Traditional OCRs are good at transcribing typed notes (e.g. pdfs) to editable docs, but do poorly with handwriting. The best OCRs I've seen can make a handwritten note searchable (e.g. Evernote) but still don't transcribe it editable form.
A lot of academic work on transcribing images of handwritten notes into text has surfaced over the last couple of years (mostly regarding using neural networks), and we decided to apply it
I was at LensCrafters the other day and had to fill out a paper form that someone input into a computer by hand, so definitely see the need there.
Our goal is to get a high enough accuracy for handwriting OCR to work in enterprise settings. 90% may be good for consumers, but I wouldn't want to put anyone's health on the line due to a transcription error
- Handwriting: "The plan is simple:"
- Google Doc: "The plan is simple and brilliant. Here are the steps:"
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