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OCR.space VS Textify

Compare OCR.space VS Textify and see what are their differences

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OCR.space logo OCR.space

The OCR.

Textify logo Textify

A small tool which allows to copy text from dialogs and controls which don’t allow it otherwise.
  • OCR.space Landing page
    Landing page //
    2023-05-11
  • Textify Landing page
    Landing page //
    2022-07-11

OCR.space features and specs

  • High Accuracy
    OCR.space offers high accuracy in text recognition from images, supporting various fonts and languages efficiently.
  • Wide Language Support
    Supports a broad range of languages, making it versatile for global use cases.
  • Free Tier Availability
    Provides a free tier with reasonable limitations, making it accessible for casual users or small projects.
  • API Access
    Offers an API for integration into applications, providing automated and scalable OCR solutions.
  • No Software Installation
    Being a web-based service means there is no need for software installation, reducing initial setup time and effort.

Possible disadvantages of OCR.space

  • Limited Free Usage
    The free tier has limitations on the number of requests, which might not be suitable for high-volume users.
  • Internet Dependency
    As a web-based service, it requires an internet connection, which might be restrictive in offline scenarios.
  • Privacy Concerns
    Uploading documents to a third-party server might raise privacy and security concerns for sensitive data.
  • Cost for Extended Usage
    Users requiring more extensive usage might find the cost of premium tiers gradually increasing with usage.
  • Response Time
    Processing time may vary depending on server load and internet speed, potentially causing delays.

Textify features and specs

  • Ease of Use
    Textify provides a simple interface that allows users to easily convert non-selectable text on the screen into selectable and copyable text.
  • Time Efficiency
    Users can save time by quickly extracting text from images, dialog boxes, and software menus without manually typing it out.
  • Versatility
    Textify can be used across different applications and scenarios where text selection is not typically available, making it a versatile tool for various needs.
  • Freeware
    The software is available for free, making it accessible to users without requiring a financial investment.

Possible disadvantages of Textify

  • Limited OS Compatibility
    Textify is primarily designed for Windows, which limits its usability for users on other operating systems like macOS and Linux.
  • Accuracy
    The accuracy of text recognition may vary depending on the font, size, and quality of the text being captured, leading to potential errors.
  • Limited Features
    Textify focuses primarily on text extraction, lacking additional functionalities that some users might expect from more comprehensive OCR software.
  • Dependent on System Performance
    The effectiveness of Textify can be influenced by the user's system performance, potentially affecting speed and reliability in resource-intensive environments.

OCR.space videos

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Textify videos

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Textify | App Review

More videos:

  • Review - Copy text from dialog box on Windows with Textify

Category Popularity

0-100% (relative to OCR.space and Textify)

OCR.space

Textify

OCR
61 61%
OCR
39% 39
Image Recognition
74 74%
Image Recognition
26% 26
Tool
0 0%
Tool
100% 100
Image To Text Converter
100 100%
Image To Text Converter
0% 0

User comments

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Social recommendations and mentions

Based on our record, OCR.space seems to be a lot more popular than Textify. While we know about 36 links to OCR.space, we've tracked only 2 mentions of Textify. 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.

OCR.space mentions (36)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    OCR.Space — An OCR API parses image and pdf files that return the text results in JSON format. Twenty-five thousand requests per month are free. - Source: dev.to / over 1 year ago
  • [DISC] - The angel who came to pick me up is a Gal (Oneshot by Shiraishi Kouhei)
    OCR works pretty good. ocr.space, ocr.best and cotrans.touhou.ai/ are all pretty nice. Source: almost 2 years ago
  • Currently scanning Chisato Moritaka's 1989 photobook, "Opera".
    Anyway, this title "Opera" has an interview dotted in between the "Acts" of the photobook, so I thought I'd try my hand at translating it. I've scanned the interview pages in greyscale mode, cleaned them up in photoshop, cropped them, and passed them through an online OCR (http://ocr.space/). I then asked ChatGPT4 to translate the Japanese text. Source: about 2 years ago
  • Elementary teacher
    Oh if the test itself is just on paper and not digitized you can take pictures then use https://ocr.space/ to scan all the text off it then bring it over to GPT for a spelling correction after then grade them from there. Wouldnt work for writing assignments though since it would fix any spelling/grammar mistakes that were originally there. Source: about 2 years ago
  • I can't understand crochet code
    That is a good idea. If you don't have a text, there are ways to convert pictures into text, here for example. Source: about 2 years ago
View more

Textify mentions (2)

What are some alternatives?

When comparing OCR.space and Textify, you can also consider the following products

PicturetoText.io - This picture to text converter allows you to convert and copy text from images and scanned documents for free of cost.

Capture2text - Capture2Text enables users to quickly OCR a portion of the screen using a keyboard shortcut.

Image to Text Converter - Image to text converter is a free online image OCR tool that allows you to extract text from image at one click. It converts picture to text accurately

TextSniper - Instantly extract any text from your Mac's screen

Image to Text - Extract text from any image using OCR

dpScreenOCR - Program to recognize text on screen

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