A wrapper to work with Tesseract OCR inside PHP.
-
Updated
Oct 5, 2023 - PHP
A wrapper to work with Tesseract OCR inside PHP.
Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.
A flutter package for Fast, Accurate and Secure Credit card & Debit card scanning
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
To extract details from Indian National Identification Cards such as PAN (completed) & Aadhar, Passport, Driving License (WIP) in a structured format
Telegram bot to convert image to text using python
The module extracts text from image using the tesseract-OCR engine. Generally, text present in the images are blur or are of uneven sizes. The image is pre-processed for better comprehension by OCR. This module first makes bounding box for text in images and then normalizes it to 300 dpi, suitable for OCR engine to read.
A Node.js wrapper for the Tesseract OCR API
MORT 번역기 프로젝트 - Real-time game translator with OCR
Easiest way to use AI models without coding (Web UI & API support)
Tesseract.js OCR
Solution to im2latex request for research of openai
OCR with Google's AI technology (Cloud Vision API)
In this system we need to enter an image(like government document) ,it can convert image data into string
Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)
OCR library to extract text & tables from PDF files and images. Convert any image or PDF to CSV / TXT / JSON / Searchable PDF.
Codebase for fine-tuning / evaluating nougat-based image2latex generation models
Everything is very simple: you either download a picture file or specify its link when running a python script, and output you get a text file, and you can immediately view on the command line how it will look the result of your conversion.
DangoOCR: screenshot OCR recognize 文字识别,支持多种语言,识别后翻译,播放声音
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering
Add a description, image, and links to the image-to-text topic page so that developers can more easily learn about it.
To associate your repository with the image-to-text topic, visit your repo's landing page and select "manage topics."