You can deploy this model and start earning money today!

arkhabbazan/
ocr-math-captcha

Name: ocr-math-captcha
Rating: 2.5 (74 reviews)

transformers

onnx

safetensors

vision-encoder-decoder

microsoft/trocr-base-printed

quantized

endpoints_compatible

Views

No views yet

OCR Match Captcha

A TrOCR model fine-tuned to recognize short mathematical captcha expressions such as 26+7=? and 45-6=?.

Handwritten captcha	Clean captcha
Distorted captcha	Math captcha

Model details

Architecture: Vision Encoder-Decoder / TrOCR
Base model: microsoft/trocr-base-printed
Task: Image-to-text OCR
Target geometry: 130x30 RGB images
Output: Mathematical expressions without spaces

Training configuration

Parameter	Value
Epochs	5
Learning rate	5e-6
Batch size	8
Gradient accumulation	2
Operator-token weight	3.0
Generation beams	4
Maximum output length	32

Usage

python

from PIL import Image
from transformers import TrOCRProcessor, VisionEncoderDecoderModel

repo_id = "arkhabbazan/ocr-match-captcha"
processor = TrOCRProcessor.from_pretrained(repo_id, token=True)
model = VisionEncoderDecoderModel.from_pretrained(repo_id, token=True)

image = Image.open("captcha.jpeg").convert("RGB")
pixel_values = processor(images=image, return_tensors="pt").pixel_values
generated_ids = model.generate(pixel_values, num_beams=4, max_length=32)
prediction = processor.batch_decode(
    generated_ids, skip_special_tokens=True
)[0]
print(prediction.replace(" ", ""))

Limitations

Training data is primarily synthetic.
Unseen fonts and layouts may reduce accuracy.
The model is intended for short expressions, not document OCR.
Usage must be authorized and compliant with applicable policies.

arkhabbazan/ocr-math-captcha