Low-code API no need for training, templating, or data validation.
We really mean No Code Data Capture regarding all processes, from document ingestion to use the data.
With DocDigitizer you just simply send a document via API and get curated and validated data. That means getting structured data back with (near) 100% accuracy.
The following table shows clearly the major difference between DocDigitizer and any other solution in the market.
DocDigitizer VS Other Solutions
| Step In the Data Capture Process | DocDigitizer | Other Solutions* | Cost Impact |
| Install Software | Not needed | Required | 25% |
| Define gold Data Set | Not needed | Required | |
| Train Models | Not needed | Required | |
| Develop Templates | Not needed | Required | |
| Test system | Not needed | Required | |
| Send Documents | Required | Required | - |
| Validate Data | Not needed | Required | 55% |
| Retrain Models | Not needed | Required | 20% |
| Maintain Templates | Not needed | Required | |
| Update Software | Not needed | Required | |
| Get Validated Data | Required | Required | - |
* Not all required if in the cloud solutions
No Code Data Capture – What does it mean?
Deploy time is reduced 95%
It takes less than 2 hours to you as an enterprise customer to be able to send documents and feed the data in production to your systems. Our competitors that weeks or months, with development teams involved in the set-up and maintenance and of course manage the whole human operation of data curation.
In deploying a project with DocDigitizer there are only three main steps involved. No matter what type of document, typed or manuscript, format or source.
Define the Data Schema of the data returned. Basically, you are defining what do you want to return from the documents. It is not linked to the document type or format. We are focused on what you need to get from the document to run your business, and not be focused on what the document holds.
Set up the API call and return on your end.
Send the documents and feed the data extracted into your systems: ERP, CRM , HCM, RPA.