Plasmic
Bubble.io
Twinr
App Press
zeroqode
Paragon
Nebo
teleportHQ
Pen2txt
Pen to Print
Nanonets OCR
Amazon Textract
Aspose.Pdf for Cloud
Grabtext AI
Docsumo
Nebo
Create stunning visual content and pages, seamlessly integrating no-code into your codebase. Unblock your teams and ship lightning fast.
Pen2txt.com is an online handwriting recognition service that allows you to extract text from handwritten documents, notes, and forms. It utilizes advanced AI models to accurately recognize handwritten text across numerous languages, including cursive styles.
Key features of pen2txt.com:
Handwritten Text Recognition: Upload images containing handwriting, and pen2txt will automatically recognize and digitize the handwritten text content.
Extensive Language Support: It can recognize handwriting in numerous languages.
Live Correction with Chatbot: A chatbot is integrated to allow users to provide corrections and get translations in real-time on the extracted text output.
Output Format: Extracted text can be copied and pasted for easy editing and use.
High Accuracy: Employs state-of-the-art deep learning models trained on millions of handwriting samples, providing the best handwriting recognition solution currently available globally.
Pen2txt.com aims to streamline the process of digitizing handwritten content from various sources, saving significant time over manual transcription. The service is valuable for individuals, businesses, researchers, and anyone needing to efficiently extract text from handwritten documents. Currently, no API is available for integration into applications or workflows.
Plasmic Pen2txtNo features have been listed yet.
No Pen2txt videos yet. You could help us improve this page by suggesting one.
Pen2txt's answer:
Pen2txt.com differentiates itself as the most accurate handwriting recognition solution globally, providing unmatched accuracy through advanced AI models, extensive multi-language support including live translation via an integrated chatbot, and a simple, user-friendly experience.
Pen2txt's answer:
Pen2txt should be chosen over competitors for its unparalleled accuracy, innovative live correction and translation features, extensive multi-language support, user-friendly experience, and cutting-edge AI technology that make it the leading global handwriting recognition solution.
Pen2txt's answer:
Pen2txt's primary audience are individuals, businesses, and organizations globally seeking an accurate, multilingual, and user-friendly solution to digitize handwritten content efficiently.
Pen2txt's answer:
Pen2txt was founded by an entrepreneur who struggled to find an accurate and efficient way to digitize handwritten notes and documents for their own use, leading them to develop a state-of-the-art AI-powered handwriting recognition solution.
Pen2txt's answer:
Pen2txt leverages advanced deep learning models, trained on massive handwriting datasets using cutting-edge neural network architectures and computational techniques.
Pen2txt's answer:
Although targeting large corporations, universities, and government agencies, Pen2txt primarily relies on word-of-mouth from satisfied users to gain visibility, as online discovery remains a challenge for this cutting-edge handwriting recognition solution.
Pen2Txt.com is a lifesaver! Simple, fast, and accurate. Couldn't ask for more.
Try it yourself !
Based on our record, Plasmic seems to be more popular. It has been mentiond 10 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.
As a "no-code sales person," I actually agree. It's why we started on https://plasmic.app, to bridge the gap between low-code and code—we think there can exist low-code tools that integrate deeply with existing code and codebases, to allow scaling in complexity. A very nice effect of this is cross-functional collaboration—once it's possible for the team's developers to provide the right components as building... - Source: Hacker News / 8 months ago
Https://plasmic.app is a soon-open-source visual builder that (uniquely) integrates with codebases. (I work on this!) So you can build within existing apps and use your own arbitrarily complex React components. This is what makes it suitable for complex production projects, because (as many others note) you'll invariably hit ceilings with typical low-code tools. It focuses on both websites and applications, so it... - Source: Hacker News / 8 months ago
That sounds like Plasmic: https://plasmic.app You register React components as building blocks, and compose them together into websites and web apps. - Source: Hacker News / 10 months ago
Anyone here familiar with Plasmic (plasmic.app) for building, and using it to collect form data from the page? It seems like there is either a very simple way to create an html form that I can't see how to route to a database, or I will have to create custom React components to add to their store and use, which ... I have no experience with, and don't need to spend 20 hours learning when this should be simple. Source: over 1 year ago
You can take a look at plasmic (https://plasmic.app). For simple landing and portfolio pages it's very straightforeward. You can do any complexity with it but I'm more of a designer too and just starting with the program... Source: over 1 year ago
Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
Pen to Print - Pen to Print: Convert handwriting to text created and published by Serendi LTD.
Twinr - Convert Any website to Android or IOS mobile app in minutes! (No Code Platform)
Nanonets OCR - Intelligent text extraction using OCR and deep learning
App Press - App Press provides tools to create and publish apps for iOS and Android.
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.