From 7974be0b557fc8a52ffe8e26ea0e66731602770c Mon Sep 17 00:00:00 2001 From: Matt Carroll Date: Fri, 12 Nov 2021 14:29:02 -0800 Subject: [PATCH] docs(samples): add OCR, form, quality, splitter and specialized processing samples (#283) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * docs(samples): add OCR, form, quality, splitter and specialized processing samples * 🦉 Updates from OwlBot See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md Co-authored-by: Owl Bot --- document-ai/process-document-form.js | 132 ++++++++++++++ document-ai/process-document-ocr.js | 166 ++++++++++++++++++ document-ai/process-document-quality.js | 87 +++++++++ document-ai/process-document-specialized.js | 94 ++++++++++ document-ai/process-document-splitter.js | 107 +++++++++++ .../resources/document_quality_poor.pdf | Bin 0 -> 630277 bytes document-ai/resources/handwritten_form.pdf | Bin 0 -> 638893 bytes document-ai/resources/multi_document.pdf | Bin 0 -> 3161090 bytes document-ai/resources/us_driver_license.pdf | Bin 0 -> 624274 bytes .../test/process-document-form.test.js | 60 +++++++ document-ai/test/process-document-ocr.test.js | 53 ++++++ .../test/process-document-quality.test.js | 53 ++++++ .../test/process-document-specialized.test.js | 52 ++++++ .../test/process-document-splitter.test.js | 59 +++++++ 14 files changed, 863 insertions(+) create mode 100644 document-ai/process-document-form.js create mode 100644 document-ai/process-document-ocr.js create mode 100644 document-ai/process-document-quality.js create mode 100644 document-ai/process-document-specialized.js create mode 100644 document-ai/process-document-splitter.js create mode 100644 document-ai/resources/document_quality_poor.pdf create mode 100644 document-ai/resources/handwritten_form.pdf create mode 100644 document-ai/resources/multi_document.pdf create mode 100644 document-ai/resources/us_driver_license.pdf create mode 100644 document-ai/test/process-document-form.test.js create mode 100644 document-ai/test/process-document-ocr.test.js create mode 100644 document-ai/test/process-document-quality.test.js create mode 100644 document-ai/test/process-document-specialized.test.js create mode 100644 document-ai/test/process-document-splitter.test.js diff --git a/document-ai/process-document-form.js b/document-ai/process-document-form.js new file mode 100644 index 0000000000..bf0459d93e --- /dev/null +++ b/document-ai/process-document-form.js @@ -0,0 +1,132 @@ +/** + * Copyright 2021, 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_process_form_document] + /** + * 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').v1beta3; + + // Instantiates a client + const client = new DocumentProcessorServiceClient(); + + async function processDocument() { + // 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); + + console.log('Document processing complete.'); + + // Read the table and form fields output from the processor + // The form processor also contains OCR data. For more information + // on how to parse OCR data please see the OCR sample. + // For a full list of Document object attributes, + // please reference this page: https://googleapis.dev/nodejs/documentai/latest/index.html + const {document} = result; + const {text} = document; + console.log(`Full document text: ${JSON.stringify(text)}`); + console.log(`There are ${document.pages.length} page(s) in this document.`); + + for (const page of document.pages) { + console.log(`\n\n**** Page ${page.pageNumber} ****`); + + console.log(`Found ${page.tables.length} table(s):`); + for (const table of page.tables) { + const numCollumns = table.headerRows[0].cells.length; + const numRows = table.bodyRows.length; + console.log(`Table with ${numCollumns} columns and ${numRows} rows:`); + printTableInfo(table, text); + } + console.log(`Found ${page.formFields.length} form field(s):`); + for (const field of page.formFields) { + const fieldName = getText(field.fieldName.textAnchor, text); + const fieldValue = getText(field.fieldValue.textAnchor, text); + console.log( + `\t* ${JSON.stringify(fieldName)}: ${JSON.stringify(fieldValue)}` + ); + } + } + } + + const printTableInfo = (table, text) => { + // Print header row + let headerRowText = ''; + for (const headerCell of table.headerRows[0].cells) { + const headerCellText = getText(headerCell.layout.textAnchor, text); + headerRowText += `${JSON.stringify(headerCellText.trim())} | `; + } + console.log( + `Collumns: ${headerRowText.substring(0, headerRowText.length - 3)}` + ); + // Print first body row + let bodyRowText = ''; + for (const bodyCell of table.bodyRows[0].cells) { + const bodyCellText = getText(bodyCell.layout.textAnchor, text); + bodyRowText += `${JSON.stringify(bodyCellText.trim())} | `; + } + console.log( + `First row data: ${bodyRowText.substring(0, bodyRowText.length - 3)}` + ); + }; + + // Extract shards from the text field + const getText = (textAnchor, text) => { + 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); + }; + + // [END documentai_process_form_document] + await processDocument(); +} + +main(...process.argv.slice(2)).catch(err => { + console.error(err); + process.exitCode = 1; +}); diff --git a/document-ai/process-document-ocr.js b/document-ai/process-document-ocr.js new file mode 100644 index 0000000000..5aadeeab92 --- /dev/null +++ b/document-ai/process-document-ocr.js @@ -0,0 +1,166 @@ +/** + * Copyright 2021, 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_process_ocr_document] + /** + * 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').v1beta3; + + // Instantiates a client + const client = new DocumentProcessorServiceClient(); + + async function processDocument() { + // 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); + + console.log('Document processing complete.'); + + // Read the text recognition output from the processor + // For a full list of Document object attributes, + // please reference this page: https://googleapis.dev/nodejs/documentai/latest/index.html + const {document} = result; + const {text} = document; + + // Read the text recognition output from the processor + console.log(`Full document text: ${JSON.stringify(text)}`); + console.log(`There are ${document.pages.length} page(s) in this document.`); + for (const page of document.pages) { + console.log(`Page ${page.pageNumber}`); + printPageDimensions(page.dimension); + printDetectedLanguages(page.detectedLanguages); + printParagraphs(page.paragraphs, text); + printBlocks(page.blocks, text); + printLines(page.lines, text); + printTokens(page.tokens, text); + } + } + + const printPageDimensions = dimension => { + console.log(` Width: ${dimension.width}`); + console.log(` Height: ${dimension.height}`); + }; + + const printDetectedLanguages = detectedLanguages => { + console.log(' Detected languages:'); + for (const lang of detectedLanguages) { + const code = lang.languageCode; + const confPercent = lang.confidence * 100; + console.log(` ${code} (${confPercent.toFixed(2)}% confidence)`); + } + }; + + const printParagraphs = (paragraphs, text) => { + console.log(` ${paragraphs.length} paragraphs detected:`); + const firstParagraphText = getText(paragraphs[0].layout.textAnchor, text); + console.log( + ` First paragraph text: ${JSON.stringify(firstParagraphText)}` + ); + const lastParagraphText = getText( + paragraphs[paragraphs.length - 1].layout.textAnchor, + text + ); + console.log( + ` Last paragraph text: ${JSON.stringify(lastParagraphText)}` + ); + }; + + const printBlocks = (blocks, text) => { + console.log(` ${blocks.length} blocks detected:`); + const firstBlockText = getText(blocks[0].layout.textAnchor, text); + console.log(` First block text: ${JSON.stringify(firstBlockText)}`); + const lastBlockText = getText( + blocks[blocks.length - 1].layout.textAnchor, + text + ); + console.log(` Last block text: ${JSON.stringify(lastBlockText)}`); + }; + + const printLines = (lines, text) => { + console.log(` ${lines.length} lines detected:`); + const firstLineText = getText(lines[0].layout.textAnchor, text); + console.log(` First line text: ${JSON.stringify(firstLineText)}`); + const lastLineText = getText( + lines[lines.length - 1].layout.textAnchor, + text + ); + console.log(` Last line text: ${JSON.stringify(lastLineText)}`); + }; + + const printTokens = (tokens, text) => { + console.log(` ${tokens.length} tokens detected:`); + const firstTokenText = getText(tokens[0].layout.textAnchor, text); + console.log(` First token text: ${JSON.stringify(firstTokenText)}`); + const firstTokenBreakType = tokens[0].detectedBreak.type; + console.log(` First token break type: ${firstTokenBreakType}`); + const lastTokenText = getText( + tokens[tokens.length - 1].layout.textAnchor, + text + ); + console.log(` Last token text: ${JSON.stringify(lastTokenText)}`); + const lastTokenBreakType = tokens[tokens.length - 1].detectedBreak.type; + console.log(` Last token break type: ${lastTokenBreakType}`); + }; + + // Extract shards from the text field + const getText = (textAnchor, text) => { + 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); + }; + + // [END documentai_process_ocr_document] + await processDocument(); +} + +main(...process.argv.slice(2)).catch(err => { + console.error(err); + process.exitCode = 1; +}); diff --git a/document-ai/process-document-quality.js b/document-ai/process-document-quality.js new file mode 100644 index 0000000000..80d3a291fa --- /dev/null +++ b/document-ai/process-document-quality.js @@ -0,0 +1,87 @@ +/** + * Copyright 2021, 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_process_quality_document] + /** + * 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').v1beta3; + + // Instantiates a client + const client = new DocumentProcessorServiceClient(); + + async function processDocument() { + // 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); + + console.log('Document processing complete.'); + + // Read the quality-specific information from the output from the + // Intelligent Document Quality Processor: + // https://cloud.google.com/document-ai/docs/processors-list#processor_doc-quality-processor + // OCR and other data is also present in the quality processor's response. + // Please see the OCR and other samples for how to parse other data in the + // response. + const {document} = result; + for (const entity of document.entities) { + const entityConf = entity.confidence * 100; + const pageNum = parseInt(entity.pageAnchor.pageRefs.page) + 1 || 1; + console.log( + `Page ${pageNum} has a quality score of ${entityConf.toFixed(2)}%:` + ); + for (const prop of entity.properties) { + const propConf = prop.confidence * 100; + console.log(`\t* ${prop.type} score of ${propConf.toFixed(2)}%`); + } + } + } + + // [END documentai_process_quality_document] + await processDocument(); +} + +main(...process.argv.slice(2)).catch(err => { + console.error(err); + process.exitCode = 1; +}); diff --git a/document-ai/process-document-specialized.js b/document-ai/process-document-specialized.js new file mode 100644 index 0000000000..d8be171c1f --- /dev/null +++ b/document-ai/process-document-specialized.js @@ -0,0 +1,94 @@ +/** + * Copyright 2021, Google, Inc. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +'use strict'; + +async function main(projectId, location, processorId, filePath) { + // [START documentai_process_specialized_document] + /** + * TODO(developer): Uncomment these variables before running the sample. + */ + // const projectId = 'YOUR_PROJECT_ID'; + // const location = 'YOUR_PROJECT_LOCATION'; // Format is 'us' or 'eu' + // const processorId = 'YOUR_PROCESSOR_ID'; // Create processor in Cloud Console + // const filePath = '/path/to/local/pdf'; + + const {DocumentProcessorServiceClient} = + require('@google-cloud/documentai').v1beta3; + + // Instantiates a client + const client = new DocumentProcessorServiceClient(); + + async function processDocument() { + // The full resource name of the processor, e.g.: + // projects/project-id/locations/location/processor/processor-id + // You must create new processors in the Cloud Console first + const name = `projects/${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); + + console.log('Document processing complete.'); + + // Read fields specificly from the specalized US drivers license processor: + // https://cloud.google.com/document-ai/docs/processors-list#processor_us-driver-license-parser + // retriving data from other specalized processors follow a similar pattern. + // For a complete list of processors see: + // https://cloud.google.com/document-ai/docs/processors-list + // + // OCR and other data is also present in the quality processor's response. + // Please see the OCR and other samples for how to parse other data in the + // response. + const {document} = result; + for (const entity of document.entities) { + // Fields detected. For a full list of fields for each processor see + // the processor documentation: + // https://cloud.google.com/document-ai/docs/processors-list + const key = entity.type; + // some other value formats in addition to text are availible + // e.g. dates: `entity.normalizedValue.dateValue.year` + const textValue = entity.textAnchor.content; + const conf = entity.confidence * 100; + console.log( + `* ${JSON.stringify(key)}: ${JSON.stringify(textValue)}(${conf.toFixed( + 2 + )}% confident)` + ); + } + } + + // [END documentai_process_specialized_document] + await processDocument(); +} + +main(...process.argv.slice(2)).catch(err => { + console.error(err); + process.exitCode = 1; +}); diff --git a/document-ai/process-document-splitter.js b/document-ai/process-document-splitter.js new file mode 100644 index 0000000000..4d23c9be06 --- /dev/null +++ b/document-ai/process-document-splitter.js @@ -0,0 +1,107 @@ +/** + * Copyright 2021, 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_process_splitter_document] + /** + * 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').v1beta3; + + // Instantiates a client + const client = new DocumentProcessorServiceClient(); + + async function processDocument() { + // 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); + + console.log('Document processing complete.'); + + // Read fields specificly from the specalized US drivers license processor: + // https://cloud.google.com/document-ai/docs/processors-list#processor_us-driver-license-parser + // retriving data from other specalized processors follow a similar pattern. + // For a complete list of processors see: + // https://cloud.google.com/document-ai/docs/processors-list + // + // OCR and other data is also present in the quality processor's response. + // Please see the OCR and other samples for how to parse other data in the + // response. + const {document} = result; + console.log(`Found ${document.entities.length} subdocuments:`); + for (const entity of document.entities) { + const conf = entity.confidence * 100; + const pagesRange = pageRefsToRange(entity.pageAnchor.pageRefs); + if (entity.type !== '') { + console.log( + `${conf.toFixed(2)}% confident that ${pagesRange} a "${ + entity.type + }" subdocument.` + ); + } else { + console.log( + `${conf.toFixed(2)}% confident that ${pagesRange} a subdocument.` + ); + } + } + } + + // Converts a page ref to a string describing the page or page range. + const pageRefsToRange = pageRefs => { + if (pageRefs.length === 1) { + const num = parseInt(pageRefs[0].page) + 1 || 1; + return `page ${num} is`; + } else { + const start = parseInt(pageRefs[0].page) + 1 || 1; + const end = parseInt(pageRefs[1].page) + 1; + return `pages ${start} to ${end} are`; + } + }; + + // [END documentai_process_splitter_document] + await processDocument(); +} + +main(...process.argv.slice(2)).catch(err => { + console.error(err); + process.exitCode = 1; +}); diff --git a/document-ai/resources/document_quality_poor.pdf b/document-ai/resources/document_quality_poor.pdf new file mode 100644 index 0000000000000000000000000000000000000000..3a34a925c0406487ff0b11cbd56d8a8bafaa1dfc GIT binary patch literal 630277 zcmaG{V{m0bw~aIL#Ky!owkMp}&W)2B+jb_lZQIGjwr$&*SZ}^puj>2vs?MKt&g$NK zS9f*q-fK05!Y?s;W(GERiuv=?U3g{^CK6ji3wS<0MiB>N11DPt5^7mn4|6Lk14ecR 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