如何使用谷歌云视觉对 pdf 进行 OCR？

如何解决如何使用谷歌云视觉对 pdf 进行 OCR？

我在我的笔记本电脑 Windows 10 上使用 C#.net

我有 OCR 图像的代码（png、jpg）工作正常

我需要让 pdf 文件工作

但是一位朋友告诉我，pdf可以直接发送到谷歌API并进行OCR处理，而无需将pdf转换为图像然后发送图像。

这可能吗？如果是这样，如何？

    private string GetTextFromImage(Google.Cloud.Vision.V1.Image filePath)
    {
        var response = Client.DetectText(filePath);
        var resultList = new List<ResultElement>();

        foreach (var annotation in response)
        {
            resultList.Add(new ResultElement
            {
                Description = annotation.Description,Location = annotation.Boundingpoly.ToString()
            });
        }

        return resultList.First().Description;
    }

    private Google.Cloud.Vision.V1.Image GetimageFromPath(string filePath)
    {
        return Google.Cloud.Vision.V1.Image.FromFile(filePath);
    }

编辑

谢谢里科

但代码返回此脚本而不是 pdf 文本

{ "responses": [ { "responses": [ { "fullTextAnnotation": { "pages": [ { "property": { "detectedLanguages": [ { "languageCode": "en","confidence": 0.92 },{ "languageCode": "fil","confidence": 0.02 },{ "languageCode": "af","confidence": 0.01 } ] },"width": 841,"height": 595,"blocks": [ { "property": { "detectedLanguages": [ { "languageCode": "en","confidence": 0.33 },"confidence": 0.29 } ] },"boundingBox": { "normalizedVertices": [ { "x": 0.587395966,"y": 0.9210084 },{ "x": 0.369797856,"y": 0.640336156 },{ "x": 0.4530321,"y": 0.5126051 },{ "x": 0.6706302,"y": 0.7932773 } ] },"paragraphs": [ { "property": { "detectedLanguages": [ { "languageCode": "fil","confidence": 0.47 },{ "languageCode": "en","confidence": 0.39 } ] },{ "x": 0.372176,"y": 0.6386555 },{ "x": 0.416171223,"y": 0.5714286 },{ "x": 0.6313912,"y": 0.8554622 } ] },"words": [ { "boundingBox": { "normalizedVertices": [ { "x": 0.529132,"y": 0.8436975 },{ "x": 0.4649227,"y": 0.761344552 },{ "x": 0.4803805,"y": 0.73613447 },{ "x": 0.544589758,"y": 0.8201681 } ] },"symbols": [ { "text": "M","confidence": 0.99 },{ "text": "e",{ "text": "n","confidence": 1 },{ "text": "g",{ "text": "m",{ "property": { "detectedBreak": { "type": "SPACE" } },"text": "g","confidence": 0.99 } ],{ "boundingBox": { "normalizedVertices": [ { "x": 0.460166454,"y": 0.754621863 },{ "x": 0.445897728,{ "x": 0.461355537,"y": 0.712605059 },{ "x": 0.475624263,"y": 0.731092453 } ] },"symbols": [ { "text": "L",{ "property": { "detectedBreak": { "type": "EOL_SURE_SPACE" } },"text": "u",{ "property": { "detectedLanguages": [ { "languageCode": "en" } ] },"boundingBox": { "normalizedVertices": [ { "x": 0.58501786,"y": 0.877310932 },{ "x": 0.5731272,"y": 0.8605042 },{ "x": 0.5862069,"y": 0.840336144 },{ "x": 0.5980975,"y": 0.857142866 } ] },"symbols": [ { "property": { "detectedLanguages": [ { "languageCode": "en" } ] },"text": "a","confidence": 0.62 },"text": "t","confidence": 0.98 },{ "property": { "detectedLanguages": [ { "languageCode": "en" } ],"detectedBreak": { "type": "SPACE" } },"text": "e","confidence": 0.94 } ],"confidence": 0.84 },"boundingBox": { "normalizedVertices": [ { "x": 0.568371,"y": 0.8537815 },{ "x": 0.549346,"y": 0.8302521 },{ "x": 0.5636147,"y": 0.8084034 },{ "x": 0.581450641,"y": 0.833613455 } ] },"text": "K","text": "y","confidence": 0.98 } ],"confidence": 0.96 },"boundingBox": { "normalizedVertices": [ { "x": 0.5457788,"y": 0.8235294 },{ "x": 0.5279429,"y": 0.8016807 },{ "x": 0.542211652,"y": 0.779831946 },{ "x": 0.560047567,"y": 0.803361356 } ] },"text": "L","text": "b","co

如何获取pdf文本？

解决方法

这是对存储在谷歌云存储中的 PDF 文件进行 OCR 的代码片段。这是使用 batch annotate 处理每个请求最多 5 页的限制。

编辑：代码现在使用本地文件。这将返回包含 PDF 文件内容的响应。

using System;
using System.IO;
using Google.Cloud.Vision.V1;
using Google.Protobuf;
using System.Collections.Generic;

public class QuickStart
    {
        public static void Main(string[] args)
        {
            var client = ImageAnnotatorClient.Create();
            Byte[] bytes = File.ReadAllBytes("your/complete/local/file/path/here.pdf");
            var content_byte = ByteString.CopyFrom(bytes);
    
            var syncRequest = new AnnotateFileRequest
            {
                InputConfig = new InputConfig
                {
                    Content = content_byte,// Supported mime_types are: 'application/pdf' and 'image/tiff'
                    MimeType = "application/pdf"
    
                }
            };
    
            syncRequest.Features.Add(new Feature
            {
                Type = Feature.Types.Type.DocumentTextDetection
            });
    
            List<AnnotateFileRequest> requests =
                new List<AnnotateFileRequest>();
            requests.Add(syncRequest);
    
            var response = client.BatchAnnotateFiles(requests);
            Console.WriteLine(response);
        }
    }