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Turn any image to speech with Speechify

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Take a look at how Speechify can turn any image to speech.

In this age of rapid technological growth, turning images into audible content has become a game-changer. With the help of Optical Character Recognition (OCR) technology, image to audio conversion can be accomplished in a few simple steps. Among the tools that excel in this field, Speechify stands out. This article dives into the core of how Speechify utilizes OCR to transform image text into audio files.

What is OCR technology?

OCR, or Optical Character Recognition, is a technology rooted in computer vision and pattern recognition. Its primary function is to extract text from images. Using advanced artificial intelligence algorithms and machine learning, OCR can identify and convert image text into audio files for easy listening.

Benefits of turning images into speech

While images have always been a dominant means of conveying information, catering only to the visual sense may exclude a significant portion of the population, including the visually impaired. Transforming images into speech opens up new avenues of accessibility, comprehension, and interaction. Here is just a small look at the benefits of turning images into speech:

  1. Accessibility: For individuals with visual impairments, converting image text to speech allows for better comprehension.
  2. Efficiency: Transforming images to speech allows users to quickly digest content without the need to read, especially when multitasking.
  3. Convenience: With OCR technology, users can enjoy the convenience of turning a workbook page or web page screenshot into an audio file that can be listened to on the go.
  4. Language learning: Listening to the text aloud from an image can enhance pronunciation and comprehension for learners.
  5. Flexibility: With OCR technology, users can convert any image, whether it's a photo of a document, a screenshot of a web page, or even a snap of a handwritten note.
  6. Storage: Users can convert image text into smaller, high-quality MP3 files for easy storage and sharing.
  7. Real-time conversion: Instant text to speech conversion ensures no waiting time for users.

How to read images aloud with Speechify’s OCR technology

Speechify's OCR (Optical Character Recognition) technology offers a seamless way to convert images into spoken words, providing individuals with a practical and empowering tool to engage with text embedded within images. Whether for educational, professional, or personal purposes, this step-by-step guide will walk you through the process of using Speechify's OCR technology to unlock the content concealed within images, making it accessible to a wider audience and enhancing the overall reading experience:

  1. Launch Speechify: Download the Speechify app from your respective store (Android/iOS), install the Speechify Chrome extension, or launch the Speechify website.
  2. Choose image: Click upload file and select the image with the text you wish to convert or snap a photo of the text directly.
  3. Text detection: The app's OCR technology will process the image, detect the text, and transcribe image to text.
  4. Text to speech conversion: Once text is extracted, Speechify’s image processing uses speech synthesis to convert the detected text into audible content.
  5. Play: Listen in real-time or save it as an MP3 file for later use.

Why use Speechify?

Speechify is a TTS app to which users can upload images with text, HTML files, web pages, docs, and more. The app works to extract text and convert it into easy-to-listen-to, natural-sounding audio that can read the text aloud. Whether you’re a busy professional who needs to get your information on the go or a student who is working to cram before a test, Speechify can make your life easier.

Speechify’s other features

Speechify, while celebrated for its cutting-edge OCR (Optical Character Recognition) technology, is more than just an image-to-speech tool. This multifaceted platform boasts an array of features designed to empower its users, fostering a more inclusive, adaptable, and user-friendly reading environment. Here are just a few of the features Speechify users love:

  • Text to speech (TTS): Apart from images, Speechify can convert any digital or physical text to a listening experience, including text files (like TXT), webpages, news articles, social media posts, study guides, emails, and so much more.
  • API access: For developers, Speechify provides an API, enabling integration into various platforms, including web pages and Python scripts.
  • Automatic library synchronization: Speechify automatically syncs your audio files between devices so that you’re able to keep listening where you left off no matter where you are.
  • Multiple languages: With over 20+ available languages, Speechify users can upload text in a variety of language options. Many people who are learning a new language love that they can create an immersive experience using Speechify.
  • Free trial: If you’re not sure whether a Speechify subscription is the right fit for you, no worries. You’ll be able to give the program a try for free to decide whether it’s the right fit for your needs.
  • Natural-sounding voices: You’ll be able to choose from a variety of voices to make your Speechify experience perfect for you. When you get to listen to a human-like voice, it’s easier to focus on the information you’re learning, instead of focusing on pronunciation and semantic errors from a robot-like voice.
  • Speed changes: With Speechify, you’ll get to choose the speed at which your audio files play. Going through information that you already have a good handle on? Speed it up to boost your productivity and get you moving to the information that you still need to learn.

Speechify - Turn any image into speech

Speechify stands at the frontier of accessibility tools, transforming the way we engage with written content. Speechify can turn any text into audio files, including text from physical documents or images, thanks to its advanced OCR technology. Whether it's a photographed page from a study guide, a screenshot of an email, or an image from a presentation, Speechify ensures users can listen to the content rather than solely rely on reading. This groundbreaking feature not only democratizes access for the visually impaired but also caters to learners and professionals who benefit from auditory processing. With Speechify, the barriers posed by the written word are effortlessly surmounted, making information universally accessible. Try Speechify for free today and see how it can level up your reading experience.

FAQ

How can I turn a picture into voice?

With the Speechify app, you can effortlessly turn a picture into voice by utilizing its advanced OCR technology to convert captured text into speech.

Is there an app that turns text into speech?

Yes, Speechify is an app that can turn text into speech, offering a wide range of features for enhanced accessibility and convenience.

What is a speech synthesizer?

A speech synthesizer is a computer-based system that generates spoken language by converting written text into a speech signal.

How is speech recognition different than text to speech?

Text to speech converts written text into spoken language, while speech recognition translates spoken language into written text.

How can I turn image to audio on Microsoft?

You can turn images into speech with OCR tools like Tesseract or Speechify. Speechify has the most likelike speech options on the market.

Tyler Weitzman

Tyler Weitzman

Tyler Weitzman is the Co-Founder, Head of Artificial Intelligence & President at Speechify, the #1 text-to-speech app in the world, totaling over 100,000 5-star reviews. Weitzman is a graduate of Stanford University, where he received a BS in mathematics and a MS in Computer Science in the Artificial Intelligence track. He has been selected by Inc. Magazine as a Top 50 Entrepreneur, and he has been featured in Business Insider, TechCrunch, LifeHacker, CBS, among other publications. Weitzman’s Masters degree research focused on artificial intelligence and text-to-speech, where his final paper was titled: “CloneBot: Personalized Dialogue-Response Predictions.”