OCR with AI

OCR is the technology that allows you to read and extract data from your invoices and delivery notes. Now there is an even more powerful solution: OCR technology with Artificial Intelligence
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OCR with AI: What is it?

An OCR with AI is a technology that allows machines to recognize and covert texts into digital format. It uses Artificial Intelligence algorithms to interpret and process images, improving the accuracy and speed of recognition. This facilitates the extraction of information from physical documents, such as invoices or delivery notes, streamlining administrative processes and reducing errors.

With an OCR solution that has AI abilities like Dost, you can automate manual tasks, optimizing efficiency and allowing companies to manage large volumes of data more quickly and accurately.

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Benefits of using OCR with AI

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Task automation

OCR automates data extraction from physical documents, eliminating the need for manual data entry and reducing the time and resources required to process documents.

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Reduction in errors

By eliminating human intervention in data transcription, OCR significantly reduces the risk of errors and increases the accuracy of information capture.

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Operating efficiency

By streamlining document processing, OCR improves a company's operational efficiency, allowing employees to focus on more strategic, higher-value-added tasks.

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Saving time and costs

By automating manual processes and reducing errors, OCR helps companies save time and resources, resulting in reduced operating costs.

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Quick data access

OCR converts physical documents into digital format, making it easier to access and allowing you to quickly find information, improving collaboration between teams and departments.

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Best experience

OCR can also improve the customer experience by streamlining processes such as invoice and delivery note management, companies can offer a faster and more efficient service to their customers.

Differences between traditional OCR
and AI OCR

Traditional OCR

OCR with AI

Recognizes basic visual patterns and
converts images to text
It recognizes visual patterns and adapts to different font styles and document formats
Limited to character recognition, no contextual
understanding
Understand the context of the document, extracting deeper meanings
You may have challenges with unconventional fonts or complex formats
It is versatile and precise in complex situations, adapting to various sources and formats
It is limited to converting images to text, without advanced processing
It goes beyond recognition, enabling advanced data processing and intelligent decision-making
It does not have the capacity for continuous learning. It depends on predefined rules
It can learn and adapt as it processes more data, improving its accuracy over time
It can result in incorrect interpretations, especially in ambiguous language
Provides accurate interpretations thanks to contextual understanding

From data to decisions

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