Computing method for populating digital forms from un-parsed data
A computing device is disclosed which includes a processor and non-transient memory operably connected to the processor. The non-transient memory includes instructions that, when executed by the processor cause the processor to extract a plurality of sub-strings from a character string, analyze each sub-string for compliance with each of several field definitions, where each of the field definitions corresponds to a field in a digital form, and populate some of the fields in the digital form based on the analysis of each sub-string for compliance with the field definitions.
1. A method comprising the steps of:
retrieving, via a processor, a digital form comprising a plurality of fields;
retrieving, via the processor, a plurality of field definitions associated with the plurality of fields;
generating, via the processor, a character string by applying a speech recognition algorithm to audio data comprising a user's speech;
recognizing, via the processor, a plurality of target keywords in the character string;
extracting, via the processor, a plurality of sub-strings from the character string based on the target keywords;
generating, via the processor, a numerical score by analyzing each sub-string for compliance with each of the plurality of field definitions, where each of the plurality of field definitions comprises a field name and a data type and corresponds to one of the plurality of fields in the digital form, where each sub-string is analyzed in real-time while the user speaks; and
populating, via the processor, a plurality of the fields in the digital form based on the numerical score generated during the analysis of each sub-string for compliance with each of the plurality of field definitions.
2. The method of claim 1 , where each of the plurality of field definitions further comprises a size limit.
3. The method of claim 1 , where the plurality of field definitions further comprises target keywords associated with the plurality of fields in the digital form.
4. The method of claim 1 , where analyzing each sub-string for compliance with each of a plurality of field definitions comprises applying a pattern-recognition algorithm to the sub-strings and the field definitions.
5. The method of claim 4 , where the pattern-recognition algorithm is generated using machine learning.
6. The method of claim 1 , where populating the plurality of the fields in the digital form occurs in real-time while the user speaks.
7. The method of claim 4 , where the method further comprises retrieving, via the processor, the pattern-recognition algorithm.
8. The method of claim 7 where the pattern-recognition algorithm is retrieved from a remote server.
9. The method of claim 7 where the pattern-recognition algorithm is retrieved from a non-transient memory.
10. The method of claim 1 where the digital form and the field definitions are retrieved from a remote server.
11. A method comprising the steps of:
retrieving, via a processor, a digital form comprising a plurality of fields;
generating a plurality of field definitions associated with the plurality of fields, based on the digital form;
generating, via the processor, a character string by applying a speech recognition algorithm to audio data comprising a user's speech;
recognizing, via the processor, a plurality of target keywords in the character string;
extracting, via the processor, a plurality of sub-strings from the character string based on the target keywords;
generating, via the processor, a numerical score by analyzing each sub-string for compliance with each of the plurality of field definitions, where each of the plurality of field definitions comprises a field name and a data type and corresponds to one of the plurality of fields in the digital form, where each sub-string is analyzed in real-time while the user speaks; and
populating, via the processor, a plurality of the fields in the digital form based on the numerical score generated during the analysis of each sub-string for compliance with each of the plurality of field definitions.
12. The method of claim 11 , where each of the plurality of field definitions further comprises a size limit.
13. The method of claim 11 , where the plurality of field definitions further comprises target keywords associated with the plurality of fields in the digital form.
14. The method of claim 11 , where analyzing each sub-string for compliance with each of a plurality of field definitions comprises applying a pattern-recognition algorithm to the sub-strings and the field definitions.
15. The method of claim 14 , where the pattern-recognition algorithm is generated using machine learning.
16. The method of claim 11 , where populating the plurality of the fields in the digital form occurs in real-time while the user speaks.
17. The method of claim 14 , where the method further comprises retrieving, via the processor, the pattern-recognition algorithm.
18. The method of claim 17 where the pattern-recognition algorithm is retrieved from a remote server.
19. The method of claim 17 where the pattern-recognition algorithm is retrieved from a non-transient memory.
20. The method of claim 19 where the digital form is retrieved from a remote server.