OCR library to extract text & tables from PDF files and images. Convert any image or PDF to CSV / TXT / JSON / Searchable PDF.

In this code, a simple implementation of PDF to audio converter is shown

Detect and extract containers code in a video.

Convert pdf to audiobooks 📚

Google Solution Challenge 2024. Team Cornflakes VIT Chennai

Converts a whole subdirectory with a big (or small) volume of PDF documents to a dataset (pandas DataFrame) with error tracking and choice of features

Detect and scan the license plate number from vehicle images

Medical Data Extraction By Pytesseract (Google Optical Character Recognition Engine) and Computer Vision

This is an OCR Bot for Discord made using OpenCV and Pytesseract

Solving Sudoku Puzzles With Computer Vision And Neural Networks

An interface to extract text from a video and convert it to speech

Flask ALPR is a web service for automatic license plate recognition (ALPR). The web service is written in Python using Flask for REST API and OpenCV with PyTesseract for plate recognition. The service offers two REST API-s, one for checking if licence plate is detected and one for detecting licence plate from camera image. All detected licence p…

Charla de web scraping sobre datos públicos de Chile

Simple Streamlit application that parses the data from Invoice images and returns it in JSON format

A tool that automizes the process of pulling data tables from PDF documents where they are as scans

PROJECT(Image_detector)_using_python_Libraries

This Python script converts a PDF file to Word format using OCR (Optical Character Recognition). It extracts text from each page of the PDF, converts the pages to images, performs OCR on the images, and saves the extracted text to text files.

A simple demo to show the power of PyTesseract: Simple Python Optical Character Recognition

"Docs in a Row" is an automated script designed to handle image data extraction, correction, categorization, and storage. It utilizes a variety of technologies including OpenAI, Google Cloud Vision, pytesseract, and PIL to extract and correct text from images, categorize the content, and store useful metadata.

Named Entity Extraction with OpenCV, Pytesseract, Spacy (OCR + NER), BIO Labelling