Google Cloud Document AI is a service that uses machine learning to automatically extract structured data from unstructured documents, such as PDFs and scanned images. It helps businesses streamline document processing by converting text, tables, and forms into actionable data.
About Google Cloud Document AI
Google Cloud Document AI was developed by Google to address the need for automated document processing. Launched in 2020, it aimed to help businesses efficiently extract and manage data from various types of documents, reducing manual effort and improving accuracy.
Google Cloud Document AI's strengths include high accuracy, scalability, and integration with other Google Cloud services. Its weaknesses may involve dependency on internet connectivity and potential privacy concerns with sensitive data. Competitors include Amazon Textract, Microsoft Azure Form Recognizer, and Adobe Document Cloud.
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How to hire a Google Cloud Document AI expert
A Google Cloud Document AI expert must have skills in machine learning, natural language processing, and data extraction. Proficiency in Google Cloud Platform, including services like Cloud Storage and Pub/Sub, is essential. Knowledge of Python or Java for API integration and experience with document processing workflows are also crucial.
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$ 224K
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$ 127K
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$ 97K
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