Extracting Data from Documents with Artificial Intelligence
Intelligent Document Processing platform to extract data from documents using Artificial Intelligence models
Why is Recognition the best choice in Intelligent Document Processing?
Meet the challenges of document data extraction with a platform that goes beyond OCR
For all document types
Ready for the challenges
Business documents are not perfect. Lack of standardization, poor image quality and data complexity are all issues when it comes to automation. Recognition delivers reliable data in any situation.
Unstructured documents
Poor image quality
Handwritten information
Complex data tables
Different formats and sizes
Files with multiple documents
Lower TCO
Ready-to-use or customized templates
Start your project with our pre-built templates and don’t worry about maintenance. Documents change, and lack of updates can lead to errors and low data reliability over time. You can also create your own prompts in minutes using our AI wizard.
Don't start your project from scratch
Create your own models with our AI wizard
Frequent updates of original models
Knowledge base growth with new document types
Beyond OCR
Generative AI + Trained Models
Generative AI enriched with trained models raises data quality and confidence levels. Machine learning with labeled examples for the best result in data extraction.
Gen-AI processing
Multiple OCR engines
Prompts for structured responses
Models trained with labeled examples
See Recognition in action
Your document automation API can be ready right here, right now
Boost your automation with ready-to-use document data extraction models for a variety of business processes
Invoices
Accounts payable processing for any type of financial documents.
Electrical energy
Extraction of complex data such as consumption tables from energy bills.
Expenses
Expense receipts and utility bills without worrying about layouts.
Personal documents
Driver's license, ID, passport, proof of address and many others.
Human resources
Data extraction for automation from various HR documents.
Unstructured data
Generative AI to extract data from unstructured contracts, catalogs and forms.
Do you need help with IDP?
With the Recognition you can extract data from documents seamlessly into your preferred application. See how easy it is to connect and start automating document tasks.
RPA
Data ready to work with tasks
BPMS
Data ready to work with processes
ERP
Data ready to work with business
Robust, reliable and easy to use.
+10 million
+4.800
< 00:00:10
99%
Try online data extraction with Recognition
Submit a document to be processed by Recognition . If you prefer a more reliable result, select one of the trained models from our gallery.
Invoices
Bills (electricity, telecommunications)
Expenses
Human resources
Personal documents
Unstructured documents
Start using Recognition and get 300 free pages
A complete Intelligent Document Processing platform to automate processes with document data extraction.
300 pages free for 30 days
Full access to API, models and Gen-AI
We do not ask for payment information
Pacotes
Escolha o pacote que melhor lhe atende, ou se preferir contratar uma assinatura mensal fale com nossa equipe de atendimento.
Mensal
Anual Economize 15%
Starter
good for 100 pages month
R$58,00 Lorem
R$600,00 est. U$ 0.12 per page
-
1.000 pages
-
Available for 12 months
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Gallery AI
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Processor Gen-AI
-
Documentation on-line
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Technical support basic
-
Assistant for AI prompts
Business
good for 500 pages month
R$258,00 Lorem
R$2.700,00 est. U$ 0.10 per page
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5.000 pages
-
Available for 12 months
-
Gallery AI
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Processor Gen-AI
-
Documentation on-line
-
Technical support basic
-
Assistant for AI prompts
Enterprise
good for 1.500 pages month
R$900,00 Lorem
R$9.400,00 est. U$ 0.09 per page
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20.000 pages
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Available for 12 months
-
Gallery AI
-
Processor Gen-AI
-
Documentation on-line
-
Technical support basic
-
Assistant for AI prompts
Try talking to a specialist
Schedule a call with an expert and discover how to overcome the challenges of automating processes that use document data.
