googleapis
Document AI: Node.js Client
Document AI client for Node.js
A comprehensive list of changes in each version may be found in the CHANGELOG.
- Document AI Node.js Client API Reference
- Document AI Documentation
- github.com/googleapis/google-cloud-node/packages/google-cloud-documentai
Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.
Table of contents:
Quickstart
Before you begin
- Select or create a Cloud Platform project.
- Enable billing for your project.
- Enable the Document AI API.
- Set up authentication with a service account so you can access the API from your local workstation.
Installing the client library
npm install @google-cloud/documentaiUsing the client library
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'YOUR_PROJECT_LOCATION'; // Format is 'us' or 'eu'
// const processorId = 'YOUR_PROCESSOR_ID'; // Create processor in Cloud Console
// const filePath = '/path/to/local/pdf';
const {DocumentProcessorServiceClient} =
require('@google-cloud/documentai').v1;
// Instantiates a client
// apiEndpoint regions available: eu-documentai.googleapis.com, us-documentai.googleapis.com (Required if using eu based processor)
// const client = new DocumentProcessorServiceClient({apiEndpoint: 'eu-documentai.googleapis.com'});
const client = new DocumentProcessorServiceClient();
async function quickstart() {
// The full resource name of the processor, e.g.:
// projects/project-id/locations/location/processor/processor-id
// You must create new processors in the Cloud Console first
const name = `projects/${projectId}/locations/${location}/processors/${processorId}`;
// Read the file into memory.
const fs = require('fs').promises;
const imageFile = await fs.readFile(filePath);
// Convert the image data to a Buffer and base64 encode it.
const encodedImage = Buffer.from(imageFile).toString('base64');
const request = {
name,
rawDocument: {
content: encodedImage,
mimeType: 'application/pdf',
},
};
// Recognizes text entities in the PDF document
const [result] = await client.processDocument(request);
const {document} = result;
// Get all of the document text as one big string
const {text} = document;
// Extract shards from the text field
const getText = textAnchor => {
if (!textAnchor.textSegments || textAnchor.textSegments.length === 0) {
return '';
}
// First shard in document doesn't have startIndex property
const startIndex = textAnchor.textSegments[0].startIndex || 0;
const endIndex = textAnchor.textSegments[0].endIndex;
return text.substring(startIndex, endIndex);
};
// Read the text recognition output from the processor
console.log('The document contains the following paragraphs:');
const [page1] = document.pages;
const {paragraphs} = page1;
for (const paragraph of paragraphs) {
const paragraphText = getText(paragraph.layout.textAnchor);
console.log(`Paragraph text:\n${paragraphText}`);
}
}
Samples
Samples are in the samples/ directory. Each sample's README.md has instructions for running its sample.
| Sample | Source Code | Try it |
|---|---|---|
| Document_processor_service.batch_process_documents | source code |  |
| Document_processor_service.create_processor | source code | |
| Document_processor_service.delete_processor | source code | |
| Document_processor_service.delete_processor_version | source code | |
| Document_processor_service.deploy_processor_version | source code | |
| Document_processor_service.disable_processor | source code | |
| Document_processor_service.enable_processor | source code | |
| Document_processor_service.evaluate_processor_version | source code | |
| Document_processor_service.fetch_processor_types | source code | |
| Document_processor_service.get_evaluation | source code | |
| Document_processor_service.get_processor | source code | |
| Document_processor_service.get_processor_type | source code | |
| Document_processor_service.get_processor_version | source code | |
| Document_processor_service.list_evaluations | source code | |
| Document_processor_service.list_processor_types | source code | |
| Document_processor_service.list_processor_versions | source code | |
| Document_processor_service.list_processors | source code | |
| Document_processor_service.process_document | source code | |
| Document_processor_service.review_document | source code | |
| Document_processor_service.set_default_processor_version | source code | |
| Document_processor_service.train_processor_version | source code | |
| Document_processor_service.undeploy_processor_version | source code | |
| Document_understanding_service.batch_process_documents | source code | |
| Document_understanding_service.batch_process_documents | source code | |
| Document_understanding_service.process_document | source code | |
| Document_processor_service.batch_process_documents | source code | |
| Document_processor_service.create_processor | source code | |
| Document_processor_service.delete_processor | source code | |
| Document_processor_service.delete_processor_version | source code | |
| Document_processor_service.deploy_processor_version | source code | |
| Document_processor_service.disable_processor | source code | |
| Document_processor_service.enable_processor | source code | |
| Document_processor_service.evaluate_processor_version | source code | |
| Document_processor_service.fetch_processor_types | source code | |
| Document_processor_service.get_evaluation | source code | |
| Document_processor_service.get_processor | source code | |
| Document_processor_service.get_processor_type | source code | |
| Document_processor_service.get_processor_version | source code | |
| Document_processor_service.import_processor_version | source code | |
| Document_processor_service.list_evaluations | source code | |
| Document_processor_service.list_processor_types | source code | |
| Document_processor_service.list_processor_versions | source code | |
| Document_processor_service.list_processors | source code | |
| Document_processor_service.process_document | source code | |
| Document_processor_service.review_document | source code | |
| Document_processor_service.set_default_processor_version | source code | |
| Document_processor_service.train_processor_version | source code | |
| Document_processor_service.undeploy_processor_version | source code | |
| Document_service.batch_delete_documents | source code | |
| Document_service.get_dataset_schema | source code | |
| Document_service.get_document | source code | |
| Document_service.import_documents | source code | |
| Document_service.list_documents | source code | |
| Document_service.update_dataset | source code | |
| Document_service.update_dataset_schema | source code | |
| Quickstart | source code | |
The Document AI Node.js Client API Reference documentation also contains samples.
Supported Node.js Versions
Our client libraries follow the Node.js release schedule. Libraries are compatible with all current active and maintenance versions of Node.js. If you are using an end-of-life version of Node.js, we recommend that you update as soon as possible to an actively supported LTS version.
Google's client libraries support legacy versions of Node.js runtimes on a best-efforts basis with the following warnings:
- Legacy versions are not tested in continuous integration.
- Some security patches and features cannot be backported.
- Dependencies cannot be kept up-to-date.
Client libraries targeting some end-of-life versions of Node.js are available, and
can be installed through npm dist-tags.
The dist-tags follow the naming convention legacy-(version).
For example, npm install @google-cloud/documentai@legacy-8 installs client libraries
for versions compatible with Node.js 8.
Versioning
This library follows Semantic Versioning.
This library is considered to be stable. The code surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period. Issues and requests against stable libraries are addressed with the highest priority.
More Information: Google Cloud Platform Launch Stages
Contributing
Contributions welcome! See the Contributing Guide.
Please note that this README.md, the samples/README.md,
and a variety of configuration files in this repository (including .nycrc and tsconfig.json)
are generated from a central template. To edit one of these files, make an edit
to its templates in
directory.
License
Apache Version 2.0
See LICENSE