Best model to extract text from old Church records written in cursive?

[John6666]

Basically, this task can be performed using VLM, but recognizing actual handwritten characters and text is quite difficult. I recommend trying out various models online and using the ones that work well locally. With VRAM savings through quantization, there are models that can run with 6GB.

microsoft/trocr-large-handwritten · Hugging Face

Handwriting recognition. Can't recognize multiline words

I expect the model trocr-base-handwritten to extract all the text from the picture. [16e9e061da2.9e37232443debf53] But the result is got from it is sentiment. Full code: from transformers import TrOCRProcessor, VisionEncoderDecoderModel from PIL import Image p = 'picture.png' processor = TrOCRProcessor.from_pretrained("trocr-base-handwritten/") model = VisionEncoderDecoderModel.from_pretrained("trocr-base-handwritten/") image = Image.open(p) image_rgb = image.convert('RGB') pixels = proces…

Handwritten OCR w/ confidence scores

Hello everyone, I am currently looking for suggestions to implement a handwritten unstructured invoice parsing pipeline. What open-source models do you recommend for handwritten ocr/parsing? I have tried EaysOCR, Qwen, Intern-MPO, LayoutLM but they all seem to achieve poor results with handwritten invoices. The idea is to find an open-source alternative to Textract OCR, so that I can fine-tune it when Textract performs poorly. Thank you!

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