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在文字识别ocr中,这种json格式的东西怎么转换成txt或者work文档?

在文字识别ocr中,这种json格式的东西怎么转换成txt或者work文档?HTTP/1.1 200 OK [Date: Mon, 25 Sep 2023 05:17:28 GMT, Content-Type: application/json;charset=UTF-8, Content-Length: 2519, Connection: keep-alive, Keep-Alive: timeout=25, Vary: Accept-Encoding, Vary: Accept-Encoding, Server: Tengine, X-Ca-Request-Id: 75574F4F-9B3A-4A9C-A460-C883475FC714]
13:17:28.966 [main] DEBUG org.apache.http.wire - << "{"page_list":[{"angle":0,"doc_index":1,"height":524,"orgHeight":524,"orgWidth":761,"page_id":0,"subject_list":[{"content_list_info":[{"doc_index":1,"pos":[{"x":6,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":9,"y":0}]}],"ids":[],"is_multipage":false,"prism_wordsInfo":[{"pos":[{"x":5,"y":0},{"x":2,"y":0},{"x":2,"y":0},{"x":6,"y":0}],"word":"5.[0xe8][0x8b][0xa5]"},{"pos":[{"x":2,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":2,"y":0}],"word":"x+y=3[0xef][0xbc][0x8c]xy=1[0xef][0xbc][0x8c]"},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"[0xef][0xbc][0x8c][0xe5][0x88][0x99]"},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"$$x ^ { 2 } + y ^ { 2 } =$$"},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"."},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"$$\left( x - y \right) ^ { 2 } =$$"}],"text":"5.[0xe8][0x8b][0xa5] x+y=3[0xef][0xbc][0x8c]xy=1[0xef][0xbc][0x8c] [0xef][0xbc][0x8c][0xe5][0x88][0x99] $$x ^ { 2 } + y ^ { 2 } =$$ . $$\left( x - y \right) ^ { 2 } =$$ "},{"content_list_info":[{"doc_index":1,"pos":[{"x":7,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":9,"y":0}]}],"ids":[],"is_multipage":false,"prism_wordsInfo":[{"pos":[{"x":8,"y":0},{"x":2,"y":0},{"x":3,"y":0},{"x":9,"y":0}],"word":"6.[0xe8][0x8b][0xa5]"},{"pos":[{"x":2,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":3,"y":0}],"word":"$$\left( x + y \right) ^ { 2 } = 9 [0xef][0xbc][0x8c] \left( x - y \right) ^ { 2 } = 5 [0xef][0xbc][0x8c]$$"},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"[0xe5][0x88][0x99]xy="}],"text":"6.[0xe8][0x8b][0xa5] $$\left( x + y \right) ^ { 2 } = 9 [0xef][0xbc][0x8c] \left( x - y \right) ^ { 2 } = 5 [0xef][0xbc][0x8c]$$ [0xe5][0x88][0x99]xy= "},{"content_list_info":[{"doc_index":1,"pos":[{"x":11,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":13,"y":0}]}],"ids":[],"is_multipage":false,"prism_wordsInfo":[{"pos":[{"x":11,"y":0},{"x":4,"y":0},{"x":4,"y":0},{"x":12,"y":0}],"word":"7.[0xe8][0x8b][0xa5]"},{"pos":[{"x":3,"y":0},{"x":1,"y":0},{"x":1,"y":0},{"x":4,"y":0}],"word":"$$x ^ { 2 } + k x + 1 6$$"},{"pos":[{"x":1,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":1,"y":0}],"word":"[0xe6][0x98][0xaf][0xe5][0xae][0x8c][0xe5][0x85][0xa8][0xe5][0xb9][0xb3][0xe6][0x96][0xb9][0xe5][0x85][0xac][0xe5][0xbc][0x8f][0xef][0xbc][0x8c][0xe5][0x88][0x99][0xe6][0x95][0xb4][0xe6][0x95][0xb0]"},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"k="}],"text":"7.[0xe8][0x8b][0xa5] $$x ^ { 2 } + k x + 1 6$$ [0xe6][0x98][0xaf][0xe5][0xae][0x8c][0xe5][0x85][0xa8][0xe5][0xb9][0xb3][0xe6][0x96][0xb9][0xe5][0x85][0xac][0xe5][0xbc][0x8f][0xef][0xbc][0x8c][0xe5][0x88][0x99][0xe6][0x95][0xb4][0xe6][0x95][0xb0] k= "},{"content_list_info":[{"doc_index":1,"pos":[{"x":15,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":16,"y":0}]}],"ids":[],"is_multipage":false,"prism_wordsInfo":[{"pos":[{"x":14,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":15,"y":0}],"word":"8.[0xe8][0xaf][0xa5][0xe5][0x9b][0xbe][0xe5][0x8f][0xaf][0xe4][0xbb][0xa5][0xe7][0x94][0xa8][0xe6][0x9d][0xa5][0xe9][0xaa][0x8c][0xe8][0xaf][0x81][0xe6][0x88][0x91][0xe4][0xbb][0xac][0xe5][0xad][0xa6][0xe8][0xbf][0x87][0xe7][0x9a][0x84][0xe4][0xb9][0x98][0xe6][0xb3][0x95][0xe5][0x85][0xac][0xe5][0xbc][0x8f]"}],"text":"8.[0xe8][0xaf][0xa5][0xe5][0x9b][0xbe][0xe5][0x8f][0xaf][0xe4][0xbb][0xa5][0xe7][0x94][0xa8][0xe6][0x9d][0xa5][0xe9][0xaa][0x8c][0xe8][0xaf][0x81][0xe6][0x88][0x91][0xe4][0xbb][0xac][0xe5][0xad][0xa6][0xe8][0xbf][0x87][0xe7][0x9a][0x84][0xe4][0xb9][0x98][0xe6][0xb3][0x95][0xe5][0x85][0xac][0xe5][0xbc][0x8f] "}],"width":761}],"requestId":"75574F4F-9B3A-4A9C-A460-C883475FC714"}"
13:17:28.967 [main] DEBUG org.apache.http.impl.conn.BasicClientConnectionManager - Releasing connection org.apache.http.impl.conn.ManagedClientConnectionImpl@19d37183
13:17:28.967 [main] DEBUG org.apache.http.impl.conn.BasicClientConnectionManager - Connection can be kept alive for 25000 MILLISECONDS

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小小鹿鹿鹿 2023-10-04 16:21:02 87 0
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  • 搜一下json解析。发回结果需要二次开发。此回答来自钉群【官方】阿里云OCR公共云客户交流群。

    2023-10-04 18:36:47
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  • 要将JSON格式的数据转换为txt或word文档,你需要首先解析JSON数据,然后将识别到的文本提取出来。以下是一个使用Python进行解析和转换的简单示例:

    import json
    
    # 假设这是你的JSON数据
    json_data = '{"page_list":[{"angle":0,"doc_index":1,"height":524,"orgHeight":524,"orgWidth":761,"page_id":0,"subject_list":[{"content_list_info":[{"doc_index":1,"pos":[{"x":6,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":9,"y":0}]}],"ids":[],"is_multipage":false,"prism_wordsInfo":[{"pos":[{"x":5,"y":0},{"x":2,"y":0},{"x":2,"y":0},{"x":6,"y":0}],"word":"5.[0xe8][0x8b][0xa5]"},{"pos":[{"x":2,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":2,"y":0}],"word":"x+y=3[0xef][0xbc][0x8c]xy=1[0xef][0xbc][0x8c]"},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"[0xef][0xbc][0x8c][0xe5][0x88][0x99]"},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"$$x ^ { 2 } + y ^ { 2 } =$$"},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"."},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"$$\left( x - y \right) ^ { 2 } =$$"}],"text":"5.[0xe8][0x8b][0xa5] x+y=3[0xef][0xbc][0x8c]xy=1[0xef][0xbc][0x8c] [0xef][0xbc][0x8c][0xe5][0x88][0x99] $$x ^ { 2 } + y ^ { 2 } =$$ . $$\left( x - y \right) ^ { 2 } =$$ "},{"content_list_info":[{"doc_index":1,"pos":[{"x":7,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":9,"y":0}]}],"ids":[],"is_multipage":false,"prism_wordsInfo":[{"pos":[{"x":8,"y":0},{"x":2,"y":0},{"x":3,"y":0},{"x":9,"y":0}],"word":"6.[0xe8][0x8b][0xa5]"},{"pos":[{"x":2,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":3,"y":0}],"word":"$$\left( x + y \right) ^ { 2 } = 9 [0xef][0xbc][0x8c] \left( x - y \right) ^ { 2 } = 5 [0xef][0xbc][0x8c]$$"},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"[0xe5][0x88][0x99]xy="}],"text":"6.[0xe8][0x8b][0xa5] 
    "},{"content_list_info":[{"doc_index":1,"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}]}],"ids":[],"is_multipage":false,"prism_wordsInfo":[{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"[0xef][0xbc][0x8c][0xe5][0x88][0x99]"},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"$$x ^ { 2 } + y ^ { 2 } =$$"},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"."},{"pos":[{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0},{"x":0,"y":0}],"word":"$$\left( x - y \right) ^ { 2 } =$$"}],"text":"[0xef][0xbc][0x8c][0xe5][0x88][0x99] $$x ^ { 2 } + y ^ { 2 } =$$ . $$\left( x - y \right) ^ { 2 } =$$ "}],"page_count":1,"total_page_count":1,"word_count":5}'
    
    # 定义一个函数来转换JSON数据
    def convert_json_to_txt(json_data):
        text_list = []
    
        # 遍历每一页的识别结果
        for page in json_data['page_list']:
            angle = page['angle']
            doc_index = page['doc_index']
            height = page['height']
            orgHeight = page['orgHeight']
            orgWidth = page['orgWidth']
            page_id = page['page_id']
    
            # 遍历每一行的识别结果
            for line in page['subject_list']:
                content_list_info = line['content_list_info']
                ids = line['ids']
                is_multipage = line['is_multipage']
    
                # 遍历每一行的识别结果
                for word in content_list_info:
                    pos = word['pos']
                    word_text = word['word']
                    text_list.append(f'{angle}.{doc_index}.{height}.{orgHeight}.{orgWidth}.{page_id}.{word_text}')
    
        # 将识别结果合并为一个字符串
        text = '
    '.join(text_list)
    
        # 将识别结果转换为txt文档
        with open('recognized_text.txt', 'w', encoding='utf-8') as f:
            f.write(text)
    
    # 调用函数来转换JSON数据
    convert_json_to_txt(json_data)
    

    这个程序首先解析JSON数据,然后遍历每一页的识别结果,再遍历每一行的识别结果,最后将识别结果合并为一个字符串并保存为txt文档。

    2023-10-04 16:45:40
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文字识别技术可以灵活应用于证件文字识别、发票文字识别、文档识别与整理等行业场景,满足认证、鉴权、票据流转审核等业务需求。

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