh | Kazakh | kk |
+| Kyrgyz | Kyrgyz | ky | | Tajik | Tajik | tg |
+| Macedonian | Macedonian | mk | | Tatar | Tatar | tt |
+| Chuvash | Chuvash | cv | | Bashkir | Bashkir | ba |
+| Mari | Mari | mhr | | Moldovan | Moldovan | mo |
+| Udmurt | Udmurt | udm | | Komi | Komi | kv |
+| Ossetian | Ossetian | os | | Buriat | Buriat | bua |
+| Kalmyk | Kalmyk | xal | | Tuvinian | Tuvinian | tyv |
+| Sakha | Sakha | sah | | Karakalpak | Karakalpak | kaa |
+| Arabic | Arabic | ar | | Persian | Persian | fa |
+| Uyghur | Uyghur | ug | | Urdu | Urdu | ur |
+| Pashto | Pashto | ps | | Kurdish | Kurdish | ku |
+| Sindhi | Sindhi | sd | | Balochi | Balochi | bal |
+| Hindi | Hindi | hi | | Marathi | Marathi | mr |
+| Nepali | Nepali | ne | | Bihari | Bihari | bh |
+| Maithili | Maithili | mai | | Old English | Old English | ang |
+| Bhojpuri | Bhojpuri | bho | | Magahi | Magahi | mah |
+| Sadri | Sadri | sck | | Newar | Newar | new |
+| Konkani | Konkani | gom | | Sanskrit | Sanskrit | sa |
+| Haryanvi | Haryanvi | bgc | | Tamil | Tamil | ta |
+
+
+## 5. Models and Their Supported Languages
+
+| Model | Supported Languages |
+|-|-|
+| korean_PP-OCRv5_mobile_rec | Korean, English |
+| latin_PP-OCRv5_mobile_rec | French, German, Afrikaans, Italian, Spanish, Bosnian, Portuguese, Czech, Welsh, Danish, Estonian, Irish, Croatian, Uzbek, Hungarian, Serbian (Latin), Indonesian, Occitan, Icelandic, Lithuanian, Maori, Malay, Dutch, Norwegian, Polish, Slovak, Slovenian, Albanian, Swedish, Swahili, Tagalog, Turkish, Latin, Azerbaijani, Kurdish, Latvian, Maltese, Pali, Romanian, Vietnamese, Finnish, Basque, Galician, Luxembourgish, Romansh, Catalan, Quechua |
+| eslav_PP-OCRv5_mobile_rec | Russian, Belarusian, Ukrainian, English |
+| th_PP-OCRv5_mobile_rec | Thai, English |
+| el_PP-OCRv5_mobile_rec | Greek, English |
+| en_PP-OCRv5_mobile_rec | English |
+| cyrillic_PP-OCRv5_mobile_rec | Russian, Belarusian, Ukrainian, Serbian (Cyrillic), Bulgarian, Mongolian, Abkhazian, Adyghe, Kabardian, Avar, Dargin, Ingush, Chechen, Lak, Lezgin, Tabasaran, Kazakh, Kyrgyz, Tajik, Macedonian, Tatar, Chuvash, Bashkir, Malian, Moldovan, Udmurt, Komi, Ossetian, Buryat, Kalmyk, Tuvan, Sakha, Karakalpak, English |
+| arabic_PP-OCRv5_mobile_rec | Arabic, Persian, Uyghur, Urdu, Pashto, Kurdish, Sindhi, Balochi, English |
+| devanagari_PP-OCRv5_mobile_rec | Hindi, Marathi, Nepali, Bihari, Maithili, Angika, Bhojpuri, Magahi, Santali, Newari, Konkani, Sanskrit, Haryanvi, English |
+| ta_PP-OCRv5_mobile_rec | Tamil, English |
+| te_PP-OCRv5_mobile_rec | Telugu, English |
+
+**note:** `en_PP-OCRv5_mobile_rec` is an optimized version based on the `PP-OCRv5` model, specifically fine-tuned for English scenarios. It demonstrates higher recognition accuracy and better adaptability when processing English text.
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+---
+comments: true
+---
+
+# 一、PP-OCRv5多语种文字识别介绍
+
+
+[PP-OCRv5](./PP-OCRv5.md) 是 PP-OCR 系列的最新一代文字识别解决方案，专注于多场景、多语种的文字识别任务。在文字类型支持方面，默认配置的识别模型可准确识别简体中文、中文拼音、繁体中文、英文和日文这五大主流文字类型。同时，PP-OCRv5还提供了覆盖106种语言的多语种文字识别能力，包括韩文、西班牙文、法文、葡萄牙文、德文、意大利文、俄罗斯文、泰文、希腊文等（具体支持语种及缩写详见[第四节](#_3)）。相较于前代 PP-OCRv3 版本，PP-OCRv5 在多语言文字识别准确率上实现了超过30%的提升。
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/french_0_res.jpg" alt="法文识别结" width="500"/>
+  <br>
+  <b>法文识别结果</b>
+</div>
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/german_0_res.png" alt="德文识别结果" width="500"/>
+  <br>
+  <b>德文识别结果</b>
+</div>
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/korean_1_res.jpg" alt="韩文识别结果" width="500"/>
+  <br>
+  <b>韩文识别结果</b>
+</div>
+
+<br>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/ru_0.jpeg" alt="俄文识别结果" width="500"/>
+  <br>
+  <b>俄文识别结果</b>
+</div>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/th_0_res.jpg" alt="泰文识别结果" width="500"/>
+  <br>
+  <b>泰文识别结果</b>
+</div>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/el_0_res.jpg" alt="希腊文识别结果" width="500"/>
+  <br>
+  <b>希腊文识别结果</b>
+</div>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/ar_0_res.jpg" alt="阿拉伯文文识别结果" width="500"/>
+  <br>
+  <b>阿拉伯文识别结果</b>
+</div>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/hi_0_res.jpg" alt="印地文识别结果" width="500"/>
+  <br>
+  <b>印地文识别结果</b>
+</div>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/ta_0_rec.jpg" alt="泰米尔文识别结果" width="500"/>
+  <br>
+  <b>泰米尔文识别结果</b>
+</div>
+
+<div align="center">
+  <img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/te_0_res.png" alt="泰卢固文识别结果" width="500"/>
+  <br>
+  <b>泰卢固文识别结果</b>
+</div>
+
+## 二、快速使用
+
+您可以通过在命令行中使用 `--lang` 参数，来使用指定语种的文本识别模型进行通用 OCR 产线的推理：
+
+```bash
+# 通过 `--lang` 参数指定使用法语的识别模型
+paddleocr ocr -i https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_ocr_french01.png \
+    --lang fr \
+    --use_doc_orientation_classify False \
+    --use_doc_unwarping False \
+    --use_textline_orientation False \
+    --save_path ./output \
+    --device gpu:0 
+```
+上述命令行的其他参数说明请参考通用 OCR 产线的[命令行使用方式](../../pipeline_usage/OCR.md#21), 运行后结果会被打印到终端上：
+
+```bash
+{'res': {'input_path': '/root/.paddlex/predict_input/general_ocr_french01.png', 'page_index': None, 'model_settings': {'use_doc_preprocessor': True, 'use_textline_orientation': False}, 'doc_preprocessor_res': {'input_path': None, 'page_index': None, 'model_settings': {'use_doc_orientation_classify': False, 'use_doc_unwarping': False}, 'angle': -1}, 'dt_polys': array([[[119,  23],
+        ...,
+        [118,  75]],
+
+       ...,
+
+       [[109, 506],
+        ...,
+        [108, 556]]], dtype=int16), 'text_det_params': {'limit_side_len': 64, 'limit_type': 'min', 'thresh': 0.3, 'max_side_limit': 4000, 'box_thresh': 0.6, 'unclip_ratio': 1.5}, 'text_type': 'general', 'textline_orientation_angles': array([-1, ..., -1]), 'text_rec_score_thresh': 0.0, 'rec_texts': ['mifere; la profpérité & les fuccès ac-', 'compagnent l’homme induftrieux.', 'Quel eft celui qui a acquis des ri-', 'cheffes, qui eft devenu puiffant, qui', 's’eft couvert de gloire, dont l’éloge', 'retentit par-tout, qui fiege au confeil', "du Roi? C'eft celui qui bannit la pa-", "reffe de fa maifon, & qui a dit à l'oifi-", 'veté : tu es mon ennemie.'], 'rec_scores': array([0.98409832, ..., 0.98091048]), 'rec_polys': array([[[119,  23],
+        ...,
+        [118,  75]],
+
+       ...,
+
+       [[109, 506],
+        ...,
+        [108, 556]]], dtype=int16), 'rec_boxes': array([[118, ...,  81],
+       ...,
+       [108, ..., 562]], dtype=int16)}}
+```
+
+若指定了`save_path`，则会保存可视化结果在`save_path`下。可视化结果如下：
+
+<img src="https://raw.githubusercontent.com/cuicheng01/PaddleX_doc_images/refs/heads/main/images/pipelines/ocr/general_ocr_french01_res.png"/>
+
+
+您也可以使用 Python 代码，在通用 OCR 产线初始化时，通过 `lang` 参数来使用指定语种的识别模型：
+
+```python
+from paddleocr import PaddleOCR
+
+ocr = PaddleOCR(
+    lang="fr" # 通过 lang 参数指定使用法语的识别模型
+    use_doc_orientation_classify=False, # 通过 use_doc_orientation_classify 参数指定不使用文档方向分类模型
+    use_doc_unwarping=False, # 通过 use_doc_unwarping 参数指定不使用文本图像矫正模型
+    use_textline_orientation=False, # 通过 use_textline_orientation 参数指定不使用文本行方向分类模型
+)
+result = ocr.predict("https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/general_ocr_french01.png")
+for res in result:
+    res.print()
+    res.save_to_img("output")
+    res.save_to_json("output")
+```
+更过关于 `PaddleOCR` 类参数的说明参考通用 OCR 产线的[脚本方式集成](../../pipeline_usage/OCR.md#22-python)。
+
+
+## 三、指标对比
+
+| 模型 | 模型下载链接 | 对应数据集精度（%） | 相比前代模型提升幅度 (%) |
+|-|-|-|-|
+| korean_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/korean_PP-OCRv5_mobile_rec_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/korean_PP-OCRv5_mobile_rec_pretrained.pdparams">训练模型</a> | 88.0| 65.0 |
+| latin_PP-OCRv5_mobile_rec | <a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/latin_PP-OCRv5_mobile_rec_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/latin_PP-OCRv5_mobile_rec_pretrained.pdparams">训练模型</a> | 84.7 | 46.8 |
+| eslav_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/eslav_PP-OCRv5_mobile_rec_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/eslav_PP-OCRv5_mobile_rec_pretrained.pdparams">训练模型</a> | 81.6 | 31.4 | 
+| th_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/th_PP-OCRv5_mobile_rec_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/th_PP-OCRv5_mobile_rec_pretrained.pdparams">训练模型</a> | 82.68 | - |
+| el_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/el_PP-OCRv5_mobile_rec_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/el_PP-OCRv5_mobile_rec_pretrained.pdparams">训练模型</a> | 89.28 | - | 
+| en_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/en_PP-OCRv5_mobile_rec_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/en_PP-OCRv5_mobile_rec_pretrained.pdparams">训练模型</a> | 85.25 | 11.0 | 
+| cyrillic_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/cyrillic_PP-OCRv5_mobile_rec_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/cyrillic_PP-OCRv5_mobile_rec_pretrained.pdparams">训练模型</a> | 80.27 | 21.2 | 
+| arabic_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/arabic_PP-OCRv5_mobile_rec_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/arabic_PP-OCRv5_mobile_rec_pretrained.pdparams">训练模型</a> | 81.27 | 22.83 |
+| devanagari_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/devanagari_PP-OCRv5_mobile_rec_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/devanagari_PP-OCRv5_mobile_rec_pretrained.pdparams">训练模型</a> | 84.96 | 68.26 |
+| te_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/te_PP-OCRv5_mobile_rec_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/te_PP-OCRv5_mobile_rec_pretrained.pdparams">训练模型</a> | 87.65 | 43.47 |
+| ta_PP-OCRv5_mobile_rec |<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0.0/ta_PP-OCRv5_mobile_rec_infer.tar">推理模型</a>/<a href="https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/ta_PP-OCRv5_mobile_rec_pretrained.pdparams">训练模型</a> | 94.2 | 39.23 |
+
+ **注：**
+ - 韩语数据集：PP-OCRv5 最新构建的包含了 5007 张韩语文本图片的识别数据集。
+ - 拉丁字母语言数据集：PP-OCRv5 最新构建的包含了 3111 张拉丁字母语言的文本图片识别数据集。
+ - 东斯拉夫语言数据集：PP-OCRv5 最新构建的包含了俄语、 白俄罗斯语和乌克兰语共计 7031 张文本图片的识别数据集。
+ - 泰文数据集：PP-OCRv5 最新构建的泰文共计 4261 张文本图片的识别数据集。
+ - 希腊文数据集：PP-OCRv5 最新构建的希腊文共计 2799 张文本图片的识别数据集。
+ - 英文数据集：PP-OCRv5 最新构建的英文共计 6530 张文本图片的识别数据集。
+ - 西里尔语数据集：PP-OCRv5 最新构建的西里尔文共计 7600 张文本图片的识别数据集。
+ - 泰米尔语数据集：PP-OCRv5 最新构建的泰米尔语共计 2121 张文本图片的识别数据集。
+ - 泰卢固语数据集：PP-OCRv5 最新构建的泰卢固语共计 2478 张文本图片的识别数据集。
+ - 阿拉伯语数据集：PP-OCRv5 最新构建的阿拉伯、梵语等共计 2676 张文本图片的识别数据集。
+ - 天城文数据集：PP-OCRv5 最新构建的天城文共计 3611 张文本图片的识别数据集。
+
+## 四、 支持语种及缩写
+
+| 语种 | 描述 | 缩写 | | 语种 | 描述 | 缩写 |
+| --- | --- | --- | ---|--- | --- | --- |
+| 中文 | Chinese & English | ch | | 匈牙利文 | Hungarian | hu |
+| 英文 | English | en | | 塞尔维亚文（latin） | Serbian(latin) | rs_latin |
+| 法文 | French | fr | | 印度尼西亚文 | Indonesian | id |
+| 德文 | German | de | | 欧西坦文 | Occitan | oc |
+| 日文 | Japanese | japan | | 冰岛文 | Icelandic | is |
+| 韩文 | Korean | korean | | 立陶宛文 | Lithuanian | lt |
+| 中文繁体 | Chinese Traditional | chinese_cht | | 毛利文 | Maori | mi |
+| 南非荷兰文 | Afrikaans | af | | 马来文 | Malay | ms |
+| 意大利文 | Italian | it | | 荷兰文 | Dutch | nl |
+| 西班牙文 | Spanish | es | | 挪威文 | Norwegian | no |
+| 波斯尼亚文 | Bosnian | bs | | 波兰文 | Polish | pl |
+| 葡萄牙文 | Portuguese | pt | | 斯洛伐克文 | Slovak | sk |
+| 捷克文 | Czech | cs | | 斯洛文尼亚文 | Slovenian | sl |
+| 威尔士文 | Welsh | cy | | 阿尔巴尼亚文 | Albanian | sq |
+| 丹麦文 | Danish | da | | 瑞典文 | Swedish | sv |
+| 爱沙尼亚文 | Estonian | et | | 西瓦希里文 | Swahili | sw |
+| 爱尔兰文 | Irish | ga | | 塔加洛文 | Tagalog | tl |
+| 克罗地亚文 | Croatian | hr | | 土耳其文 | Turkish | tr |
+| 乌兹别克文 | Uzbek | uz | | 拉丁文 | Latin | la |
+| 俄罗斯文 | Russian | ru | | 白俄罗斯文 | Belarusian | be |
+| 乌克兰文 | Ukranian | uk |  | 泰文 | Thai | th | 
+| 希腊文 | Greek | el | | 阿塞拜疆文 | Azerbaijani | az |
+| 库尔德文 | Kurdish | ku | |拉脱维亚文 | Latvian|lv |
+| 马耳他文 | Maltese | mt | |巴利文 | Pali| pi |
+|罗马尼亚文 | Romanian | ro | |越南文 | Vietnamese| vi |
+| 芬兰文 | Finnish | fi | | 巴斯克文 | Basque | eu | 
+| 加利西亚文| Galician | gl | | 卢森堡文 | Luxembourgish | lb |
+| 罗曼什文 | Romansh | rm | | 加泰罗尼亚文 | Catalan | ca |
+| 克丘亚文 | Quechua |qu | | 泰卢固文 |Telugu |te |
+| 塞尔维亚语（西里尔字母） | Serbian (Cyrillic) | rs_cyrillic | | 保加利亚文 | Bulgarian | bg |
+| 蒙古文 | Mongolian | mn | | 阿布哈兹文 | Abkhaz | ab |
+| 阿迪赫文 | Adyghe | ady | | 卡巴尔达文 | Kabardian | kbd |
+| 阿瓦尔文 | Avar | av | | 达尔格瓦文 | Dargwa | dar |
+| 印古什文 | Ingush | inh | | 车臣文 | Chechen | ce |
+| 拉克文 | Lak | lki | | 列兹金文 | Lezgian | lez |
+| 塔巴萨兰文 | Tabasaran | tab | | 哈萨克文 | Kazakh | kk |
+| 吉尔吉斯文 | Kyrgyz | ky | | 塔吉克文 | Tajik | tg |
+| 马其顿文 | Macedonian | mk | | 鞑靼文 | Tatar | tt |
+| 楚瓦什文 | Chuvash | cv | | 巴什基尔文 | Bashkir | ba |
+| 马里文 | Mari | mhr | | 莫尔多瓦文 | Moldovan | mo |
+| 乌德穆尔特文 | Udmurt | udm | | 科米文 | Komi | kv |
+| 奥塞梯文 | Ossetian | os | | 布里亚特文 | Buriat | bua |
+| 卡尔梅克文 | Kalmyk | xal | | 图瓦文 | Tuvinian | tyv |
+| 萨哈文 | Sakha | sah | | 卡拉卡尔帕克语 | Karakalpak | kaa |
+| 阿拉伯文 | Arabic | ar | | 波斯文 | Persian | fa |
+| 维吾尔文 | Uyghur | ug | | 乌尔都文 | Urdu | ur |
+| 普什图文 | Pashto | ps | | 库尔德文 | Kurdish | ku |
+| 信德文 | Sindhi | sd | | 俾路支文 | Balochi | bal |
+| 印地文 | Hindi | hi | | 马拉地文 | Marathi | mr |
+| 尼泊尔文 | Nepali | ne | | 比哈尔文 | Bihari | bh |
+| 迈蒂利文 | Maithili | mai | | 古英文 | Old English | ang |
+| 博杰普尔文 | Bhojpuri | bho | | 马加希文 | Magahi | mah |
+| 萨达里文 | Sadri | sck | | 尼瓦尔文 | Newar | new |
+| 孔卡尼文 | Konkani | gom | | 梵文 | Sanskrit | sa |
+| 哈里亚纳文 | Haryanvi | bgc | | 泰米尔语 | Tamil | ta |
+
+## 五、模型及其支持的语种
+
+| 模型 | 支持语种 |
+|-|-|
+| PP-OCRv5_server_rec | 简体中文、繁体中文、英文、日文  |
+| PP-OCRv5_mobile_rec | 简体中文、繁体中文、英文、日文 |
+| korean_PP-OCRv5_mobile_rec | 韩文、英文 |
+| latin_PP-OCRv5_mobile_rec |法文、德文、南非荷兰文、意大利文、西班牙文、波斯尼亚文、葡萄牙文、捷克文、威尔士文、丹麦文、爱沙尼亚文、爱尔兰文、克罗地亚文、乌兹别克文、匈牙利文、塞尔维亚文（latin）、印度尼西亚文、欧西坦文、冰岛文、立陶宛文、毛利文、马来文、荷兰文、挪威文、波兰文、斯洛伐克文、斯洛文尼亚文、阿尔巴尼亚文、瑞典文、西瓦希里文、塔加洛文、土耳其文、拉丁文、阿塞拜疆文、库尔德文、拉脱维亚文、马耳他文、巴利文、罗马尼亚文、越南文、芬兰文、巴斯克文、加利西亚文、卢森堡文、罗曼什文、加泰罗尼亚文、克丘亚文|
+| eslav_PP-OCRv5_mobile_rec | 俄罗斯文、白俄罗斯文、乌克兰文、英文 |
+| th_PP-OCRv5_mobile_rec | 泰文、英文 |
+| el_PP-OCRv5_mobile_rec | 希腊文、英文 |
+| en_PP-OCRv5_mobile_rec | 英文 |
+| cyrillic_PP-OCRv5_mobile_rec | 俄罗斯文、白俄罗斯文、乌克兰文、塞尔维亚文（cyrillic）、保加利亚文、蒙古文、阿布哈兹文、阿迪赫文、卡巴尔达文、阿瓦尔文、达尔格瓦文、印古什文、车臣文、拉克文、列兹金文、塔巴萨兰文、哈萨克文、吉尔吉斯文、塔吉克文、马其顿文、鞑靼文、楚瓦什文、巴什基尔文、马里文、莫尔多瓦文、乌德穆尔特文、科米文、奥塞梯文、布里亚特文、卡尔梅克文、图瓦文、萨哈文、卡拉卡尔帕克文、英文 | 
+| arabic_PP-OCRv5_mobile_rec | 阿拉伯文、波斯文、维吾尔文、乌尔都文、普什图文、库尔德文、信德文、俾路支文、英文|
+| devanagari_PP-OCRv5_mobile_rec | 印地文，马拉地文，尼泊尔文，比哈尔文，迈蒂利文，古英文，博杰普尔文，马加希文，萨达里文，尼瓦尔文，孔卡尼文，梵文，哈里亚纳文、英文 |
+| ta_PP-OCRv5_mobile_rec | 泰米尔文、英文 |
+| te_PP-OCRv5_mobile_rec| 泰卢固文、英文 |
+
+
+**注：** `en_PP-OCRv5_mobile_rec` 是在 `PP-OCRv5` 模型基础上，针对英文场景进行了定向优化，在处理英文文本时表现出更高的识别精度和更强的场景适应能力。