pdf-ocr
Datasets
All datasets matching “pdf-ocr”meddies-ocr-pdfpdf_ocrocr-pdf-degraded
OCR-PDF-Degraded Dataset
Overview
This dataset contains synthetically degraded document images paired with their ground truth OCR text. It addresses a critical gap in OCR model training by providing realistic document degradations that simulate real-world conditions encountered in production environments.
Purpose
Most OCR models are trained on relatively clean, perfectly scanned documents. However, in real-world applications, especially in the military/defense… See the full description on the dataset page: https://huggingface.co/datasets/racineai/ocr-pdf-degraded.pdf-ocr-datasetresumes-raw-pdf-for-ocrExtracted lists of pages from PDF resumes and the PDF texts.
Created using this code:
import io
import PIL.Image
from datasets import load_dataset
def render(pdf):
images = []
for page in pdf.pages:
buffer = io.BytesIO()
page.to_image(height=840).save(buffer)
images.append(PIL.Image.open(buffer))
return images
def extract_text(pdf):
return "\n".join(page.extract_text() for page in pdf.pages)
ds = load_dataset("d4rk3r/resumes-raw-pdf", split="train")… See the full description on the dataset page: https://huggingface.co/datasets/lhoestq/resumes-raw-pdf-for-ocr.0004-pdf-falcon-ocr
Document Processing using Falcon OCR (plain mode)
This dataset contains OCR results from images in stephenmcconnachie/0004-pdf-pages-test using Falcon OCR, a 0.3B early-fusion vision-language model.
Processing Details
Source Dataset: stephenmcconnachie/0004-pdf-pages-test
Model: tiiuae/Falcon-OCR
Task Mode: plain - Full-page text extraction
Number of Samples: 50
Processing Time: 1.8 min
Processing Date: 2026-06-20 09:46 UTC
Backend: falcon-perception… See the full description on the dataset page: https://huggingface.co/datasets/stephenmcconnachie/0004-pdf-falcon-ocr.