This directory contains an idiomatic C++ client library for the Cloud Document AI API, a service that uses machine learning on a scalable cloud-based platform to help your organization efficiently scan, analyze, and understand documents.
While this library is GA, please note that the Google Cloud C++ client libraries do not follow Semantic Versioning.
The quickstart/ directory contains a minimal environment to get started using this client library in a larger project. The following “Hello World” program is used in this quickstart, and should give you a taste of this library.
For detailed instructions on how to build and install this library, see the top-level README.
#include "google/cloud/documentai/v1/document_processor_client.h"
#include "google/cloud/location.h"
#include <fstream>
#include <iostream>
#include <string>
int main(int argc, char* argv[]) try {
if (argc != 5) {
std::cerr << "Usage: " << argv[0]
<< " project-id location-id processor-id filename (PDF only)\n";
return 1;
}
std::string const location_id = argv[2];
if (location_id != "us" && location_id != "eu") {
std::cerr << "location-id must be either 'us' or 'eu'\n";
return 1;
}
auto const location = google::cloud::Location(argv[1], location_id);
namespace documentai = ::google::cloud::documentai_v1;
auto client = documentai::DocumentProcessorServiceClient(
documentai::MakeDocumentProcessorServiceConnection(
location.location_id()));
google::cloud::documentai::v1::ProcessRequest req;
req.set_name(location.FullName() + "/processors/" + argv[3]);
req.set_skip_human_review(true);
auto& doc = *req.mutable_raw_document();
doc.set_mime_type("application/pdf");
std::ifstream is(argv[4]);
doc.set_content(std::string{std::istreambuf_iterator<char>(is), {}});
auto resp = client.ProcessDocument(std::move(req));
if (!resp) throw std::move(resp).status();
std::cout << resp->document().text() << "\n";
return 0;
} catch (google::cloud::Status const& status) {
std::cerr << "google::cloud::Status thrown: " << status << "\n";
return 1;
}
.h files