{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11481691","patent":{"patent_number":"US-11481691","title":"Machine learning-based text recognition system with fine-tuning model","assignee":null,"inventors":[],"filing_date":"2020-01-16T00:00:00.000Z","publication_date":"2022-10-25T00:00:00.000Z","cpc_codes":["G06V","G06F","G06N","G06N","G06N","G06V","G06V","G06V","G06V"],"num_claims":20,"abstract":"A non-transitory processor-readable medium stores instructions to be executed by a processor. The instructions cause the processor to receive a first trained machine learning model that generates a transcription based on a document. The instructions cause the processor to execute the first trained machine learning model and a second trained machine learning model to generate a refined transcription based on the transcription. The instructions cause the processor to execute a quality assurance program to generate a transcription score based on the document and the transcription. The instructions cause the processor to execute the quality assurance program to generate a refined transcription score based on the refined transcription and at least one of the document or the transcription. The at least one refined transcription score indicates an automation performance better than an automation performance for the at least one transcription score."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Machine learning-based text recognition system with fine-tuning model","description":"A non-transitory processor-readable medium stores instructions to be executed by a processor. The instructions cause the processor to receive a first trained machine learning model that generates a tr","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11481691","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11481691","citation_suggestion":"Patentable. \"Machine learning-based text recognition system with fine-tuning model\" (US-11481691). https://patentable.app/patents/US-11481691","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11481691","json":"https://patentable.app/api/llm-context/US-11481691","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T19:15:11.143Z"}