Browsing: Processing

Financial institutions process thousands of complex documents daily. Optical Character Recognition (OCR) errors in financial data can propagate through interconnected calculations, affecting analytical accuracy. While a…

Before you can extract information from documents using intelligent document processing (IDP) techniques, you need a schema for each document class that defines what to extract.…

In this tutorial, we build an advanced hands-on workflow with the Deepgram Python SDK and explore how modern voice AI capabilities come together in a single…

consumer = huey.create_consumer( workers=4, worker_type=WORKER_THREAD, periodic=True, initial_delay=0.1, backoff=1.15, max_delay=2.0, scheduler_interval=1, check_worker_health=True, health_check_interval=10, flush_locks=False, ) consumer_thread = threading.Thread(target=consumer.run, daemon=True) consumer_thread.start() print(“Consumer started (threaded).”) print(“\nEnqueue basics…”) r1 =…

This post is cowritten by Jeremy Little and Chris Day from Rocket Close. Rocket Close, a Detroit-based title and appraisal management company within the Rocket Companies…

In this tutorial, we explore how we use Daft as a high-performance, Python-native data engine to build an end-to-end analytical pipeline. We start by loading a…

This post is cowritten by Jeremy Jacobson and Rado Fulek from Ricoh. This post demonstrates how enterprises can overcome document processing scaling limits by combining generative…

Popular iPhone camera app Halide is debuting a major update today: Halide Mark III. It’s been years in the making, and it’ll be available as a…

This post is cowritten by Nikhil Mathugar, Marc Breslow and Sudhanshu Sinha from Totogi. This blog post describes how Totogi automates change request processing. Totogi is…

Image by Author   # Introduction  Working with JSON in Python is often challenging. The basic json.loads() only gets you so far. API responses, configuration files, and…