
article2audio
Listening.io
Read2Me
Article Reader AI
Woord
Talkify
Mockoon
FastComments
TextSniper
Capture2text
ABBYY Screenshot Reader
dpScreenOCR
Textify
KanjiTomo
Q-Dir
Easy Screen OCR
The app converts web pages to speech while considering many nuances, such as pauses between paragraphs or after headings, image captions and AI image descriptions, pre-formatted text (code), and more.
TextSniper is an easy-to-use desktop Mac OCR app that can extract and recognize any non-searchable and non-editable text on your Mac's screen. As an extra feature, it can turn OCR text into speech. It is a super convenient alternative to complicated optical character recognition tools.
The tool is intuitive to use and makes extracting text from your images, scanned paper documents, PDFs, or even videos simple and easy. No training or special skills required, fits perfectly home and business mac users. Easily accessible from the menu bar whenever you need it and has a simple user interface.
If you ever have used a built-in mac's screen capture application before, then it wouldn't be any trouble to work with TextSniper too. Select with a mouse any part of an image, photo, PDF document, or anything on your screen, and the app will process and recognize any text within this selection. The text output will be saved into a clipboard, so you could paste it into your favorite macOS text editing or note-taking software.
Finally, the app's optical character recognition engine doesn't need an internet connection to process documents. Great OCR solution for those who are concerned about privacy. The application does not collect any users' data.
article2audio
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article2audio's answer
The app converts web pages to speech while considering many nuances, such as pauses between paragraphs or after headings, image captions and AI image descriptions, pre-formatted text (code), and more.
article2audio's answer
article2audio focuses on quality text voice-over instead of quantity of voices or supported languages
Based on our record, TextSniper seems to be a lot more popular than article2audio. While we know about 35 links to TextSniper, we've tracked only 1 mention of article2audio. 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.
Https://article2audio.app/ is my creation. It's a BMW of article readers -- it handles images, tables, preformatted text, and many other nuances of a Web page. I built it to scratch my own itch. I invite you to a free trial. This app can be useful for listeners who want to enjoy articles while driving, in a gym, etc., and for website owners who want to offer an audio version of their articles. - Source: Hacker News / almost 2 years ago
Continuing working on my project - TextSniper https://textsniper.app/ macOS application for text recognition. - Source: Hacker News / almost 2 years ago
I am still working on https://textsniper.app. - Source: Hacker News / almost 2 years ago
For OCR of any PDF (or frozen hard-to-read jpg), I use the $12 forever TextSniper (https://textsniper.app). Source: about 3 years ago
I use a Mac, but here's an example of software I use that can take a screenshot and read them to me: https://textsniper.app. Source: over 3 years ago
The guy literally mentions the software he uses for that in the video. It's called TextSniper. The underlying technology is called optical character recognition (or OCR for short). Source: over 3 years ago
Listening.io - Turn articles into audio and listen in your podcast app
Capture2text - Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.
Read2Me - Convert your website articles into podcasts
ABBYY Screenshot Reader - ABBYY Screenshot Reader turns text within any image captured from your screen into an editable format without retyping
Article Reader AI - Listen to blogs, articles and e-books through our engaging AI voices, trained to deliver unparalleled clarity and human-level emotion.
dpScreenOCR - Program to recognize text on screen