Machine learning-based text recognition system with fine-tuning model

An apparatus, comprising:

• a first compute device having a processor and a memory storing instructions executable by the processor to:
• (a) receive, from a second compute device remote from the first compute device, a first trained machine learning model configured to generate at least one of a first plurality of transcriptions or a first plurality of transcription confidence scores based on a first plurality of documents;
• (b) train, at the first compute device, a second machine learning model based on the first machine learning model, a second plurality of documents, and at least one of a second plurality of transcriptions or a second plurality of transcription confidence scores, to produce a second trained machine learning model,
• the second plurality of documents and the at least one of the second plurality of transcriptions or the second plurality of transcription confidence scores being client-specific data accessible by the first compute device but not accessible by the second compute device;
• and
• (c) execute, at the first compute device, the first trained machine learning model and the second trained machine learning model to generate at least one of a transcription or a transcription confidence score from a document.

A non-transitory processor-readable medium storing code representing instructions to be executed by a processor of a first compute device, the code comprising code to cause the processor to:

• (a) receive, from a second compute device remote from the first compute device, a first trained machine learning model not trained using client-specific data and configured to generate at least one transcription based on at least one document;
• (b) execute the first trained machine learning model and a second trained machine learning model to generate at least one refined transcription based on the at least one transcription, the second trained machine learning model trained using client-specific data;
• and
• (c) execute a quality assurance program to generate at least one transcription score based on the at least one document and the at least one transcription;
• (d) execute the quality assurance program to generate at least one refined transcription score based on the at least one refined transcription and at least one of the at least one document or the at least one transcription, the at least one refined transcription score indicating a second automation performance better than a first automation performance for the at least one transcription score, the first automation performance determined based on a likelihood generated by the first trained machine learning model, the second automation performance determined based on a likelihood generated by the second trained machine learning model.