diff --git a/document-ai/quickstart.js b/document-ai/quickstart.js
deleted file mode 100644
index a1fe28e1ad..0000000000
--- a/document-ai/quickstart.js
+++ /dev/null
@@ -1,94 +0,0 @@
-/**
- * Copyright 2020, Google, Inc.
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *    http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-'use strict';
-
-async function main(projectId, location, processorId, filePath) {
-  // [START documentai_quickstart]
-  /**
-   * 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}`);
-    }
-  }
-  // [END documentai_quickstart]
-  await quickstart();
-}
-
-main(...process.argv.slice(2)).catch(err => {
-  console.error(err);
-  process.exitCode = 1;
-});