Tesseract Reviews

Scrapy Reviews

Tesseract mentions (75)

• Ask HN: How to OCR a PDF and preserve whitespace?

  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 / 29 days ago

• OCR with tesseract, python and pytesseract

  If you want to learn more visit the complete tesseract documentation. - Source: dev.to / about 2 months ago

• Multimodal AI: Bridging the Gap Between Human and Machine Understanding

  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

• one of the Codia AI Design technologies: OCR Technology

  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

• How to Read Text From an Image with Python

  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

Scrapy mentions (95)

• Analyzing Svenskalag Data using DBT and DuckDB

  Using Scrapy I fetched the data needed (activities and attendance). Scrapy handled authentication using a form request in a very simple way:. - Source: dev.to / 19 days ago

• Scrapy Vs. Crawlee

  Scrapy is an open-source Python-based web scraping framework that extracts data from websites. With Scrapy, you create spiders, which are autonomous scripts to download and process web content. The limitation of Scrapy is that it does not work very well with JavaScript rendered websites, as it was designed for static HTML pages. We will do a comparison later in the article about this. - Source: dev.to / about 2 months ago

• What is SERP? Meaning, Use Cases and Approaches

  While there is no specific library for SERP, there are some web scraping libraries that can do the Google Search Page Ranking. One of them which is quite famous is Scrapy - It is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It offers rich developer community support and has been used by more than 50+ projects. - Source: dev.to / 7 months ago

• Creating an advanced search engine with PostgreSQL

  If you're looking for a turn-key solution, I'd have to dig a little. I generally write a scraper in python that dumps into a database or flat file (depending on number of records I'm hunting). Scraping is a separate subject, but once you write one you can generally reuse relevant portions for many others. If you can get adept at a scraping framework like Scrapy you can do it fairly quickly, but there aren't many... - Source: Hacker News / 12 months ago

• What do .NET devs use for web scraping these days?

  I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python). Source: about 1 year ago