Software Alternatives & Reviews

OCR.space VS Pen2txt

Compare OCR.space VS Pen2txt and see what are their differences

OCR.space logo OCR.space

The OCR.

Pen2txt logo Pen2txt

Transform handwritten notes into digital text with Pen2txt: the ultimate AI companion for flawless Handwritten Text Recognition (HTR). Combining OCR and AI for accurate, searchable, and editable results. Ideal for anyone digitizing documents.
  • OCR.space Landing page
    Landing page //
    2023-05-11
  • Pen2txt Pen2txt
    Pen2txt //
    2024-04-17

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.

OCR.space

Website
ocr.space
$ Details
-
Platforms
-
Release Date
-

Pen2txt

$ Details
paid Free Trial โ‚ฌ14.9 / Monthly
Platforms
Web
Release Date
2024 April

OCR.space features and specs

No features have been listed yet.

Pen2txt features and specs

  • Handwritting Recognition: Support for handwriting in many languages & Recognition of imperfect but legible handwriting without prior learning
  • Conversion to Digital Text: Automatic digitization and conversion of handwritten text & Automatic correction of spelling and grammar errors
  • Advanced Functionalities: Ability to enhance the output: error correction, development, summary & Automatic translation of the result into different languages
  • Ease of Use: Simple image upload from computer or phone, Seamless integration of results into software via copy-paste & Intuitive use without changing handwriting habits

Category Popularity

0-100% (relative to OCR.space and Pen2txt)
OCR
41 41%
59% 59
PDF Tools
100 100%
0% 0
OCR API
0 0%
100% 100
Image Recognition
100 100%
0% 0

Questions and Answers

As answered by people managing OCR.space and Pen2txt.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

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.

How would you describe your primary audience?

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.

What's the story behind your product?

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.

Which are the primary technologies used for building your product?

Pen2txt's answer:

Pen2txt leverages advanced deep learning models, trained on massive handwriting datasets using cutting-edge neural network architectures and computational techniques.

Who are some of the biggest customers of your product?

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.

User comments

Share your experience with using OCR.space and Pen2txt. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare OCR.space and Pen2txt

OCR.space Reviews

We have no reviews of OCR.space yet.
Be the first one to post

Pen2txt Reviews

  1. The best HTR I never used

    Pen2Txt.com is a lifesaver! Simple, fast, and accurate. Couldn't ask for more.

  2. Try it

    Try it yourself !

    ๐Ÿ Competitors: ABBYY FineReader
    ๐Ÿ‘ Pros:    Fast results, accurate answers
    ๐Ÿ‘Ž Cons:    Underated

Social recommendations and mentions

Based on our record, OCR.space seems to be more popular. It has been mentiond 36 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.

OCR.space mentions (36)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    OCR.Space โ€” 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 / 3 months 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: 8 months 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: 12 months 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: 12 months 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: 12 months ago
View more

Pen2txt mentions (0)

We have not tracked any mentions of Pen2txt yet. Tracking of Pen2txt recommendations started around Apr 2024.

What are some alternatives?

When comparing OCR.space and Pen2txt, you can also consider the following products

Tesseract - Tesseract is an optical character recognition engine for various operating systems

Pen to Print - Pen to Print: Convert handwriting to text created and published by Serendi LTD.

ABBYY FineReader - ABBYY's latest PDF editor software, FineReader 16 you can easily convert files like PDF to Excel, PDF to Word, edit, share, collaborate & more with this PDF editor!

Nanonets OCR - Intelligent text extraction using OCR and deep learning

Smart OCR - Shrewd OCR is the brand new way to deal with a lot of paper work.

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.