Plivo simplifies customer engagement for leading brands like IBM, MercadoLibre, OneLogin and Zomato. Plivo’s suite of AI-driven solutions integrate seamlessly across multiple channels and enable businesses to acquire, service, and grow their global customer base. Founded in 2011, Plivo's offerings encompass programmable messaging and voice calls, OTP verification, loyalty marketing, contact center, and sales engagement.
I would recommend this to someone looking for a way to automate outbound calls. You don't need a developer, Plivo does all the heavy lifting for you. I use it for all my marketing needs and it has made my life so much easier. I have used it for a couple of years now, and I am always pleased with the quality of service and support.
Based on our record, Tesseract seems to be a lot more popular than Plivo. While we know about 75 links to Tesseract, we've tracked only 1 mention of Plivo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is so nostalgic. I actually met my cofounder on github due to a discussion on twisted vs gevent back in 2011. I had my inital code in twisted and he wrote the gevent piece. Fast forward 12 years and we still use gevent at http://plivo.com :) Some of our initial code snippets: # Twisted. - Source: Hacker News / 11 months ago
Many of the OCR services are based on the free, open-source Tesseract OCR, but don’t expose all of the options. If you’re handy with shell scripts or Python, you can probably get better performance by hand-tuning options for your particular images. For example, if I recall there are page segmentation options to tell Tesseract to expect multi-column text. That alone might get you better performance than the... - Source: Hacker News / 30 days ago
If you want to learn more visit the complete tesseract documentation. - Source: dev.to / about 2 months ago
AI copilots: Copilots powered by various LLMs like Pieces Copilot can leverage computer vision technologies for inputs beyond text and code. For example, optical character recognition software at Pieces uses Tesseract as its main OCR code engine, extended with bicubic upsampling. Pieces then uses edge-ML models to auto-correct any potential defects in the resulting code/text, which users can input as prompts to... - Source: dev.to / about 2 months ago
You will also need to install the Tesseract OCR engine, which can be downloaded and installed from the following link: https://github.com/tesseract-ocr/tesseract. - Source: dev.to / 5 months ago
Tesseract is an open-source OCR engine developed by Google. It is highly accurate and supports multiple languages. This library will do all the heavy lifting for us. We'll use it in this tutorial to quickly read the text in some images. - Source: dev.to / 9 months ago
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