Was图片文字转换成word

1. 怎么把图片上的文字转化成word

解决方法：

将自己想要转化文字的图片保存到手机相册中→打开手机上的QQ→点击右上角的加号，找到扫一扫点击→在页面右上角点击相册→找到想要转化的图片并点击确定→即可转化为文字→复制到word中即可

方法步骤：

1.将自己想要转化文字的图片保存到手机相册中，例下图；

2. 如何把图片里的文字转换成word

要做到这一点，需要使用Office 2003里自带的Document Imaging工具。因为必须有了它才能将文字从图片里“抠”出来，然后将扫描文件转换成Word。

具体步骤如下：
1、在【开始】菜单的“Microsoft Office工具”中打开Microsoft Office Document Imaging。
2、在左侧窗口中单击鼠标右键，选择“粘贴页面”，把复制的图片粘贴到Document Imaging中。
3、在“工具”中选择“使用OCR识别文本”，Document Imaging的OCR识别程序就会对图片进行识别。
4、上一步完成后，选择“工具”中的“将文本发送到Word”，程序会自动打开Word文档，这时展现在用户面前的就是从图片中“抠”出来的文字了。

提示：一般而言，识别的准确率可以达到95％以上，但对英文和数字的识别不是太好。
另外请注意：许多用户第一次使用该工具时都需要安装，安装的时候插入Office安装盘即可。如果安装不行的话，那就只能到网上去找找其他的“文字识别系统”了。

3. 如何将图片内容转换成WORD文档

如果题主是在电脑上识别的话，可以下载关于OCR文字识别的软件。我使用的是风云OCR文字识别所以就以这款软件为示例了。

在电脑上安装软件打开后，我们点击左上角的单张图片识别功能

这时你就可以在文档上面修改了。注意输出格式要修改为Word文档格式输出。

4. 图片文字转换成Word的方法

图片转换成word文档的方法：

运行OCR文字识别软件，选择高级识别选项

然后打开Word文档，检查识别效果即可，不对的地方可手动校正。

5. 如何将图片上的文字转换成word文档

以WPS 2019版为例

1、打开文件，选中需要转换的图片，依次点击“特色应用”—“图片转文字”

6. 求大神将图片上的文字转换成word格式 在线等

帮你转了，可惜分辨率太低，将就用：
可以尝试：OnlineOCR、NewOCR、Free OCR这些网站在线识别
下面是用Free OCR帮你识别的结果
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§_= artample, one might label a group of statements about computer viewing devices as “ap-
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team of engineering manlumr chosen from M.l.T.'s Management of Technology Pro-
grant/l'heteam hadstudiedtheproct category. had read all ofthc interview transcripts.
and had reviewed the list of customer needs. The team was lead by Abbie Griffin. who
had observed and/or participated in almost 20 instry applications of group-consensus
charts at that time. Sixty M.l.T. graate students who use food-canying devices panic-
ipated in the customer sort. Because we funded this data collection ourselves. we reP°f\
the actual customer needs.
In addition we compared group-consensus charts and customer-sort hierarchies for 8
major consumer good with almost 200 customer needs Two g'0up-C0ltS¢l'tSttS charts
were developed: one by a team at the consumer-procts company who had worked on
the proct category. and mother by a team olgraate students from M.l.T.‘s engineering
school. The customer-sort hierarchy was based on a sample of 60 consumers chosen
randomly from active users of the proct category. Because the data are proprietary,
we report summary statistics and our qualitative impressions only.
Finally. wereportonacomputer-proct application in wltichateam-based consensus
chart was compared to a customer-based consensus chart. and we report the qualitative
elperienoe of approximately 20 proprietary applications of the customer-sort
methodology.
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archies for food-mnying devices (The complete hierarchies are available in Grithn l989.l
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It within each primary grouping. The customer-sort technique provides a more even dis-
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