jpg-to-excel-utils vs voltage
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A powerful image-to-table extraction utility. It allows developers to parse JPG/PNG images containing tabular data and convert them into machine-readable formats (Excel, CSV, JSON) for data processing pipelines. | An open-source, FFmpeg-based video encoding API that supports multiple concurrent instances. Easily scale video processing with parallel encoding, efficient resource management, and flexible API en... |
ocr, api, developer-tools, data-extraction, image-processing | RESTful Video Encoding API, FFmpeg-powered processing engine, Self-hosted & Open-source, Docker-ready deployment, Asynchronous encoding jobs, Background processing & queue support, Format conversion (MP4, WebM, MOV, etc.), Resolution scaling & bitrate control, Thumbnail generation, Webhook support for job status, Preset-based encoding system, Cloud storage compatible (S3-compatible), Horizontal scaling ready, Lightweight & infrastructure-friendly, |
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What are some alternatives to jpg-to-excel-utils, voltage?
Sidekiq
Sidekiq uses threads to handle many jobs at the same time in the same process. It does not require Rails but will integrate tightly with Rails 3/4 to make background processing dead simple.
Beanstalkd
Beanstalks's interface is generic, but was originally designed for reducing the latency of page views in high-volume web applications by running time-consuming tasks asynchronously.
Hangfire
It is an open-source framework that helps you to create, process and manage your background jobs, i.e. operations you don't want to put in your request processing pipeline. It supports all kind of background tasks – short-running and long-running, CPU intensive and I/O intensive, one shot and recurrent.
Google Cloud Vision API
Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.
Resque
Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do both.
Tesseract OCR
Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.
delayed_job
Delayed_job (or DJ) encapsulates the common pattern of asynchronously executing longer tasks in the background. It is a direct extraction from Shopify where the job table is responsible for a multitude of core tasks.
DocRaptor
DocRaptor makes it easy to convert HTML to PDF and XLS format. Choose your document format, select configuration options and make an HTTP POST request to our server. DocRaptor returns your file in a matter of seconds. We provide extensive documentation and examples to get you started, and our API makes it easy to use DocRaptor to generate PDF and Excel files in your own web applications.
Amazon Rekognition
Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, and faces in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications.
Pandoc
It is a free and open-source document converter, widely used as a writing tool and as a basis for publishing workflows. It converts files from one markup format into another. It can convert documents in (several dialects of) Markdown, reStructuredText, textile, HTML, DocBook, LaTeX, MediaWiki markup, TWiki and many more.