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Google Cloud Document AI Features
What are the features of Google Cloud Document AI?
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- File Type
- Color
- Crop
- Size
Logistics
- Upload
- Email Attachment
- Direct Send
- Document Management
- Search
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Google Cloud Document AI Categories on G2
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File Type | Based on 31 Google Cloud Document AI reviews. Save documents in a variety of file types | 84% (Based on 31 reviews) | |
Color | Offer the choice between color and black and white scanning 31 reviewers of Google Cloud Document AI have provided feedback on this feature. | 77% (Based on 31 reviews) | |
Crop | Allow users to crop and edit document formatting This feature was mentioned in 31 Google Cloud Document AI reviews. | 82% (Based on 31 reviews) | |
Size | Based on 31 Google Cloud Document AI reviews. Give users the option to adjust scanning size | 79% (Based on 31 reviews) |
Logistics
Upload | Allow users to upload documents directly to the platform This feature was mentioned in 32 Google Cloud Document AI reviews. | 87% (Based on 32 reviews) | |
Email Attachment | Send as an email attachment 31 reviewers of Google Cloud Document AI have provided feedback on this feature. | 81% (Based on 31 reviews) | |
Direct Send | As reported in 31 Google Cloud Document AI reviews. Send directly from the platform | 82% (Based on 31 reviews) | |
Document Management | Based on 31 Google Cloud Document AI reviews. Store and manage previously scanned documents | 83% (Based on 31 reviews) | |
Search | Based on 31 Google Cloud Document AI reviews. Let users search for documents within the platform | 81% (Based on 31 reviews) |
Data Capture
Multi-format Support | Allows the user to process documents in various formats such as PDF, DOCX, and JPEG. | Not enough data | |
OCR Capabilities | Gives user the ability to convert different types of documents into machine-readable text using Optical Character Recognition (OCR). | Not enough data |
Data Extraction
Entity Recognition | Enables the user to identify and extract specific entities like names, dates, and addresses from documents. | Not enough data | |
Text Classification | Gives user the ability to categorize sections of text within the document based on preset criteria. | Not enough data |
Data Validation
Accuracy Checking | Provides the user with the capability to validate the extracted data for accuracy. | Not enough data |
Workflow Automation
Batch Processing | Enables the user to process multiple documents in a single batch operation. | Not enough data | |
Process Integration | Gives user the ability to connect to automation technology, such as robotic process automation (RPA). | Not enough data |
Document Management
Search Functionality | Enables users to search through the content of processed documents easily. | Not enough data | |
Version Control | Allows the user to track changes and manage different versions of a document. | Not enough data |
Machine Learning
Custom Model Training | Gives user the ability to train custom machine learning models for specific data extraction tasks. | Not enough data |
Natural Language Processing
Sentiment Analysis | Provides the user with the ability to analyze the sentiment expressed in the textual content of the document. | Not enough data |
Semantic Analysis
Contextual Understanding | Allows the system to understand the context of words and phrases for better data extraction and classification. | Not enough data |
Data Integration
API Support | Provides the user with the ability to integrate the IDP system into other applications through APIs. | Not enough data |
Security
Compliance Standards | Assures the user that the system complies with industry regulations like GDPR. | Not enough data | |
Data Encryption | Ensures that all data processed is encrypted for security. | Not enough data |
