├── .gitignore ├── LICENSE ├── README.md ├── img ├── demo_ocr_cn.gif ├── demo_ocr_en.gif ├── demo_trans.gif ├── env_button.png ├── env_value.png ├── file_ocr.png ├── first_lang_selection.png ├── icon.png ├── jetbrains_logo.png ├── ocr_abuse.png └── second_lang_selection.png └── src ├── config.py ├── error_declare.py ├── img_to_b64.py ├── ocr.py ├── pngpaste ├── LICENSE └── pngpaste ├── requirements.txt ├── tencent_ocr.py └── translate.py /.gitignore: -------------------------------------------------------------------------------- 1 | debug 2 | README-EN.md -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU AFFERO GENERAL PUBLIC LICENSE 2 | Version 3, 19 November 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU Affero General Public License is a free, copyleft license for 11 | software and other kinds of works, specifically designed to ensure 12 | cooperation with the community in the case of network server software. 13 | 14 | The licenses for most software and other practical works are designed 15 | to take away your freedom to share and change the works. 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It is safest 628 | to attach them to the start of each source file to most effectively 629 | state the exclusion of warranty; and each file should have at least 630 | the "copyright" line and a pointer to where the full notice is found. 631 | 632 | 633 | Copyright (C) 634 | 635 | This program is free software: you can redistribute it and/or modify 636 | it under the terms of the GNU Affero General Public License as published 637 | by the Free Software Foundation, either version 3 of the License, or 638 | (at your option) any later version. 639 | 640 | This program is distributed in the hope that it will be useful, 641 | but WITHOUT ANY WARRANTY; without even the implied warranty of 642 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 643 | GNU Affero General Public License for more details. 644 | 645 | You should have received a copy of the GNU Affero General Public License 646 | along with this program. If not, see . 647 | 648 | Also add information on how to contact you by electronic and paper mail. 649 | 650 | If your software can interact with users remotely through a computer 651 | network, you should also make sure that it provides a way for users to 652 | get its source. For example, if your program is a web application, its 653 | interface could display a "Source" link that leads users to an archive 654 | of the code. There are many ways you could offer source, and different 655 | solutions will be better for different programs; see section 13 for the 656 | specific requirements. 657 | 658 | You should also get your employer (if you work as a programmer) or school, 659 | if any, to sign a "copyright disclaimer" for the program, if necessary. 660 | For more information on this, and how to apply and follow the GNU AGPL, see 661 | . 662 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Alfred - OCR and Translation 2 | 3 | ## 下载地址 4 | 5 | [Github](https://github.com/Chandler-Lu/alfred-ocr/releases) | [Quicker (Windows)](https://getquicker.net/Sharedaction?code=f73ca43a-98c6-475d-a3cc-08d7c216a695) 6 | 7 | ## OCR Demo 8 | 9 | ![Demo_OCR][image-1] 10 | 11 | ## Translate Demo 12 | 13 | ![Demo_Trans][image-2] 14 | 15 | ## 版本 16 | 17 | ### 4.9.5 18 | 19 | - 同步 macOS Alfred 版本； 20 | - 优化代码； 21 | - 修复百度表格识别。 22 | 23 | ### 4.9.2 24 | 25 | - 支持 CNOCR 基于 FastAPI 的 HTTP [服务模式](https://github.com/breezedeus/cnocr#http%E6%9C%8D%E5%8A%A1)，您可以使用[此方法](https://github.com/Chandler-Lu/alfred-ocr/wiki/Q&A#启用-cnocr-的-fastapi-服务模式-windows)注册 Windows 服务。 26 | 27 | ### 近期更新 28 | 29 | - 百度 OCR 更换接口参数，已修复； 30 | - 支持 Mathpix 公式识别； 31 | - 删除腾讯优图接口，新增腾讯云文字识别接口（正式版）; 32 | - 由于可选识别方式过多，CNOCR 的触发方式修改为唯一触发词 `ooc (CNOCR)`。 33 | 34 | ## 能力 35 | 36 | - 离线 OCR (CNOCR) 37 | - 通用 OCR (百度 | 腾讯 | Google) 38 | - 二维码识别 (百度 | ZXing) 39 | - 表格文字识别 (百度) 40 | - 数学公式识别 (百度 | Mathpix) 41 | - 多文件识别 (百度) 42 | - 文本翻译 (彩云小译) 43 | 44 | ## 使用（必看！！） 45 | 46 | 1. 这**不是**一个开箱即用的产品！ 47 | 2. 您至少要拥有 macOS Alfred 3 及以上版本并激活 Powerpack。 48 | 3. 您需要安装 Python 3 及相应的依赖模块，并将 Python 3 路径填写在`PYTHON_PATH`处。 49 | 4. 您需要申请并将对应接口的配置填入环境变量，部分接口附带我自己的 Key，但严禁滥用。 50 | 5. 具体配置方法请移步 [安装方式][4]。 51 | 52 | ## 依赖 53 | 54 | ### 通用 OCR 55 | 56 | ```bash 57 | pip install requests==2.31.0 58 | ``` 59 | 60 | ### CNOCR (离线 OCR) 61 | 62 | ```bash 63 | pip install cnocr[ort-cpu]==2.3 64 | pip install cnocr[serve]==2.3 # 针对 FastAPI 服务模式 65 | ``` 66 | 67 | ### ZXing (离线二维码识别) 68 | 69 | ```bash 70 | pip install zxing==1.0.1 71 | ``` 72 | 73 | ## 接口 74 | 75 | ### [CNOCR][5] 76 | 77 | #### 触发 78 | 79 | - 截图至剪贴板后使用关键词 `ooc` 触发。 80 | 81 | #### 说明 82 | 83 | - 一切安装方法请依据该项目 [README][6]。 84 | 85 | ### [Baidu AI (百度)][7] 86 | 87 | #### 触发 88 | 89 | 1. 通用 OCR：快捷键 ctrl+v 触发截图选框，或截图至剪贴板后使用关键词 `oob (baidu)` 触发； 90 | 2. 二维码识别：截图后使用关键词 `ooqb (qr baidu)` 触发； 91 | 3. 表格文字识别：截图后使用关键词 `ooe (excel)` 触发，识别后可直接复制至 Excel； 92 | 4. 多文件识别：finder 中选中需要识别的图片并使用关键词 `oof (file)` 触发。 93 | 94 | ![File_OCR][image-3] 95 | 96 | #### 说明 97 | 98 | 1. 具备中英文识别，标点符号将被替换为对应语言下的符号； 99 | 2. 二维码识别支持同时识别多个； 100 | 3. 自带一个测试 Token，不保证可用性，需要稳定可自行申请； 101 | 4. 最大支持单个 4MB 的图片。 102 | 103 | #### 自定义语种 104 | 105 | > 目前仅通用 OCR 支持选择语言 106 | 107 | 语种选择逻辑： 108 | 109 | 1. ctrl+v 或关键词 `oob` 触发时，将选择环境变量中的 `baidu_language_type` 来定义语种。如果该值为空，则定义为默认值 `CHN_ENG`，即中英文混合识别； 110 | 2. 当使用 `oob` 调出选择菜单，并按住 command 触发时，将使用第二语言识别。 111 | 112 | 第一语言选择位置： 113 | 114 | ![First_Lang_Select][image-4] 115 | 116 | 第二语言选择位置： 117 | 118 | ![Second_Lang_Select][image-5] 119 | 120 |
121 | 支持的全部语种及其语种代码如下所示： 122 | 123 | ``` 124 | - CHN_ENG：中英文混合 125 | - ENG：英文 126 | - JAP：日语 127 | - KOR：韩语 128 | - FRE：法语 129 | - SPA：西班牙语 130 | - POR：葡萄牙语 131 | - GER：德语 132 | - ITA：意大利语 133 | - RUS：俄语 134 | ``` 135 | 136 |
137 | 138 | ### [Tencent (腾讯)][8] 139 | 140 | #### 触发 141 | 142 | - 通用 OCR：截图至剪贴板后使用关键词 `oot (tencent)` 触发。 143 | 144 | #### 说明 145 | 146 | 1. 自带一个测试 Token，不保证可用性，需要稳定可自行申请； 147 | 2. 最大支持 3MB 的图片。 148 | 149 | ### [Google OCR][9] 150 | 151 | #### 触发 152 | 153 | - 通用 OCR：截图至剪贴板后使用关键词 `oog (google)` 触发。 154 | 155 | #### 环境变量 156 | 157 | | 变量名 | 字段说明 | 158 | | ------------------- | ------------------------------------------------ | 159 | | google_access_token | 授权密钥 | 160 | | google_post_referer | HTTP 请求时的 Referer 参数，默认为空 | 161 | | google_http_proxy | HTTP 代理，默认为空，填写方式如 `127.0.0.1:1234` | 162 | 163 | #### 说明 164 | 165 | - Google OCR 为收费业务，需绑定信用卡，故本项目不带测试 Token，需要自行申请。 166 | 167 | ### [Mathpix](https://mathpix.com) 168 | 169 | #### 触发 170 | 171 | - 公式识别：截图至剪贴板后使用关键词 `oom (mathpix)` 触发。 172 | 173 | #### 说明 174 | 175 | - Mathpix 为收费业务，需绑定信用卡，故本项目不带测试 Token，需要自行[申请](https://accounts.mathpix.com/ocr-api)。 176 | 177 | ### [ZXing][10] 178 | 179 | #### 触发 180 | 181 | - 截图至剪贴板后使用关键词 `ooq` 触发。 182 | 183 | #### 说明 184 | 185 | 1. 一切安装方法请依据该项目 [README][11]; 186 | 2. 仅支持单个二维码识别。 187 | 188 | ### [彩云小译][12] 189 | 190 | #### 触发 191 | 192 | - 文本翻译：使用关键词 `tc (translate caiyun) + 需要翻译的内容` 来触发；输出结果可通过 `command + c` 复制。 193 | 194 | #### 说明 195 | 196 | 1. 自带一个测试 Token，不保证可用性，需要稳定可自行申请； 197 | 2. 支持中译英，及 X 译中(X 为彩云小译已经支持的语言类别)。 198 | 199 | ## TODO 200 | 201 | - 段落优化 202 | - 截图翻译 203 | 204 | ### 项目 205 | 206 | 1. [breezedeus/cnocr][13] 207 | 2. [dlenski/python-zxing][14] 208 | 3. [ginfuru/alfred-screen-capture][15] 209 | 4. [oott123/alfred-clipboard-ocr][16] 210 | 211 | ### 用户 212 | 213 | 感谢以下小伙伴帮助测试： 214 | 215 | 1. [Elvis Cai][17] 216 | 2. [LucasZhan](https://github.com/LucasZhan) 217 | 218 | [4]: https://www.yeslu.cn/archives/7fe802d0.html 219 | [5]: https://github.com/breezedeus/cnocr 220 | [6]: https://github.com/breezedeus/cnocr/blob/master/README.md 221 | [7]: https://ai.baidu.com/tech/ocr 222 | [8]: https://console.cloud.tencent.com/ocr/overview 223 | [9]: https://cloud.google.com/vision/docs/ocr 224 | [10]: https://github.com/dlenski/python-zxing 225 | [11]: https://github.com/dlenski/python-zxing/blob/master/README.md 226 | [12]: https://fanyi.caiyunapp.com/#/api 227 | [13]: https://github.com/breezedeus/cnocr 228 | [14]: https://github.com/dlenski/python-zxing 229 | [15]: https://github.com/ginfuru/alfred-screen-capture 230 | [16]: https://github.com/oott123/alfred-clipboard-ocr 231 | [17]: https://github.com/elviscai 232 | [image-1]: img/demo_ocr_cn.gif 233 | [image-2]: img/demo_trans.gif 234 | [image-3]: img/file_ocr.png 235 | [image-4]: img/first_lang_selection.png 236 | [image-5]: img/second_lang_selection.png 237 | [image-6]: img/jetbrains_logo.png 238 | [image-7]: img/ocr_abuse.png 239 | -------------------------------------------------------------------------------- /img/demo_ocr_cn.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/img/demo_ocr_cn.gif -------------------------------------------------------------------------------- /img/demo_ocr_en.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/img/demo_ocr_en.gif -------------------------------------------------------------------------------- /img/demo_trans.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/img/demo_trans.gif -------------------------------------------------------------------------------- /img/env_button.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/img/env_button.png -------------------------------------------------------------------------------- /img/env_value.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/img/env_value.png -------------------------------------------------------------------------------- /img/file_ocr.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/img/file_ocr.png -------------------------------------------------------------------------------- /img/first_lang_selection.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/img/first_lang_selection.png -------------------------------------------------------------------------------- /img/icon.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/img/icon.png -------------------------------------------------------------------------------- /img/jetbrains_logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/img/jetbrains_logo.png -------------------------------------------------------------------------------- /img/ocr_abuse.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/img/ocr_abuse.png -------------------------------------------------------------------------------- /img/second_lang_selection.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/img/second_lang_selection.png -------------------------------------------------------------------------------- /src/config.py: -------------------------------------------------------------------------------- 1 | ''' 2 | @Description: Capture than OCR - Variable 3 | @Author: Chandler Lu 4 | @Date: 2020-03-09 20:32:15 5 | LastEditTime: 2024-03-17 14:42:26 6 | ''' 7 | # -*- coding: UTF-8 -*- 8 | import platform 9 | import os 10 | sysstr = platform.system() 11 | 12 | if (sysstr == 'Windows'): 13 | # Key - Quicker 14 | BAIDU_API_KEY = '' 15 | BAIDU_SECRET_KEY = '' 16 | TENCENT_SECRET_ID = '' 17 | TENCENT_SECRET_KEY = '' 18 | GOOGLE_ACCESS_TOKEN = '' 19 | GOOGLE_POST_REFERER = '' 20 | GOOGLE_HTTP_PROXY = '' 21 | CAIYUN_TRANSLATE_TOKEN = '' 22 | MATHPIX_APP_ID = '' 23 | MATHPIX_APP_KEY = '' 24 | else: 25 | # Key - Alfred 26 | BAIDU_API_KEY = os.environ['baidu_api_key'] 27 | BAIDU_SECRET_KEY = os.environ['baidu_secret_key'] 28 | TENCENT_SECRET_ID = os.environ['tencent_secret_id'] 29 | TENCENT_SECRET_KEY = os.environ['tencent_secret_key'] 30 | GOOGLE_ACCESS_TOKEN = os.environ['google_access_token'] 31 | GOOGLE_POST_REFERER = os.environ['google_post_referer'] 32 | GOOGLE_HTTP_PROXY = os.environ['google_http_proxy'] 33 | CAIYUN_TRANSLATE_TOKEN = os.environ['caiyun_token'] 34 | MATHPIX_APP_ID = os.environ['mathpix_app_id'] 35 | MATHPIX_APP_KEY = os.environ['mathpix_app_key'] 36 | 37 | # API 38 | BAIDU_GET_TOKEN_URL = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=' + \ 39 | BAIDU_API_KEY + '&client_secret=' + BAIDU_SECRET_KEY 40 | BAIDU_OCR_API = 'https://aip.baidubce.com/rest/2.0/ocr/v1/general' 41 | BAIDU_QRCODE_API = 'https://aip.baidubce.com/rest/2.0/ocr/v1/qrcode' 42 | BAIDU_TABLE_API = 'https://aip.baidubce.com/rest/2.0/ocr/v1/table' 43 | BAIDU_FORMULA_API = 'https://aip.baidubce.com/rest/2.0/ocr/v1/formula' 44 | GOOGLE_OCR_API = 'https://vision.googleapis.com/v1/images:annotate' 45 | CAIYUN_TRANSLATE_API = 'http://api.interpreter.caiyunai.com/v1/translator' 46 | MATHPIX_API = 'https://api.mathpix.com/v3/text' 47 | 48 | # CNOCR Control 49 | CNOCR_SERVE = 0 50 | CNOCR_API = 'http://127.0.0.1:8501/ocr' 51 | 52 | # Tencent Control 53 | TENCENT_SERVICE = 'ocr' 54 | TENCENT_ACTION = 'GeneralFastOCR' 55 | TENCENT_OCR_HOST = 'ocr.tencentcloudapi.com' 56 | TENCENT_OCR_API = 'https://ocr.tencentcloudapi.com' 57 | TENCENT_CONTENT_TYPE = 'application/json; charset=utf-8' 58 | 59 | # Baidu Control 60 | try: 61 | if os.environ['baidu_language_type'] == '': 62 | BAIDU_LANGUAGE_TYPE = 'CHN_ENG' 63 | else: 64 | BAIDU_LANGUAGE_TYPE = os.environ['baidu_language_type'] 65 | except KeyError: 66 | BAIDU_LANGUAGE_TYPE = 'CHN_ENG' 67 | BAIDU_OCR_SPACING_OFFSET = 8 68 | BAIDU_OCR_SPACING_VARIANCE = 15 69 | BAIDU_OCR_WIDTH_OFFSET = 50 70 | -------------------------------------------------------------------------------- /src/error_declare.py: -------------------------------------------------------------------------------- 1 | ''' 2 | Description: Error Declare 3 | Author: Chandler Lu 4 | Date: 2021-01-07 17:14:36 5 | LastEditTime: 2021-01-07 17:15:02 6 | ''' 7 | import sys 8 | 9 | 10 | def declare_network_error(): 11 | print('Network connection refused!', end='') 12 | sys.exit(0) 13 | 14 | 15 | def declare_file_error(): 16 | sys.exit(0) 17 | -------------------------------------------------------------------------------- /src/img_to_b64.py: -------------------------------------------------------------------------------- 1 | ''' 2 | Description: Convert IMG to BASE64 3 | Author: Chandler Lu 4 | Date: 2021-01-07 16:57:01 5 | LastEditTime: 2021-01-07 17:09:50 6 | ''' 7 | from base64 import b64encode 8 | 9 | 10 | def convert_image_base64(pic_path): 11 | with open(pic_path, 'rb') as pic_file: 12 | byte_content = pic_file.read() 13 | pic_base64 = b64encode(byte_content).decode('utf-8') 14 | return pic_base64 15 | -------------------------------------------------------------------------------- /src/ocr.py: -------------------------------------------------------------------------------- 1 | ''' 2 | @Description: Capture then OCR - Alfred for macOS 3 | @version: 4.9.5 4 | @Author: Chandler Lu 5 | @Date: 2019-11-26 23:52:36 6 | LastEditTime: 2024-03-18 15:41:55 7 | ''' 8 | # -*- coding: UTF-8 -*- 9 | import sys 10 | import os 11 | import time 12 | import statistics 13 | import json 14 | import re 15 | import requests 16 | import hashlib 17 | import hmac 18 | import random 19 | import string 20 | from base64 import b64encode 21 | from urllib import parse 22 | 23 | import config as c 24 | import tencent_ocr 25 | 26 | 27 | ocr_select = int(sys.argv[1]) 28 | pic_path = sys.argv[2] 29 | temp_path = '/private/tmp/com.chandler.alfredocr' 30 | 31 | ''' 32 | Error Declare 33 | ''' 34 | 35 | 36 | def declare_network_error(): 37 | print('Error: Network connection refused!', end='') 38 | sys.exit(0) 39 | 40 | 41 | def declare_file_error(): 42 | sys.exit(0) 43 | 44 | 45 | ''' 46 | Picture Convert 47 | ''' 48 | 49 | 50 | def convert_image_base64(pic_path): 51 | with open(pic_path, 'rb') as pic_file: 52 | byte_content = pic_file.read() 53 | pic_base64 = b64encode(byte_content).decode('utf-8') 54 | return pic_base64 55 | 56 | 57 | ''' 58 | CNOCR: v2.3 59 | https://github.com/breezedeus/CnOCR 60 | ''' 61 | 62 | 63 | def cnocr_ocr(pic_path): 64 | if c.CNOCR_SERVE == 0: 65 | from cnocr import CnOcr 66 | ocr = CnOcr(rec_model_name='doc-densenet_lite_136-gru', 67 | det_model_name='ch_PP-OCRv3_det') 68 | res = ocr.ocr(pic_path) 69 | elif c.CNOCR_SERVE == 1: 70 | try: 71 | req = requests.post( 72 | c.CNOCR_API, timeout=1.5, files={'image': (pic_path, open(pic_path, 'rb'))}) 73 | res = req.json()['results'] 74 | except requests.Timeout: 75 | print('Request timeout!', end='') 76 | sys.exit(0) 77 | for i in res: 78 | print(i['text'], end='') 79 | 80 | 81 | ''' 82 | Baidu OCR 83 | ''' 84 | 85 | 86 | def request_baidu_token(): 87 | try: 88 | api_message = requests.get(c.BAIDU_GET_TOKEN_URL) 89 | if ('access_token' in api_message.json()): 90 | with open("./baidu_api_token.json", "w") as json_file: 91 | json.dump(api_message.json(), json_file) 92 | token = api_message.json()['access_token'] 93 | return token 94 | else: 95 | print("Error: " + api_message.json()['error_description'], end='') 96 | sys.exit(0) 97 | except requests.exceptions.ConnectionError: 98 | declare_network_error() 99 | 100 | 101 | def return_baidu_token(): 102 | if ((not os.path.exists('./baidu_api_token.json')) 103 | or (int(time.time() - os.stat("./baidu_api_token.json").st_mtime) >= 259200)): 104 | return request_baidu_token() 105 | else: 106 | with open("./baidu_api_token.json", 'r') as json_file: 107 | api_message_json = json.load(json_file) 108 | if 'access_token' in api_message_json: 109 | return api_message_json.get('access_token') 110 | else: 111 | return request_baidu_token() 112 | 113 | 114 | def baidu_ocr(pic_path): 115 | if (os.path.getsize(pic_path) <= 4194304): 116 | try: 117 | response = requests.post( 118 | url=c.BAIDU_OCR_API, 119 | params={ 120 | "access_token": return_baidu_token(), 121 | }, 122 | headers={ 123 | "Content-Type": "application/x-www-form-urlencoded", 124 | }, 125 | data={ 126 | "image": convert_image_base64(pic_path), 127 | "language_type": c.BAIDU_LANGUAGE_TYPE, 128 | }, 129 | ) 130 | if (response.status_code == 200): 131 | if ('error_code' in response.json()): 132 | print(response.json()['error_msg']) 133 | else: 134 | output_baidu_ocr(response.json()) 135 | else: 136 | print('Request failed!', end='') 137 | except requests.exceptions.ConnectionError: 138 | declare_network_error() 139 | else: 140 | print('Too large!') 141 | 142 | 143 | def baidu_ocr_qrcode(pic_path): 144 | if (os.path.getsize(pic_path) <= 4194304): 145 | try: 146 | response = requests.post( 147 | url=c.BAIDU_QRCODE_API, 148 | params={ 149 | "access_token": return_baidu_token(), 150 | }, 151 | headers={ 152 | "Content-Type": "application/x-www-form-urlencoded", 153 | }, 154 | data={ 155 | "image": convert_image_base64(pic_path), 156 | }, 157 | ) 158 | if (response.status_code == 200): 159 | if ('error_code' in response.json()): 160 | print(response.json()['error_msg']) 161 | else: 162 | response_json = response.json()['codes_result'] 163 | output_result(2, response_json) 164 | else: 165 | print('Request failed!', end='') 166 | except requests.exceptions.ConnectionError: 167 | declare_network_error() 168 | else: 169 | print('Too large!') 170 | 171 | 172 | def baidu_ocr_table_process(d): 173 | # Initialize the table with empty strings 174 | max_row = max(item['row_start'] for item in d) + 1 175 | max_col = max(item['col_start'] for item in d) + 1 176 | table = [[""] * max_col for _ in range(max_row)] 177 | 178 | # Fill in the table with the data 179 | for item in d: 180 | row = item['row_start'] 181 | col = item['col_start'] 182 | words = item['words'].replace('\n', ' ') 183 | table[row][col] = words 184 | 185 | # Convert the table to a tab-separated string for display 186 | r = '\n'.join(['\t'.join(row) for row in table]) 187 | return r 188 | 189 | 190 | def baidu_ocr_table(pic_path): 191 | if (os.path.getsize(pic_path) <= 8388608): 192 | try: 193 | response = requests.post( 194 | url=c.BAIDU_TABLE_API, 195 | params={ 196 | "access_token": return_baidu_token(), 197 | }, 198 | headers={ 199 | "Content-Type": "application/x-www-form-urlencoded", 200 | }, 201 | data={ 202 | "image": convert_image_base64(pic_path) 203 | }, 204 | ) 205 | if (response.status_code == 200): 206 | for table_index, table in enumerate(response.json()['tables_result']): 207 | r = baidu_ocr_table_process(table['body']) 208 | print(r) 209 | print("\n") 210 | else: 211 | print('Request failed!', end='') 212 | except requests.exceptions.ConnectionError: 213 | declare_network_error() 214 | else: 215 | print('Too large!') 216 | 217 | 218 | def baidu_ocr_formula(pic_path): 219 | if (os.path.getsize(pic_path) <= 4194304): 220 | try: 221 | response = requests.post( 222 | url=c.BAIDU_FORMULA_API, 223 | params={ 224 | "access_token": return_baidu_token(), 225 | }, 226 | headers={ 227 | "Content-Type": "application/x-www-form-urlencoded", 228 | }, 229 | data={ 230 | "image": convert_image_base64(pic_path), 231 | "disp_formula": "true" 232 | }, 233 | ) 234 | if (response.status_code == 200): 235 | result_num = response.json()['formula_result_num'] 236 | if (result_num > 0): 237 | response_json = response.json()['formula_result'] 238 | for i in range(result_num): 239 | print(response_json[i]['words'], end=" \\\\") 240 | if (i != result_num - 1): 241 | print('\n') 242 | else: 243 | print('Request failed!', end='') 244 | except requests.exceptions.ConnectionError: 245 | declare_network_error() 246 | else: 247 | print('Too large!') 248 | 249 | 250 | ''' 251 | Google OCR 252 | ''' 253 | 254 | 255 | def google_ocr(pic_path): 256 | header = { 257 | "Content-Type": "application/json", 258 | } 259 | data = json.dumps({ 260 | "requests": [ 261 | { 262 | "image": { 263 | "content": convert_image_base64(pic_path) 264 | }, 265 | "features": [ 266 | { 267 | "type": "TEXT_DETECTION" 268 | } 269 | ] 270 | } 271 | ] 272 | }) 273 | if c.GOOGLE_POST_REFERER: 274 | header['Referer'] = c.GOOGLE_POST_REFERER 275 | try: 276 | if c.GOOGLE_HTTP_PROXY: 277 | response = requests.post( 278 | url=c.GOOGLE_OCR_API, 279 | params={ 280 | "key": c.GOOGLE_ACCESS_TOKEN, 281 | }, 282 | headers=header, 283 | data=data, 284 | proxies={ 285 | 'http': 'http://' + c.GOOGLE_HTTP_PROXY, 286 | 'https': 'https://' + c.GOOGLE_HTTP_PROXY, 287 | } 288 | ) 289 | else: 290 | response = requests.post( 291 | url=c.GOOGLE_OCR_API, 292 | params={ 293 | "key": c.GOOGLE_ACCESS_TOKEN, 294 | }, 295 | headers=header, 296 | data=data 297 | ) 298 | if (response.status_code == 200): 299 | response_json = response.json()['responses'] 300 | output_result(5, response_json) 301 | else: 302 | print('Request failed!', end='') 303 | except requests.exceptions.ConnectionError: 304 | declare_network_error() 305 | 306 | 307 | ''' 308 | Mathpix OCR 309 | ''' 310 | 311 | 312 | def mathpix_ocr(pic_path): 313 | ''' https://docs.mathpix.com/?python#request-parameters 314 | file_path = 'limit.jpg' 315 | image_uri = "data:image/jpg;base64," + b64encode(open(pic_path, "rb").read()).decode() 316 | r = requests.post("https://api.mathpix.com/v3/text", 317 | data=json.dumps({'src': image_uri}), 318 | headers={"app_id": "YOUR_APP_ID", "app_key": "YOUR_APP_KEY", 319 | "Content-type": "application/json"}) 320 | print(json.dumps(json.loads(r.text), indent=4, sort_keys=True)) 321 | ''' 322 | try: 323 | response = requests.post( 324 | url=c.MATHPIX_API, 325 | headers={ 326 | 'app_id': c.MATHPIX_APP_ID, 327 | 'app_key': c.MATHPIX_APP_KEY, 328 | 'Content-type': 'application/json', 329 | }, 330 | data=json.dumps({ 331 | 'src': 'data:image/jpg;base64,' + convert_image_base64(pic_path) 332 | }) 333 | ) 334 | if (response.status_code == 200): 335 | if 'error' in response.json(): 336 | print(response.json()['error'], end='') 337 | elif 'latex_styled' in response.json(): 338 | print(response.json()['latex_styled'], end='') 339 | else: 340 | print(response.json()['text'], end='') 341 | else: 342 | print('Request failed!', end='') 343 | except requests.exceptions.ConnectionError: 344 | declare_network_error() 345 | 346 | 347 | def multi_file_ocr(): 348 | names = [name for name in os.listdir(temp_path) 349 | if re.search(r'.png|.jpg|.jpeg|.bmp', name, re.IGNORECASE) and os.path.getsize(temp_path + '/' + name) <= 4194304] 350 | for i in range(len(names)): 351 | current_pic_path = temp_path + '/' + names[i] 352 | baidu_ocr(current_pic_path) 353 | remove_pic(current_pic_path) 354 | if i != len(names) - 1: 355 | print('\n') 356 | 357 | 358 | ''' 359 | Offline Barcode Decode (using !(zxing)[https://github.com/dlenski/python-zxing]) 360 | ''' 361 | 362 | 363 | def barcode_decode(pic_path): 364 | import zxing 365 | reader = zxing.BarCodeReader() 366 | barcode = reader.decode(pic_path) 367 | if barcode is not None: 368 | print(barcode.parsed, end='') 369 | else: 370 | print('Empty QR Code!') 371 | 372 | 373 | ''' 374 | Output 375 | ''' 376 | 377 | 378 | def output_result(which_api, result_json): 379 | if (which_api == 4): 380 | for index in range(len(result_json)): 381 | print(result_json[index] 382 | ['itemstring'].replace(",", "，"), end='') 383 | if index != (len(result_json) - 1): 384 | print() 385 | elif (which_api == 5): 386 | text = result_json[0]['textAnnotations'][0]['description'].rstrip( 387 | '\n') 388 | print(text, end='') 389 | elif (which_api == 2): 390 | # 空二维码 391 | if (len(result_json) < 1): 392 | print('Empty QR Code!') 393 | # 单二维码 394 | elif (len(result_json) == 1): 395 | text_array = result_json[0]['text'] 396 | for index in range(len(text_array)): 397 | print(text_array[index], end='') 398 | if index != (len(text_array) - 1): 399 | print() 400 | # 多二维码 401 | else: 402 | for index_qrcode in range(len(result_json)): 403 | text_array = result_json[index_qrcode]['text'] 404 | print('Group ' + str(index_qrcode + 1)) 405 | for index_text in range(len(text_array)): 406 | print(text_array[index_text], end='') 407 | # 组内格式控制 408 | if (index_qrcode != (len(result_json) - 1)): 409 | print() 410 | # 组间格式控制 411 | if (index_qrcode != (len(result_json) - 1)): 412 | print() 413 | 414 | 415 | def output_baidu_ocr(response_json): 416 | line_spacing = [] 417 | line_width = [] 418 | 419 | for index in range(response_json['words_result_num'] - 1): 420 | line_spacing.append(response_json['words_result'][index + 1]['location'] 421 | ['top'] - response_json['words_result'][index]['location']['top']) 422 | if line_spacing: 423 | top_half = statistics.median(line_spacing) 424 | top_variance = statistics.pvariance(line_spacing) 425 | else: 426 | top_half = 0 427 | top_variance = c.BAIDU_OCR_SPACING_VARIANCE 428 | 429 | if top_variance >= c.BAIDU_OCR_SPACING_VARIANCE: 430 | is_line_spacing_check = 1 431 | else: 432 | is_line_spacing_check = 0 433 | 434 | for index in range(response_json['words_result_num']): 435 | line_width.append( 436 | response_json['words_result'][index]['location']['width']) 437 | try: 438 | width_half = statistics.median(line_width) 439 | except statistics.StatisticsError: 440 | print('Empty!', end='') 441 | sys.exit(0) 442 | 443 | for index in range(response_json['words_result_num']): 444 | words = response_json['words_result'][index]['words'] 445 | if re.search(r'[\u4e00-\u9fa5+]', words): 446 | chinese_tag = 1 447 | else: 448 | chinese_tag = 0 449 | if chinese_tag == 1: 450 | is_num_between_chinese_space = re.finditer( 451 | r'[\u4e00-\u9fa5+][0-9a-zA-Z]', words) # 汉字+数字 452 | if is_num_between_chinese_space is not None: 453 | space_insert_offset = 0 454 | for i in is_num_between_chinese_space: 455 | list_words = list(words) 456 | list_words.insert( 457 | i.span()[0] + space_insert_offset + 1, ' ') 458 | space_insert_offset += 1 459 | words = ''.join(list_words) 460 | is_num_between_space_chinese = re.finditer( 461 | r'[0-9a-zA-Z]+[\u4e00-\u9fa5+]', words) # 数字+汉字 462 | if is_num_between_space_chinese is not None: 463 | space_insert_offset = 0 464 | for i in is_num_between_space_chinese: 465 | list_words = list(words) 466 | list_words.insert( 467 | i.span()[1] + space_insert_offset - 1, ' ') 468 | space_insert_offset += 1 469 | words = ''.join(list_words) 470 | replace_map = { 471 | ", ": "，", ",": "，", "!": "！", ";": "；", 472 | ":": "：", "(": "（", ")": "）", "?": "？", 473 | "—一": "——", "一—": "——" 474 | } 475 | else: 476 | replace_map = { 477 | "，": ",", "。": ".", "！": "!", "；": ";", 478 | "（": "(", "）": ")", "？": "?" 479 | } 480 | for a, b in replace_map.items(): 481 | words = words.replace(a, b) 482 | words = re.sub(r'( ){2,}', ' ', words) 483 | print(words, end="") 484 | if (is_line_spacing_check == 1) and (index != response_json['words_result_num'] - 1) and ( 485 | response_json['words_result'][index + 1]['location']['top'] - response_json['words_result'][index]['location']['top'] > top_half + c.BAIDU_OCR_SPACING_OFFSET): 486 | print() 487 | elif (is_line_spacing_check == 0) and (index != response_json['words_result_num'] - 1) and (response_json['words_result'][index]['location']['width'] < width_half - c.BAIDU_OCR_WIDTH_OFFSET): 488 | print() 489 | 490 | 491 | def remove_pic(pic_path): 492 | if os.path.isfile(pic_path): 493 | try: 494 | os.remove(pic_path) 495 | return True 496 | except Exception as e: 497 | return False 498 | else: 499 | return False 500 | 501 | 502 | if __name__ == "__main__": 503 | ocr_functions = { 504 | 0: cnocr_ocr, 505 | 1: baidu_ocr, 506 | 2: baidu_ocr_qrcode, 507 | 3: baidu_ocr_table, 508 | 4: tencent_ocr.tencent_ocr, 509 | 5: google_ocr, 510 | 6: barcode_decode, 511 | 7: mathpix_ocr, 512 | 8: baidu_ocr_formula, 513 | 99: multi_file_ocr, 514 | } 515 | 516 | try: 517 | if ocr_select != 99: 518 | try: 519 | os.path.getsize(pic_path) 520 | ocr_functions[ocr_select](pic_path) 521 | remove_pic(pic_path) 522 | except FileNotFoundError: 523 | declare_file_error() 524 | else: 525 | ocr_functions[ocr_select]() 526 | except KeyError: 527 | print("Invalid API selector.") 528 | 529 | ''' 530 | ________ 531 | < rabbit > 532 | -------- 533 | \\ ^__^ 534 | \\ (oo)\\_______ 535 | (__)\\ )\\/\ 536 | ||----w | 537 | || || 538 | ''' 539 | -------------------------------------------------------------------------------- /src/pngpaste/LICENSE: -------------------------------------------------------------------------------- 1 | Copyright 2010 Jerry Chen. All rights reserved. 2 | 3 | Redistribution and use in source and binary forms, with or without 4 | modification, are permitted provided that the following conditions are 5 | met: 6 | 7 | 1. Redistributions of source code must retain the above copyright 8 | notice, this list of conditions and the following disclaimer. 9 | 10 | 2. Redistributions in binary form must reproduce the above 11 | copyright notice, this list of conditions and the following 12 | disclaimer in the documentation and/or other materials provided 13 | with the distribution. 14 | 15 | THIS SOFTWARE IS PROVIDED BY JERRY CHEN ``AS IS'' AND ANY EXPRESS OR 16 | IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED 17 | WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 18 | DISCLAIMED. IN NO EVENT SHALL JERRY CHEN OR CONTRIBUTORS BE LIABLE FOR 19 | ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL 20 | DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE 21 | GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 22 | INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER 23 | IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR 24 | OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF 25 | ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 26 | 27 | The views and conclusions contained in the software and documentation 28 | are those of the authors and should not be interpreted as representing 29 | official policies, either expressed or implied, of Jerry Chen. 30 | -------------------------------------------------------------------------------- /src/pngpaste/pngpaste: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Chandler-Lu/alfred-ocr/ea15bc49e996b4286119c47902653e26bd82af86/src/pngpaste/pngpaste -------------------------------------------------------------------------------- /src/requirements.txt: -------------------------------------------------------------------------------- 1 | requests==2.31.0 2 | cnocr[ort-cpu]==2.3 3 | cnocr[serve]==2.3 4 | zxing==1.0.1 -------------------------------------------------------------------------------- /src/tencent_ocr.py: -------------------------------------------------------------------------------- 1 | ''' 2 | Description: Capture then OCR - Tencent 3 | Author: Chandler Lu 4 | Date: 2021-01-07 16:47:12 5 | LastEditTime: 2022-09-23 11:45:48 6 | ''' 7 | 8 | import os 9 | import time 10 | from datetime import datetime 11 | import requests 12 | import hashlib 13 | import json 14 | import hmac 15 | 16 | import config as c 17 | import img_to_b64 18 | import error_declare 19 | 20 | 21 | def tencent_sign(key, msg): 22 | return hmac.new(key, msg.encode("utf-8"), hashlib.sha256).digest() 23 | 24 | 25 | def tencent_ocr(pic_path): 26 | if (os.path.getsize(pic_path) <= 3145728): 27 | # 请求方式 28 | tencent_http_request_method = 'POST' 29 | tencent_canonical_uri = '/' 30 | tencent_canonical_query_string = '' 31 | tencent_canonical_headers = "content-type:%s\nhost:%s\n" % ( 32 | c.TENCENT_CONTENT_TYPE, c.TENCENT_OCR_HOST) 33 | tencent_signed_headers = 'content-type;host' 34 | 35 | # 签名方式 36 | tencent_algorithm = 'TC3-HMAC-SHA256' 37 | 38 | # 时间戳 39 | tencent_request_timestamp = int(time.time()) 40 | tencent_request_date = str(datetime.utcfromtimestamp( 41 | tencent_request_timestamp).strftime("%Y-%m-%d")) 42 | 43 | # 参数准备 44 | tencent_credential_scope_data = [ 45 | tencent_request_date, c.TENCENT_SERVICE, 'tc3_request'] 46 | tencent_credential_scope = '/'.join(tencent_credential_scope_data) 47 | 48 | # 图片数据 49 | data_img = { 50 | "ImageBase64": img_to_b64.convert_image_base64(pic_path) 51 | } 52 | data_img = json.dumps(data_img).encode('utf-8') 53 | tencent_hashed_request_payload = hashlib.sha256( 54 | data_img).hexdigest().lower() 55 | 56 | # 规范请求串 57 | tencnet_canonical_request_data = [ 58 | tencent_http_request_method, 59 | tencent_canonical_uri, 60 | tencent_canonical_query_string, 61 | tencent_canonical_headers, 62 | tencent_signed_headers, 63 | tencent_hashed_request_payload] 64 | tencnet_canonical_request = '\n'.join(tencnet_canonical_request_data) 65 | tencent_hashed_canonical_request = hashlib.sha256( 66 | tencnet_canonical_request.encode("utf-8")).hexdigest() 67 | 68 | # 待签名字符串 69 | tencent_string_to_sign_data = [ 70 | tencent_algorithm, 71 | str(tencent_request_timestamp), 72 | tencent_credential_scope, 73 | tencent_hashed_canonical_request] 74 | tencent_string_to_sign = '\n'.join(tencent_string_to_sign_data) 75 | 76 | # 计算签名 77 | tencent_secret_date = tencent_sign( 78 | ("TC3" + c.TENCENT_SECRET_KEY).encode("utf-8"), 79 | tencent_request_date) 80 | tencent_secret_service = tencent_sign( 81 | tencent_secret_date, c.TENCENT_SERVICE) 82 | tencent_secret_signing = tencent_sign( 83 | tencent_secret_service, "tc3_request") 84 | tencent_signature = hmac.new( 85 | tencent_secret_signing, 86 | tencent_string_to_sign.encode("utf-8"), 87 | hashlib.sha256).hexdigest() 88 | 89 | tencent_authorization = tencent_algorithm + ' ' + 'Credential=' + c.TENCENT_SECRET_ID + '/' + \ 90 | tencent_credential_scope + ', ' + 'SignedHeaders=' + \ 91 | tencent_signed_headers + ', ' + 'Signature=' + tencent_signature 92 | 93 | try: 94 | response = requests.post( 95 | url=c.TENCENT_OCR_API, 96 | headers={ 97 | "Content-Type": c.TENCENT_CONTENT_TYPE, 98 | "X-TC-Action": c.TENCENT_ACTION, 99 | "X-TC-Region": "ap-shanghai", 100 | "X-TC-Timestamp": str(tencent_request_timestamp), 101 | "X-TC-Version": "2018-11-19", 102 | "Authorization": tencent_authorization, 103 | }, 104 | data=data_img, 105 | ) 106 | if (response.status_code == 200): 107 | if 'Error' in response.json()['Response']: 108 | print(response.json()['Response']['Error']['Message']) 109 | else: 110 | output(response.json()['Response']['TextDetections']) 111 | else: 112 | print('Request failed!', end='') 113 | except requests.exceptions.ConnectionError: 114 | declare_network_error() 115 | else: 116 | print('Too large!') 117 | 118 | 119 | def output(message): 120 | for i in range(len(message)): 121 | print(message[i]['DetectedText'], end='') 122 | if i != len(message) - 1: 123 | print() 124 | -------------------------------------------------------------------------------- /src/translate.py: -------------------------------------------------------------------------------- 1 | ''' 2 | @Description: translate_caiyun 3 | @version: 1.1 4 | @Author: Chandler Lu 5 | @Date: 2019-12-01 10:29:27 6 | @LastEditTime: 2020-03-09 22:54:31 7 | ''' 8 | # -*- coding: UTF-8 -*- 9 | import sys 10 | import os 11 | import time 12 | import re 13 | import requests 14 | import json 15 | 16 | import config as c 17 | 18 | translate_origin = sys.argv[1] 19 | 20 | 21 | def caiyun_translate(chinese_tag, source): 22 | if (chinese_tag == 1): 23 | trans_type = 'zh2en' 24 | else: 25 | trans_type = 'auto2zh' 26 | response = requests.post( 27 | url=c.CAIYUN_TRANSLATE_API, 28 | headers={ 29 | 'Content-Type': 'application/json', 30 | 'X-Authorization': 'token ' + c.CAIYUN_TRANSLATE_TOKEN, 31 | }, 32 | data=json.dumps({ 33 | "source": source, 34 | "request_id": str(time.time()), 35 | "trans_type": trans_type, 36 | "detect": "True" 37 | }) 38 | ) 39 | return response.json().get('target') 40 | 41 | 42 | def show_on_screen(title, subtitle): 43 | screen_data = {"items": [ 44 | { 45 | "type": "default", 46 | "title": translate_result, 47 | "subtitle": translate_origin, 48 | "text": { 49 | "copy": translate_result, 50 | } 51 | } 52 | ]} 53 | screen_data = json.dumps(screen_data) 54 | return screen_data 55 | 56 | 57 | if __name__ == "__main__": 58 | if ((re.compile(u'[\u4e00-\u9fa5]+').search(translate_origin[0:8])) and (not re.compile(u'[\u0800-\u4dff]+').search(translate_origin[0:8]))): 59 | chinese_tag = 1 60 | else: 61 | chinese_tag = 0 62 | translate_result = caiyun_translate(chinese_tag, translate_origin) 63 | print(show_on_screen(translate_result, translate_origin)) 64 | 65 | ''' 66 | ________ 67 | < rabbit > 68 | -------- 69 | \ ^__^ 70 | \ (oo)\_______ 71 | (__)\ )\/\ 72 | ||----w | 73 | || || 74 | ''' 75 | --------------------------------------------------------------------------------