FineReader is an all-in-one OCR and PDF software application designed to increase business productivity. It provides easy-to-use tools to access and modify information locked in paper-based documents and PDFs.
ABBYY FineReader PDF 16 for Windows Digitize, retrieve, edit, protect, share, and collaborate on all kinds of documents in the same workflow. Edit digital and scanned PDFs with a newfound ease: correct whole sentences and paragraphs or even adjust the layout. Incorporate paper documents into a digital workplace with AI-based OCR technology to simplify daily work.
ABBYY FineReader PDF for Mac® Manage your documents more easily and perform all document tasks quicker in digital workflows. Convert PDFs, document images and scans with unmatched accuracy Achieve new levels of productivity when converting documents with the latest OCR technology and view and reuse content from PDFs of any kind with ease.
ABBYY FineReader PDF for iOS - The first smart AI-powered scanner that turns your mobile device into an all-purpose tool to quickly capture docs and books, create electronic copies in PDF and JPEG, and extract texts from scans for further editing and sharing.
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ABBYY FineReader's answer:
If you’ve been using ABBYY FineReader PDF for Windows for a while, you’re probably familiar with some of its most commonly used features, such as scanning, saving, viewing, and navigating PDF documents. What you may not know is that FineReader PDF is the “Swiss Army Knife” of digital document applications, jam-packed with smart features that let you master PDFs in a whole new way. ABBYY uses the latest in artificial intelligence (AI) technology to give you an unprecedented level of control over the documents that power your life—for your family, for school, for your home. To give you just a glimpse of the full power of FineReader PDF, let’s take a quick tour of some of its most advanced features.
ABBYY FineReader's answer:
Flexible pricing plans: Benefit from one-year or three-year subscription plans On premise – locally installed, even for remote offline use Includes ABBYY's renowned OCR with a standardized workflow for any type of PDF Easy-to-use interface License-sharing capability Progressive volume discounts to reach more users for less budget
ABBYY FineReader's answer:
FineReader PDF empowers professionals to maximize efficiency in the digital workplace. Featuring ABBYY’s latest AI-based OCR technology, FineReader PDF makes it easier to digitize, retrieve, edit, protect, share, and collaborate on all kinds of documents in the same workflow. Now, information workers can focus even more on their expertise and less on administrative tasks
Based on our record, monkeylearn seems to be more popular. It has been mentiond 11 times since March 2021. 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.
MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification. Source: 6 months ago
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / over 1 year ago
MonkeyLearn supports 11 languages for data analysis (Spanish, Portuguese, German, Russian, Italian, French, Dutch, Chinese, Japanese, Korean and Arabic). But for sentiment analysis, only Spanish seems to be available, I’m not sure about that. Source: over 1 year ago
R3: Used RedditExtractoR in R to download all-time top posts, and ran the resulting .csv through https://monkeylearn.com/. Downloaded the resulting table and deleted top result "OC" - then visualized it with ggplot to give a sense of absolute numbers. Total posts considered in this are 988, the word cloud only looks at the 98 most mentioned words/phrases. Let me know if you have got any questions/concerns! Source: almost 2 years ago
Go to monkeylearn.com and sign up for a free demo. Then cut and paste your blog text into the extractor/classifier. Source: almost 2 years ago
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