A set of tools to use in Microsoft Azure Form Recognizer and OCR services.

Flask-based application that analyses bank statements to generate interactive visualizations and analytical reports. Features include OCR-based data extraction, machine learning for transaction categorization, Azure SQL database integration, and PowerBI dashboards for expense tracking.

Sample of how to leverage Optical Character Recognition (OCR) to extract text from images to enable Full Text Search in Azure Search

MatchFlow is a full-stack invoice processing and purchase-order matching system—built on Clean Architecture with a React+Nginx front-end, a .NET 6 API back-end, Azure Form Recognizer OCR, Azure Blob Storage, and Docker Compose for one-command local setup.

An Optical Character Recognition (OCR) application using Blazor and Azure Computer Vision Cognitive Services

A simple cloud OCR application that employs Windows Azure Web and Worker Roles, Blobs, Tables, Queues, and uses Google Tesseract for text recognition.

Set of useful Azure Functions for doing advanced text processing such as Text Summarization and OCR on unstructured documents using Cognitive Services and Azure Functions

EduVision is a powerful AI-based study platform built for students and academic project seekers. It digitizes handwritten notes using OCR (Azure), summarizes them with AI, and generates quiz questions to aid in exam preparation. Ideal for final-year projects, EduVision includes a full-featured frontend (React + Tailwind), intelligent Python/Node.j

An Optical Character Recognition (OCR) using Angular and Azure Computer Vision Cognitive Services

A sample showing how-to use Azure Batch based on the Tesseract Open Source OCR Recognition software.

Enables Azure Document Intelligence as the OCR engine for Paperless-ngx (with specific support for Paperless-AI)

An automated Video Compliance QA pipeline using LangGraph audits videos with RAG against regulatory rules. It uses Azure Video Indexer + OCR, Azure AI Search + embeddings, and GPT-4o to detect violations and generate structured JSON reports, with LangSmith tracing and App Insights monitoring.

Using Azure Functions to enable processing of Receipt Images with Microsoft OCR services

Example of OCR using Azure API

NodeJs and Python Code Sample to Perform OCR and Handwriting Recognition

Expenses Bot Workshop that uses Azure Computer Vision (OCR) to extract printed text from receipts.

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This node.js Azure function converts Pdfs in blob storage to image files, also stored in blob storage. This can be useful for Microsoft Cognitive Services like OCR that need documents in PNG format.

AI-driven automatic OCR

Azure Function app to process an image sent from Twilio text message and using Microsoft Cognitive Services image OCR to reply with text in the image

Use Azure Cognitive Services and python to perform OCR on handwritten form data.

Scripts for creating clear text PDF from scanned images using Microsoft Azure Docunent Intelligence OCR

An Optical Character Recognition (OCR) application using Blazor and Azure Document Intelligence with prebuilt-invoice model

repo with some (UWP) code which does on-device OCR and falls back to the Azure 'text recognition' API

Image Translation Platform: A web app utilizing Azure AI services that converts text in images to multiple languages with audio output. Built with Python/Streamlit, it leverages Azure's Computer Vision (OCR), Translator, and Speech Services to extract, translate, and vocalize text. Supports EN, ES, FR, AR, DE with downloadable text/audio outputs.

A playground project written in Windows Forms (.NET Core 3.1) that uses Azure Computer Vision to perform Optical Character Recognition (OCR) on images in the Windows Clipboard. The recognised text can then be copied, or sent to a predefined list of Windows processes via the Keyboard Buffer (SendKeys) method.

A UI where a user can extract information from PDFs and images, as this project aims to create an application form where the user can upload a PDF document/Image containing machine readable text, the document analyzed by an Optical character recognition (OCR) to extract text from it. The extracted text is then saved in a text document in the local drive. Finally Flask Application is built to host the UI locally and cloud services like IBM cloud/Google Cloud/Azure is used to host the UI online. Modules involved: User image/pdf input, Pre-processing, Transformation & Local Saving.

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azure pdf ocr

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